From 624347725573cfcc87433a9dfd1fda8fac894cbe Mon Sep 17 00:00:00 2001 From: Ilank <63646693+ilan7empest@users.noreply.github.com> Date: Fri, 3 Nov 2023 02:19:13 +0900 Subject: [PATCH] Impl [Tests] Sprint 149 (#2061) Collecting PRs into branch **development** from branch **tests**: * Updated test for navigation bar - project monitoring the main screen - quick-actions the second screen - Jira: ML-4667 * Created tests for Datasets, Artifacts, Models - Check filter by "All" tag is performed when version tag was edited - Jira: ML-4158 * Updated/created tests for Batch Inference - update mock with batch inference_v2 - create test for check components (batch inference_v2, preview text, model path type store) - Jira: ML-4485, ML-4781, ML-4697 --------- Co-authored-by: EZheln <36635708+EZheln@users.noreply.github.com> Co-authored-by: Olena Zhelnytska --- tests/features/common-tools/common-consts.js | 3 + .../page-objects/commonPagesHeader.po.js | 16 +- .../common/page-objects/project.po.js | 15 + tests/features/datasets.feature | 46 +- tests/features/files.feature | 48 +- tests/features/models.feature | 30 +- tests/features/projectHomePage.feature | 31 +- tests/features/projectPage.feature | 25 +- tests/features/step-definitions/steps.js | 14 + tests/mockServer/data/hubItemInference.json | 46 +- tests/mockServer/data/itemsCatalog.json | 9122 +++++++++-------- .../batch_inference/batch_inference.yaml | 133 - .../batch_inference_v2.yaml | 177 + tests/mockServer/mock.js | 12 +- 14 files changed, 5400 insertions(+), 4318 deletions(-) delete mode 100644 tests/mockServer/data/mlrun/functions/batch_inference/batch_inference.yaml create mode 100644 tests/mockServer/data/mlrun/functions/batch_inference_v2/batch_inference_v2.yaml diff --git a/tests/features/common-tools/common-consts.js b/tests/features/common-tools/common-consts.js index f9123ac0c..c9f704a92 100644 --- a/tests/features/common-tools/common-consts.js +++ b/tests/features/common-tools/common-consts.js @@ -203,6 +203,9 @@ module.exports = { Parameters_Table_Header_Hyper: ['Hyper','Name', 'Type', 'Value'], Image_Name_Text: 'The image must include all the software packages that are required to run the function. For example, for an XGBoost model, ensure that the image includes the correct XGboost package and version' }, + Batch_Inference: { + Model_Path_Type_Store: ['MLRun store'] + }, Register_Artifact: { Type_Options: ['General', 'Chart', 'Plot', 'Table'], Form_Text: diff --git a/tests/features/common/page-objects/commonPagesHeader.po.js b/tests/features/common/page-objects/commonPagesHeader.po.js index ddff46dd2..a91847212 100644 --- a/tests/features/common/page-objects/commonPagesHeader.po.js +++ b/tests/features/common/page-objects/commonPagesHeader.po.js @@ -57,17 +57,14 @@ module.exports = { Project_Settings_Icon: By.css( '.ml-app .navbar .navbar__additional .navbar-links svg' ), - Project_Monitoring_Button: By.css( - '.navbar .navbar__body .navbar__content .navbar-links #monitor' - ), Pin_Quick_Link_Button: By.css( '.navbar .navbar__body .tooltip-wrapper button.round-icon-cp__circle' ), Navigation_Bar: By.css('.ml-app .navbar'), - Project_Home_Button: By.css('#home > span'), - Project_Home_Icon: By.css('#home > svg'), - Project_Monitoring_Button_Text: By.css('#monitor > span'), + Project_Monitoring_Button: By.css('#monitor > span'), Project_Monitoring_Icon: By.css('#monitor > svg'), + Quick_actions_Button: By.css('#quick-actions > span'), + Quick_actions_Icon: By.css('#quick-actions > svg'), Feature_Store_Button: By.css('#feature-store > span'), Feature_Store_Icon: By.css('#feature-store > svg'), Datasets_Button: By.css('#datasets > span'), @@ -84,5 +81,10 @@ module.exports = { Real_Time_Functions_Icon: By.css('.ml-app .navbar .navbar__content .navbar-links .nav-link:nth-of-type(9) svg'), API_Gateways_Button: By.css('.ml-app .navbar .navbar__content .navbar-links .nav-link:nth-of-type(10) span'), API_Gateways_Icon: By.css('.ml-app .navbar .navbar__content .navbar-links .nav-link:nth-of-type(10) svg'), - General_Info_Quick_Panel: By.css('.ml-app .navbar .navbar__body') + General_Info_Quick_Panel: By.css('.ml-app .navbar .navbar__body'), + Project_Quick_Actions_Instance: By.css('.project-details__details .link'), + Quick_actions_Active: By.css('#quick-actions'), + Project_Monitoring_First_Instance: By.css('.project-details__details .link'), + Project_Monitoring_Second_Instance: By.css('.project-overview-card:nth-of-type(3) .link:nth-of-type(4)'), + Project_Monitoring_Active: By.css('#monitor'), } diff --git a/tests/features/common/page-objects/project.po.js b/tests/features/common/page-objects/project.po.js index f197eae98..01752c34e 100644 --- a/tests/features/common/page-objects/project.po.js +++ b/tests/features/common/page-objects/project.po.js @@ -443,6 +443,21 @@ module.exports = { Refresh_Button: By.css('.page-actions .round-icon-cp') }, batchInference: { + Function_Title: By.css( + '.modal .modal__content h6.modal__header-sub-title' + ), + Form_Header_Batch_Run: By.css('.form .form-row .form-step-title'), + Edit_Button: By.css('.form-table__row:nth-of-type(3) .form-table__actions-cell .round-icon-cp:nth-of-type(1)'), + Data_Inputs_Path_Dropdown: dropdownComponent( + generateDropdownGroup( + '.form-table__row_active .form-field-combobox', + '.form-field-combobox__select', + '.form-field-combobox__dropdown-list-option' + ) + ), + Preview_text: By.css( + '.modal .modal__content .modal__header-preview-text' + ), Next_Button: By.css( '.modal__footer .btn-secondary' ), diff --git a/tests/features/datasets.feature b/tests/features/datasets.feature index d0425e5e4..e9df533d7 100644 --- a/tests/features/datasets.feature +++ b/tests/features/datasets.feature @@ -325,7 +325,7 @@ Feature: Datasets Page Then verify redirection from "projects/INVALID/datasets/test_ds/latest/0/overview" to "projects" Then verify redirection from "projects/default/INVALID/test_ds/latest/0/overview" to "projects" - Scenario: Check active/highlited items with details panel on Models tab + Scenario: Check active/highlited items with details panel on Datasets Given open url And wait load page And click on row root with value "churn-project-admin" in "name" column in "Projects_Table" table on "Projects" wizard @@ -334,21 +334,21 @@ Feature: Datasets Page And click on cell with value "Datasets" in "link" column in "General_Info_Quick_Links" table on "commonPagesHeader" wizard And wait load page Then click on cell with row index 1 in "name" column in "Datasets_Table" table on "Datasets" wizard - Then verify "Info_Pane_Tab_Selector" element visibility on "Models_Info_Pane" wizard - Then verify "Overview" tab is active in "Info_Pane_Tab_Selector" on "Models_Info_Pane" wizard - Then verify "Header" element visibility on "Models_Info_Pane" wizard + Then verify "Info_Pane_Tab_Selector" element visibility on "Datasets_Info_Pane" wizard + Then verify "Overview" tab is active in "Info_Pane_Tab_Selector" on "Datasets_Info_Pane" wizard + Then verify "Header" element visibility on "Datasets_Info_Pane" wizard Then save to context "name" column on 1 row from "Datasets_Table" table on "Datasets" wizard - Then compare "Header" element value on "Models_Info_Pane" wizard with test "name" context value + Then compare "Header" element value on "Datasets_Info_Pane" wizard with test "name" context value Then verify that row index 1 is active in "Datasets_Table" table on "Datasets" wizard Then verify that row index 2 is NOT active in "Datasets_Table" table on "Datasets" wizard Then click on cell with row index 2 in "name" column in "Datasets_Table" table on "Datasets" wizard Then verify that row index 2 is active in "Datasets_Table" table on "Datasets" wizard Then verify that row index 1 is NOT active in "Datasets_Table" table on "Datasets" wizard - Then verify "Info_Pane_Tab_Selector" element visibility on "Models_Info_Pane" wizard - Then verify "Overview" tab is active in "Info_Pane_Tab_Selector" on "Models_Info_Pane" wizard - Then verify "Header" element visibility on "Models_Info_Pane" wizard + Then verify "Info_Pane_Tab_Selector" element visibility on "Datasets_Info_Pane" wizard + Then verify "Overview" tab is active in "Info_Pane_Tab_Selector" on "Datasets_Info_Pane" wizard + Then verify "Header" element visibility on "Datasets_Info_Pane" wizard Then save to context "name" column on 2 row from "Datasets_Table" table on "Datasets" wizard - Then compare "Header" element value on "Models_Info_Pane" wizard with test "name" context value + Then compare "Header" element value on "Datasets_Info_Pane" wizard with test "name" context value Scenario: MLD009 - Check that version tag is filled when edit it in table view and full view on Overview tab table on Datasets page Given open url @@ -424,4 +424,32 @@ Scenario: MLD011 - Check that version tag has "Click to add" status when it's em When click on cell with row index 1 in "name" column in "Datasets_Table" table on "Datasets" wizard And wait load page Then "Version_Tag_Input_Placeholder" element on "Datasets_Info_Pane" should contains "Click to add" value + +Scenario: MLD012 - Check filter by "All" tag is performed when version tag was edited + Given open url + And wait load page + And click on row root with value "default" in "name" column in "Projects_Table" table on "Projects" wizard + And wait load page + And hover "Project_Navigation_Toggler" component on "commonPagesHeader" wizard + And click on cell with value "Datasets" in "link" column in "General_Info_Quick_Links" table on "commonPagesHeader" wizard + And wait load page + Then click on "Table_FilterBy_Button" element on "Datasets" wizard + Then select "All" option in "Table_Tree_Filter_Dropdown" dropdown on "Artifacts_FilterBy_Popup" wizard + Then click on "Apply_Button" element on "Artifacts_FilterBy_Popup" wizard + And wait load page + Then click on cell with row index 2 in "name" column in "Datasets_Table" table on "Datasets" wizard + Then save to context "name" column on 2 row from "Datasets_Table" table on "Datasets" wizard + Then compare "Header" element value on "Datasets_Info_Pane" wizard with test "name" context value + Then check "latest" value in "tag" column in "Overview_Table" table on "Datasets_Info_Pane" wizard + Then click on "Edit_btn_table_view" element on "Datasets_Info_Pane" wizard + Then type value "latest123456" to "Version_tag_Input" field on "Datasets_Info_Pane" wizard + Then click on "Apply_Button" element on "Datasets_Info_Pane" wizard + Then click on "Apply_Changes_Button" element on "Datasets_Info_Pane" wizard + And wait load page + Then verify "Info_Pane_Tab_Selector" on "Datasets_Info_Pane" wizard should contains "Datasets_Info_Pane"."Tab_List" + Then verify "Overview" tab is active in "Info_Pane_Tab_Selector" on "Datasets_Info_Pane" wizard + Then verify "Overview_General_Headers" on "Datasets_Info_Pane" wizard should contains "Datasets_Info_Pane"."Overview_General_Headers" + Then check "latest123456" value in "tag" column in "Overview_Table" table on "Datasets_Info_Pane" wizard + Then save to context "name" column on 2 row from "Datasets_Table" table on "Datasets" wizard + Then compare "Header" element value on "Datasets_Info_Pane" wizard with test "name" context value \ No newline at end of file diff --git a/tests/features/files.feature b/tests/features/files.feature index 1708b1c14..12ac3eb7d 100644 --- a/tests/features/files.feature +++ b/tests/features/files.feature @@ -390,7 +390,7 @@ Feature: Files Page Then verify redirection from "projects/automation-test-011/files/test_file/latest/IVNALID/overview" to "projects/automation-test-011/files" Then verify redirection from "projects/INVALID/files" to "projects" - Scenario: Check active/highlited items with details panel on Models tab + Scenario: Check active/highlited items with details panel on Artifacts Given open url And wait load page And click on row root with value "default" in "name" column in "Projects_Table" table on "Projects" wizard @@ -399,21 +399,21 @@ Feature: Files Page And click on cell with value "Artifacts" in "link" column in "General_Info_Quick_Links" table on "commonPagesHeader" wizard And wait load page Then click on cell with row index 1 in "name" column in "Files_Table" table on "Files" wizard - Then verify "Info_Pane_Tab_Selector" element visibility on "Models_Info_Pane" wizard - Then verify "Overview" tab is active in "Info_Pane_Tab_Selector" on "Models_Info_Pane" wizard - Then verify "Header" element visibility on "Models_Info_Pane" wizard + Then verify "Info_Pane_Tab_Selector" element visibility on "Files_Info_Pane" wizard + Then verify "Overview" tab is active in "Info_Pane_Tab_Selector" on "Files_Info_Pane" wizard + Then verify "Header" element visibility on "Files_Info_Pane" wizard Then save to context "name" column on 1 row from "Files_Table" table on "Files" wizard - Then compare "Header" element value on "Models_Info_Pane" wizard with test "name" context value + Then compare "Header" element value on "Files_Info_Pane" wizard with test "name" context value Then verify that row index 1 is active in "Files_Table" table on "Files" wizard Then verify that row index 2 is NOT active in "Files_Table" table on "Files" wizard Then click on cell with row index 2 in "name" column in "Files_Table" table on "Files" wizard Then verify that row index 2 is active in "Files_Table" table on "Files" wizard Then verify that row index 1 is NOT active in "Files_Table" table on "Files" wizard - Then verify "Info_Pane_Tab_Selector" element visibility on "Models_Info_Pane" wizard - Then verify "Overview" tab is active in "Info_Pane_Tab_Selector" on "Models_Info_Pane" wizard - Then verify "Header" element visibility on "Models_Info_Pane" wizard + Then verify "Info_Pane_Tab_Selector" element visibility on "Files_Info_Pane" wizard + Then verify "Overview" tab is active in "Info_Pane_Tab_Selector" on "Files_Info_Pane" wizard + Then verify "Header" element visibility on "Files_Info_Pane" wizard Then save to context "name" column on 2 row from "Files_Table" table on "Files" wizard - Then compare "Header" element value on "Models_Info_Pane" wizard with test "name" context value + Then compare "Header" element value on "Files_Info_Pane" wizard with test "name" context value Scenario: MLA009 - Check that version tag is filled when edit it in table view and full view on Overview tab table on Artifacts page Given open url @@ -488,4 +488,32 @@ Scenario: MLA011 - Check that version tag has "Click to add" status when it's em And wait load page When click on cell with row index 1 in "name" column in "Files_Table" table on "Files" wizard And wait load page - Then "Version_Tag_Input_Placeholder" element on "Files_Info_Pane" should contains "Click to add" value \ No newline at end of file + Then "Version_Tag_Input_Placeholder" element on "Files_Info_Pane" should contains "Click to add" value + +Scenario: MLA012 - Check filter by "All" tag is performed when version tag was edited + Given open url + And wait load page + And click on row root with value "default" in "name" column in "Projects_Table" table on "Projects" wizard + And wait load page + And hover "Project_Navigation_Toggler" component on "commonPagesHeader" wizard + And click on cell with value "Artifacts" in "link" column in "General_Info_Quick_Links" table on "commonPagesHeader" wizard + And wait load page + Then click on "Table_FilterBy_Button" element on "Files" wizard + Then select "All" option in "Table_Tree_Filter_Dropdown" dropdown on "Artifacts_FilterBy_Popup" wizard + Then click on "Apply_Button" element on "Artifacts_FilterBy_Popup" wizard + And wait load page + Then click on cell with row index 2 in "name" column in "Files_Table" table on "Files" wizard + Then save to context "name" column on 2 row from "Files_Table" table on "Files" wizard + Then compare "Header" element value on "Files_Info_Pane" wizard with test "name" context value + Then check "latest" value in "tag" column in "Overview_Table" table on "Files_Info_Pane" wizard + Then click on "Edit_btn_table_view" element on "Files_Info_Pane" wizard + Then type value "latest123456" to "Version_tag_Input" field on "Files_Info_Pane" wizard + Then click on "Apply_Button" element on "Files_Info_Pane" wizard + Then click on "Apply_Changes_Button" element on "Files_Info_Pane" wizard + And wait load page + Then verify "Info_Pane_Tab_Selector" on "Files_Info_Pane" wizard should contains "Files_Info_Pane"."Tab_List" + Then verify "Overview" tab is active in "Info_Pane_Tab_Selector" on "Files_Info_Pane" wizard + Then verify "Overview_General_Headers" on "Files_Info_Pane" wizard should contains "Files_Info_Pane"."Overview_General_Headers" + Then check "latest123456" value in "tag" column in "Overview_Table" table on "Files_Info_Pane" wizard + Then save to context "name" column on 2 row from "Files_Table" table on "Files" wizard + Then compare "Header" element value on "Files_Info_Pane" wizard with test "name" context value \ No newline at end of file diff --git a/tests/features/models.feature b/tests/features/models.feature index 1a3fc2fa2..13ab955ca 100644 --- a/tests/features/models.feature +++ b/tests/features/models.feature @@ -881,4 +881,32 @@ Scenario: MLM023 - Check that version tag has "Click to add" status when it's em And wait load page When click on cell with row index 2 in "name" column in "Models_Table" table on "Models" wizard And wait load page - Then "Version_Tag_Input_Placeholder" element on "Models_Info_Pane" should contains "Click to add" value \ No newline at end of file + Then "Version_Tag_Input_Placeholder" element on "Models_Info_Pane" should contains "Click to add" value + +Scenario: MLM024 - Check filter by "All" tag is performed when version tag was edited + Given open url + And wait load page + And click on row root with value "default" in "name" column in "Projects_Table" table on "Projects" wizard + And wait load page + And hover "Project_Navigation_Toggler" component on "commonPagesHeader" wizard + And click on cell with value "Models" in "link" column in "General_Info_Quick_Links" table on "commonPagesHeader" wizard + And wait load page + Then click on "Table_FilterBy_Button" element on "Models" wizard + Then select "All" option in "Table_Tree_Filter_Dropdown" dropdown on "Artifacts_FilterBy_Popup" wizard + Then click on "Apply_Button" element on "Artifacts_FilterBy_Popup" wizard + And wait load page + Then click on cell with row index 3 in "name" column in "Models_Table" table on "Models" wizard + Then save to context "name" column on 3 row from "Models_Table" table on "Models" wizard + Then compare "Header" element value on "Models_Info_Pane" wizard with test "name" context value + Then check "latest" value in "tag" column in "Overview_Table" table on "Models_Info_Pane" wizard + Then click on "Edit_btn_table_view" element on "Models_Info_Pane" wizard + Then type value "latest123456" to "Version_tag_Input" field on "Models_Info_Pane" wizard + Then click on "Apply_Button" element on "Models_Info_Pane" wizard + Then click on "Apply_Changes_Button" element on "Models_Info_Pane" wizard + And wait load page + Then verify "Info_Pane_Tab_Selector" on "Models_Info_Pane" wizard should contains "Models_Info_Pane"."Tab_List" + Then verify "Overview" tab is active in "Info_Pane_Tab_Selector" on "Models_Info_Pane" wizard + Then verify "Overview_General_Headers" on "Models_Info_Pane" wizard should contains "Models_Info_Pane"."Overview_General_Headers" + Then check "latest123456" value in "tag" column in "Overview_Table" table on "Models_Info_Pane" wizard + Then save to context "name" column on 3 row from "Models_Table" table on "Models" wizard + Then compare "Header" element value on "Models_Info_Pane" wizard with test "name" context value \ No newline at end of file diff --git a/tests/features/projectHomePage.feature b/tests/features/projectHomePage.feature index ff0b013bc..6a4dd3f35 100644 --- a/tests/features/projectHomePage.feature +++ b/tests/features/projectHomePage.feature @@ -522,6 +522,9 @@ Feature: MLRun Project Home Page Given open url And click on row root with value "default" in "name" column in "Projects_Table" table on "Projects" wizard And wait load page + And hover "Project_Navigation_Toggler" component on "commonPagesHeader" wizard + Then click on "Quick_actions_Button" element on "commonPagesHeader" wizard + And wait load page Then verify "Deployment_Actions_Table" element visibility on "Demo_Project" wizard Then verify values in "Deployment_Actions_Table" table on "Demo_Project" wizard | name | @@ -607,9 +610,31 @@ Feature: MLRun Project Home Page Then verify "Access_Key_Checkbox" element visibility on "Batch_Inference" wizard Then uncheck "Access_Key_Checkbox" element on "Batch_Inference" wizard Then verify "Access_Key_Input" element visibility on "Batch_Inference" wizard - Then type value " " to "Access_Key_Input" field on "Batch_Inference" wizard + Then type value " @" to "Access_Key_Input" field on "Batch_Inference" wizard Then verify "Access_Key_Input" on "Batch_Inference" wizard should display warning "Input_Hint"."Input_Field_Invalid" Then type value "" to "Access_Key_Input" field on "Batch_Inference" wizard Then verify "Access_Key_Input" on "Batch_Inference" wizard should display warning "Input_Hint"."Input_Field_Require" - - + + Scenario: MLPH023 - Check components - batch inference_v2, preview text, model path type store + Given open url + And click on row root with value "default" in "name" column in "Projects_Table" table on "Projects" wizard + And wait load page + And hover "Project_Navigation_Toggler" component on "commonPagesHeader" wizard + Then click on "Quick_actions_Button" element on "commonPagesHeader" wizard + And wait load page + Then verify "Deployment_Actions_Table" element visibility on "Demo_Project" wizard + Then verify values in "Deployment_Actions_Table" table on "Demo_Project" wizard + | name | + | Create real-time function | + | Batch inference | + When click on "name" in "Deployment_Actions_Table" table on "Demo_Project" wizard with offset "false" + | name | + | Batch inference | + And wait load page + Then "Function_Title" element on "Batch_Inference" should contains "batch-inference-v2" value + Then "Preview_text" element on "Batch_Inference" should contains "Tech Preview" value + And click on "Next_Button" element on "Batch_Inference" wizard + Then "Form_Header_Batch_Run" element on "Batch_Inference" should contains "Data Inputs" value + And hover "Edit_Button" component on "Batch_Inference" wizard + And click on "Edit_Button" element on "Batch_Inference" wizard + Then verify "Data_Inputs_Path_Dropdown" dropdown element on "Batch_Inference" wizard should contains "Batch_Inference"."Model_Path_Type_Store" diff --git a/tests/features/projectPage.feature b/tests/features/projectPage.feature index 8c049f01b..7b0a96a6a 100644 --- a/tests/features/projectPage.feature +++ b/tests/features/projectPage.feature @@ -24,10 +24,9 @@ Feature: MLRun Project Page Then verify "Real_Time_Functions_Card_Statistics" element visibility on "Project" wizard When hover "Project_Navigation_Toggler" component on "commonPagesHeader" wizard Then verify "General_Info_Quick_Links" element visibility on "commonPagesHeader" wizard - #TODO: Navigation_Bar previous implementation + @passive - @sanity - Scenario: Check all mandatory components on Navigation Bar + Scenario: MLNB001 - Check all mandatory components on Navigation Bar * set tear-down property "project" created with "automation-test-1000" value * create "automation-test-1000" MLRun Project with code 201 Given open url @@ -42,8 +41,8 @@ Feature: MLRun Project Page Then "Navigation_Bar" on "commonPagesHeader" wizard should be "pinned" Then verify "Pin_Quick_Link_Button" element visibility on "commonPagesHeader" wizard Then verify "General_Info_Quick_Panel" element visibility on "commonPagesHeader" wizard - Then verify "Project_Home_Button" element visibility on "commonPagesHeader" wizard - Then verify "Project_Monitoring_Button_Text" element visibility on "commonPagesHeader" wizard + Then verify "Project_Monitoring_Button" element visibility on "commonPagesHeader" wizard + Then verify "Quick_actions_Button" element visibility on "commonPagesHeader" wizard Then verify "Feature_Store_Button" element visibility on "commonPagesHeader" wizard Then verify "Datasets_Button" element visibility on "commonPagesHeader" wizard Then verify "Artifacts_Button" element visibility on "commonPagesHeader" wizard @@ -58,10 +57,10 @@ Feature: MLRun Project Page And hover "MLRun_Logo" component on "commonPagesHeader" wizard Then verify "Pin_Quick_Link_Button" element invisibility on "commonPagesHeader" wizard Then verify "General_Info_Quick_Panel" element visibility on "commonPagesHeader" wizard - Then verify "Project_Home_Button" element invisibility on "commonPagesHeader" wizard - Then verify "Project_Home_Icon" element visibility on "commonPagesHeader" wizard - Then verify "Project_Monitoring_Button_Text" element invisibility on "commonPagesHeader" wizard + Then verify "Project_Monitoring_Button" element invisibility on "commonPagesHeader" wizard Then verify "Project_Monitoring_Icon" element visibility on "commonPagesHeader" wizard + Then verify "Quick_actions_Button" element invisibility on "commonPagesHeader" wizard + Then verify "Quick_actions_Icon" element visibility on "commonPagesHeader" wizard Then verify "Feature_Store_Button" element invisibility on "commonPagesHeader" wizard Then verify "Feature_Store_Icon" element visibility on "commonPagesHeader" wizard Then verify "Datasets_Button" element invisibility on "commonPagesHeader" wizard @@ -112,6 +111,16 @@ Feature: MLRun Project Page And select "Secrets" tab in "Project_Settings_Tab_Selector" on "Project_Settings_General_Tab" wizard And wait load page Then "Navigation_Bar" on "commonPagesHeader" wizard should be "pinned" + #check navigation between pages Project monitoring and Quick-actions due to instance links + Then click on "Project_Monitoring_Button" element on "commonPagesHeader" wizard + Then click on "Project_Quick_Actions_Instance" element on "commonPagesHeader" wizard + Then verify "Quick_actions_Active" not input element on "commonPagesHeader" wizard is active + Then click on "Project_Monitoring_First_Instance" element on "commonPagesHeader" wizard + Then verify "Project_Monitoring_Active" not input element on "commonPagesHeader" wizard is active + Then click on "Project_Quick_Actions_Instance" element on "commonPagesHeader" wizard + Then verify "Quick_actions_Active" not input element on "commonPagesHeader" wizard is active + Then click on "Project_Monitoring_Second_Instance" element on "commonPagesHeader" wizard + Then verify "Project_Monitoring_Active" not input element on "commonPagesHeader" wizard is active @passive Scenario: Check MLRun logo redirection diff --git a/tests/features/step-definitions/steps.js b/tests/features/step-definitions/steps.js index 27d1f7809..b16f7ac03 100644 --- a/tests/features/step-definitions/steps.js +++ b/tests/features/step-definitions/steps.js @@ -264,6 +264,20 @@ Then( } ) +Then( + 'verify {string} not input element on {string} wizard is active', + async function (elementName, wizardName) { + await verifyElementActive(this.driver, pageObjects[wizardName][elementName]) + } +) + +Then( + 'verify {string} not input element on {string} wizard is NOT active', + async function (elementName, wizardName) { + await verifyElementNotActive(this.driver, pageObjects[wizardName][elementName]) + } +) + Then( 'verify {string} not input element in {string} on {string} wizard is active', async function (elementName, accordionName, wizardName) { diff --git a/tests/mockServer/data/hubItemInference.json b/tests/mockServer/data/hubItemInference.json index de50b08d3..4ece60779 100644 --- a/tests/mockServer/data/hubItemInference.json +++ b/tests/mockServer/data/hubItemInference.json @@ -1,51 +1,53 @@ { "kind": "HubItem", "metadata": { - "name": "batch-inference", + "name": "batch-inference-v2", "description": "Batch inference (also knows as prediction) for the common ML frameworks (SciKit-Learn, XGBoost and LightGBM) while performing data drift analysis.", "labels": { - "author": "guyl" + "author": "eyald" }, "updated": null, "created": null, "source": "functions", - "version": "1.4.0", + "version": "2.0.0", "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "batch_inference.ipynb", - "mlrunVersion": "1.2.0", + "mlrunVersion": "1.5.0", + "doc": "", "categories": [ - "utils" + "utils", + "data-analysis", + "monitoring" ], + "platformVersion": "3.5.3", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2023-08-07:12-25", + "example": "batch_inference_v2.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/batch_inference/latest/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/batch_inference_v2/latest/", "assets": { - "example": "src/batch_inference.ipynb", - "source": "src/batch_inference.py", + "example": "src/batch_inference_v2.ipynb", + "source": "src/batch_inference_v2.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "batch_inference.py", - "requirements": null, - "image": "mlrun/mlrun", - "handler": "infer", "kind": "job", + "filename": "batch_inference_v2.py", "extra_spec": { "allow_empty_resources": true, "build": { "auto_build": false, "with_mlrun": false } - } + }, + "handler": "infer", + "requirements": null, + "image": "mlrun/mlrun" }, "status": { "state": null diff --git a/tests/mockServer/data/itemsCatalog.json b/tests/mockServer/data/itemsCatalog.json index 26b474c6c..b1b96d3cc 100644 --- a/tests/mockServer/data/itemsCatalog.json +++ b/tests/mockServer/data/itemsCatalog.json @@ -15,21 +15,21 @@ "source": "functions", "version": "1.1.0", "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "tf2_serving.ipynb", "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "model-serving", "machine-learning" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "tf2_serving.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/tf2_serving/latest/", @@ -39,15 +39,15 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "tf2_serving.py", - "image": "mlrun/mlrun", - "handler": "handler", "requirements": [ "requests", "pillow", "tensorflow>=2.1" ], - "kind": "nuclio:serving" + "kind": "nuclio:serving", + "filename": "tf2_serving.py", + "handler": "handler", + "image": "mlrun/mlrun" }, "status": { "state": null @@ -64,40 +64,40 @@ "updated": null, "created": null, "source": "functions", - "version": "0.0.1", - "tag": "0.0.1", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "", - "example": "tf2_serving.ipynb", - "mlrunVersion": "", + "version": "0.9.1", + "tag": "0.9.1", + "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "model-serving", "machine-learning" ], - "generationDate": "2021-05-19:23-13", - "doc": "" + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-11-18:12-28", + "example": "tf2_serving.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/tf2_serving/0.0.1/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/tf2_serving/0.9.1/", "assets": { "example": "src/tf2_serving.ipynb", "source": "src/tf2_serving.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "tf2_serving.py", - "image": "mlrun/mlrun", - "handler": "handler", "requirements": [ "requests", "pillow", "tensorflow>=2.1" ], - "kind": "nuclio:serving" + "kind": "nuclio:serving", + "filename": "tf2_serving.py", + "handler": "handler", + "image": "mlrun/mlrun" }, "status": { "state": null @@ -114,40 +114,40 @@ "updated": null, "created": null, "source": "functions", - "version": "0.9.1", - "tag": "0.9.1", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "tf2_serving.ipynb", + "version": "0.8.0", + "tag": "0.8.0", "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "model-serving", "machine-learning" ], + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", "generationDate": "2021-11-18:12-28", - "doc": "" + "example": "tf2_serving.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/tf2_serving/0.9.1/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/tf2_serving/0.8.0/", "assets": { "example": "src/tf2_serving.ipynb", "source": "src/tf2_serving.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "tf2_serving.py", - "image": "mlrun/mlrun", - "handler": "handler", "requirements": [ "requests", "pillow", "tensorflow>=2.1" ], - "kind": "nuclio:serving" + "kind": "nuclio:serving", + "filename": "tf2_serving.py", + "handler": "handler", + "image": "mlrun/mlrun" }, "status": { "state": null @@ -164,40 +164,41 @@ "updated": null, "created": null, "source": "functions", - "version": "0.9.0", - "tag": "0.9.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "tf2_serving.ipynb", - "mlrunVersion": "0.8.0", + "version": "1.1.0", + "tag": "1.1.0", + "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "model-serving", "machine-learning" ], - "generationDate": "2021-11-18:12-28", - "doc": "" + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2022-08-28:17-25", + "example": "tf2_serving.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/tf2_serving/0.9.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/tf2_serving/1.1.0/", "assets": { "example": "src/tf2_serving.ipynb", "source": "src/tf2_serving.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "tf2_serving.py", - "image": "mlrun/mlrun", - "handler": "handler", "requirements": [ "requests", "pillow", "tensorflow>=2.1" ], - "kind": "nuclio:serving" + "kind": "nuclio:serving", + "filename": "tf2_serving.py", + "handler": "handler", + "image": "mlrun/mlrun" }, "status": { "state": null @@ -214,40 +215,40 @@ "updated": null, "created": null, "source": "functions", - "version": "0.8.0", - "tag": "0.8.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "tf2_serving.ipynb", - "mlrunVersion": "0.8.0", + "version": "0.0.1", + "tag": "0.0.1", + "mlrunVersion": "", + "doc": "", "categories": [ "model-serving", "machine-learning" ], - "generationDate": "2021-11-18:12-28", - "doc": "" + "platformVersion": "", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-05-19:23-13", + "example": "tf2_serving.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/tf2_serving/0.8.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/tf2_serving/0.0.1/", "assets": { "example": "src/tf2_serving.ipynb", "source": "src/tf2_serving.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "tf2_serving.py", - "image": "mlrun/mlrun", - "handler": "handler", "requirements": [ "requests", "pillow", "tensorflow>=2.1" ], - "kind": "nuclio:serving" + "kind": "nuclio:serving", + "filename": "tf2_serving.py", + "handler": "handler", + "image": "mlrun/mlrun" }, "status": { "state": null @@ -264,41 +265,40 @@ "updated": null, "created": null, "source": "functions", - "version": "1.1.0", - "tag": "1.1.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "tf2_serving.ipynb", - "mlrunVersion": "1.1.0", + "version": "0.9.0", + "tag": "0.9.0", + "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "model-serving", "machine-learning" ], - "hidden": false, - "doc": "" + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-11-18:12-28", + "example": "tf2_serving.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/tf2_serving/1.1.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/tf2_serving/0.9.0/", "assets": { "example": "src/tf2_serving.ipynb", "source": "src/tf2_serving.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "tf2_serving.py", - "image": "mlrun/mlrun", - "handler": "handler", "requirements": [ "requests", "pillow", "tensorflow>=2.1" ], - "kind": "nuclio:serving" + "kind": "nuclio:serving", + "filename": "tf2_serving.py", + "handler": "handler", + "image": "mlrun/mlrun" }, "status": { "state": null @@ -317,21 +317,21 @@ "source": "functions", "version": "1.1.0", "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "load_dask.ipynb", "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "data-preparation", "etl" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "load_dask.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/load_dask/latest/", @@ -341,11 +341,11 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "dask", "filename": "load_dask.py", - "image": "mlrun/ml-models", "handler": "load_dask", - "requirements": [], - "kind": "dask" + "image": "mlrun/ml-models" }, "status": { "state": null @@ -362,36 +362,36 @@ "updated": null, "created": null, "source": "functions", - "version": "0.0.1", - "tag": "0.0.1", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "", - "example": "load_dask.ipynb", - "mlrunVersion": "", + "version": "0.8.0", + "tag": "0.8.0", + "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "data-preparation", "etl" ], - "generationDate": "2021-05-19:23-13", - "doc": "" + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-11-18:12-28", + "example": "load_dask.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/load_dask/0.0.1/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/load_dask/0.8.0/", "assets": { "example": "src/load_dask.ipynb", "source": "src/load_dask.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "dask", "filename": "load_dask.py", - "image": "mlrun/ml-models", "handler": "load_dask", - "requirements": [], - "kind": "dask" + "image": "mlrun/ml-models" }, "status": { "state": null @@ -408,36 +408,37 @@ "updated": null, "created": null, "source": "functions", - "version": "0.9.0", - "tag": "0.9.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "load_dask.ipynb", - "mlrunVersion": "0.8.0", + "version": "1.1.0", + "tag": "1.1.0", + "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "data-preparation", "etl" ], - "generationDate": "2021-11-18:12-28", - "doc": "" + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2022-08-28:17-25", + "example": "load_dask.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/load_dask/0.9.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/load_dask/1.1.0/", "assets": { "example": "src/load_dask.ipynb", "source": "src/load_dask.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "dask", "filename": "load_dask.py", - "image": "mlrun/ml-models", "handler": "load_dask", - "requirements": [], - "kind": "dask" + "image": "mlrun/ml-models" }, "status": { "state": null @@ -454,36 +455,36 @@ "updated": null, "created": null, "source": "functions", - "version": "0.8.0", - "tag": "0.8.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "load_dask.ipynb", - "mlrunVersion": "0.8.0", + "version": "0.0.1", + "tag": "0.0.1", + "mlrunVersion": "", + "doc": "", "categories": [ "data-preparation", "etl" ], - "generationDate": "2021-11-18:12-28", - "doc": "" + "platformVersion": "", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-05-19:23-13", + "example": "load_dask.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/load_dask/0.8.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/load_dask/0.0.1/", "assets": { "example": "src/load_dask.ipynb", "source": "src/load_dask.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "dask", "filename": "load_dask.py", - "image": "mlrun/ml-models", "handler": "load_dask", - "requirements": [], - "kind": "dask" + "image": "mlrun/ml-models" }, "status": { "state": null @@ -500,37 +501,36 @@ "updated": null, "created": null, "source": "functions", - "version": "1.1.0", - "tag": "1.1.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "load_dask.ipynb", - "mlrunVersion": "1.1.0", + "version": "0.9.0", + "tag": "0.9.0", + "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "data-preparation", "etl" ], - "hidden": false, - "doc": "" + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-11-18:12-28", + "example": "load_dask.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/load_dask/1.1.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/load_dask/0.9.0/", "assets": { "example": "src/load_dask.ipynb", "source": "src/load_dask.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "dask", "filename": "load_dask.py", - "image": "mlrun/ml-models", "handler": "load_dask", - "requirements": [], - "kind": "dask" + "image": "mlrun/ml-models" }, "status": { "state": null @@ -547,23 +547,23 @@ "updated": null, "created": null, "source": "functions", - "version": "1.1.0", + "version": "1.1.2", "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "xgb_serving.ipynb", - "mlrunVersion": "1.1.0", + "mlrunVersion": "1.4.1", + "doc": "", "categories": [ "model-serving", "machine-learning" ], + "platformVersion": "3.5.3", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "xgb_serving.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/xgb_serving/latest/", @@ -573,11 +573,14 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, + "kind": "serving", "filename": "xgb_serving.py", - "image": "mlrun/ml-models", + "customFields": { + "default_class": "ClassifierModel" + }, "handler": "handler", "requirements": [], - "kind": "remote" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -594,36 +597,36 @@ "updated": null, "created": null, "source": "functions", - "version": "0.0.1", - "tag": "0.0.1", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.0.0", - "example": "xgb_serving.ipynb", - "mlrunVersion": "0.6.2", + "version": "0.8.0", + "tag": "0.8.0", + "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "model-serving", "machine-learning" ], - "generationDate": "2021-05-19:23-13", - "doc": "" + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-11-18:12-28", + "example": "xgb_serving.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/xgb_serving/0.0.1/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/xgb_serving/0.8.0/", "assets": { "example": "src/xgb_serving.ipynb", "source": "src/xgb_serving.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "remote", "filename": "xgb_serving.py", - "image": "mlrun/ml-models", "handler": "handler", - "requirements": [], - "kind": "remote" + "image": "mlrun/ml-models" }, "status": { "state": null @@ -640,36 +643,37 @@ "updated": null, "created": null, "source": "functions", - "version": "0.9.0", - "tag": "0.9.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "xgb_serving.ipynb", - "mlrunVersion": "0.8.0", + "version": "1.1.0", + "tag": "1.1.0", + "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "model-serving", "machine-learning" ], - "generationDate": "2021-11-18:12-28", - "doc": "" + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2022-08-28:17-25", + "example": "xgb_serving.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/xgb_serving/0.9.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/xgb_serving/1.1.0/", "assets": { "example": "src/xgb_serving.ipynb", "source": "src/xgb_serving.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "remote", "filename": "xgb_serving.py", - "image": "mlrun/ml-models", "handler": "handler", - "requirements": [], - "kind": "remote" + "image": "mlrun/ml-models" }, "status": { "state": null @@ -686,36 +690,36 @@ "updated": null, "created": null, "source": "functions", - "version": "1.0.0", - "tag": "1.0.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "xgb_serving.ipynb", - "mlrunVersion": "0.8.0", + "version": "0.0.1", + "tag": "0.0.1", + "mlrunVersion": "0.6.2", + "doc": "", "categories": [ "model-serving", "machine-learning" ], - "generationDate": "2021-11-18:12-28", - "doc": "" + "platformVersion": "3.0.0", + "icon": "", + 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"generationDate": "2022-08-28:17-25", - "example": "feature_selection.ipynb", "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "data-preparation", "machine-learning" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "feature_selection.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/feature_selection/latest/", @@ -1123,11 +1176,11 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "feature_selection.py", - "image": "mlrun/ml-models", "handler": "feature_selection", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -1144,36 +1197,37 @@ "updated": null, "created": null, "source": "functions", - "version": "0.0.1", - "tag": "0.0.1", - "maintainers": [], - "icon": "", - 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"mlrun/ml-models", - "handler": "feature_selection/feature_selection", "requirements": [], - "kind": "job" + "kind": "job", + "filename": "feature_selection.py", + "handler": "feature_selection", + "image": "mlrun/ml-models" }, "status": { "state": null @@ -1192,20 +1246,20 @@ "source": "functions", "version": "0.9.1", "tag": "0.9.1", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "feature_selection.ipynb", "mlrunVersion": "0.9.0", + "doc": "", "categories": [ "data-preparation", "machine-learning" ], + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", "generationDate": "2021-11-18:12-28", - "doc": "" + "example": "feature_selection.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/feature_selection/0.9.1/", @@ -1215,11 +1269,11 @@ "function": "src/function.yaml", "docs": 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"feature_selection.py", - "image": "mlrun/ml-models", "handler": "feature_selection", - "requirements": [], - "kind": "job" + "image": "mlrun/ml-models" }, "status": { "state": null @@ -1376,36 +1429,36 @@ "updated": null, "created": null, "source": "functions", - "version": "0.8.0", - "tag": "0.8.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "feature_selection.ipynb", - "mlrunVersion": "0.8.0", + "version": "0.0.1", + "tag": "0.0.1", + "mlrunVersion": "0.5.4", + "doc": "", "categories": [ "data-preparation", "machine-learning" ], - "generationDate": "2021-11-18:12-28", - "doc": "" + "platformVersion": "2.10.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-05-19:22-41", + "example": "feature_selection.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/feature_selection/0.8.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/feature_selection/0.0.1/", "assets": { "example": "src/feature_selection.ipynb", "source": "src/feature_selection.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "feature_selection.py", - "image": "mlrun/ml-models", "handler": "feature_selection/feature_selection", - "requirements": [], - "kind": "job" + "image": "mlrun/ml-models" }, "status": { "state": null @@ -1422,36 +1475,37 @@ "updated": null, "created": null, "source": "functions", - "version": "1.1.0", - "tag": "1.1.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "example": "feature_selection.ipynb", + "version": "1.3.0", + "tag": "1.3.0", "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "data-preparation", "machine-learning" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", + "hidden": false, "generationDate": "2022-08-28:17-25", - "doc": "" + "example": "feature_selection.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/feature_selection/1.1.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/feature_selection/1.3.0/", "assets": { "example": "src/feature_selection.ipynb", "source": "src/feature_selection.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "feature_selection.py", - "image": "mlrun/ml-models", "handler": "feature_selection", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -1460,7 +1514,53 @@ { "kind": "HubItem", "metadata": { - "name": "slack-notify", + "name": "feature-selection", + "description": "Select features through multiple Statistical and Model filters", + "labels": { + "author": "orz" + }, + "updated": null, + "created": null, + "source": "functions", + "version": "0.9.0", + "tag": "0.9.0", + "mlrunVersion": "0.9.0", + "doc": "", + "categories": [ + "data-preparation", + "machine-learning" + ], + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-11-18:12-28", + "example": "feature_selection.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" + }, + "spec": { + "item_uri": "https://mlrun.github.io/marketplace/functions/master/feature_selection/0.9.0/", + "assets": { + "example": "src/feature_selection.ipynb", + "source": "src/feature_selection.py", + "function": "src/function.yaml", + "docs": "static/documentation.html" + }, + "requirements": [], + "kind": "job", + "filename": "feature_selection.py", + "handler": "feature_selection/feature_selection", + "image": "mlrun/ml-models" + }, + "status": { + "state": null + } + }, + { + "kind": "HubItem", + "metadata": { + "name": "slack-notify", "description": "Send Slack notification", "labels": { "author": "mdl" @@ -1470,20 +1570,20 @@ "source": "functions", "version": "1.1.0", "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "slack_notify.ipynb", "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "utils" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "slack_notify.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/slack_notify/latest/", @@ -1493,13 +1593,13 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "slack_notify.py", - "image": "python:3.6-jessie", - "handler": "slack_notify", "requirements": [ "requests" ], - "kind": "job" + "kind": "job", + "filename": "slack_notify.py", + "handler": "slack_notify", + "image": "python:3.6-jessie" }, "status": { "state": null @@ -1516,37 +1616,37 @@ "updated": null, "created": null, "source": "functions", - "version": "0.0.1", - "tag": "0.0.1", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "", - "example": "slack_notify.ipynb", - "mlrunVersion": "", + "version": "0.8.0", + "tag": "0.8.0", + "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "utils" ], - "generationDate": "2021-05-19:23-13", - "doc": "" + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-11-18:12-28", + "example": "slack_notify.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/slack_notify/0.0.1/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/slack_notify/0.8.0/", "assets": { "example": "src/slack_notify.ipynb", "source": "src/slack_notify.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "slack_notify.py", - "image": "python:3.6-jessie", - "handler": "slack_notify", "requirements": [ "requests" ], - "kind": "job" + "kind": "job", + "filename": "slack_notify.py", + "handler": "slack_notify", + "image": "python:3.6-jessie" }, "status": { "state": null @@ -1563,37 +1663,38 @@ "updated": null, "created": null, "source": "functions", - "version": "0.9.0", - "tag": "0.9.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "slack_notify.ipynb", - "mlrunVersion": "0.8.0", + "version": "1.1.0", + "tag": "1.1.0", + "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "utils" ], - "generationDate": "2021-11-18:12-28", - "doc": "" + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2022-08-28:17-25", + "example": "slack_notify.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/slack_notify/0.9.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/slack_notify/1.1.0/", "assets": { "example": "src/slack_notify.ipynb", "source": "src/slack_notify.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "slack_notify.py", - "image": "python:3.6-jessie", - "handler": "slack_notify", "requirements": [ "requests" ], - "kind": "job" + "kind": "job", + "filename": "slack_notify.py", + "handler": "slack_notify", + "image": "python:3.6-jessie" }, "status": { "state": null @@ -1610,37 +1711,37 @@ "updated": null, "created": null, "source": "functions", - "version": "0.8.0", - "tag": "0.8.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "slack_notify.ipynb", - "mlrunVersion": "0.8.0", + "version": "0.0.1", + "tag": "0.0.1", + "mlrunVersion": "", + "doc": "", "categories": [ "utils" ], - "generationDate": "2021-11-18:12-28", - "doc": "" + "platformVersion": "", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-05-19:23-13", + "example": "slack_notify.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/slack_notify/0.8.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/slack_notify/0.0.1/", "assets": { "example": "src/slack_notify.ipynb", "source": "src/slack_notify.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "slack_notify.py", - "image": "python:3.6-jessie", - "handler": "slack_notify", "requirements": [ "requests" ], - "kind": "job" + "kind": "job", + "filename": "slack_notify.py", + "handler": "slack_notify", + "image": "python:3.6-jessie" }, "status": { "state": null @@ -1657,38 +1758,37 @@ "updated": null, "created": null, "source": "functions", - "version": "1.1.0", - "tag": "1.1.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "slack_notify.ipynb", - "mlrunVersion": "1.1.0", + "version": "0.9.0", + "tag": "0.9.0", + "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "utils" ], - "hidden": false, - "doc": "" + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-11-18:12-28", + "example": "slack_notify.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/slack_notify/1.1.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/slack_notify/0.9.0/", "assets": { "example": "src/slack_notify.ipynb", "source": "src/slack_notify.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "slack_notify.py", - "image": "python:3.6-jessie", - "handler": "slack_notify", "requirements": [ "requests" ], - "kind": "job" + "kind": "job", + "filename": "slack_notify.py", + "handler": "slack_notify", + "image": "python:3.6-jessie" }, "status": { "state": null @@ -1708,21 +1808,21 @@ "source": "functions", "version": "1.1.0", "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "model_server.ipynb", "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "model-serving", "machine-learning" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "model_server.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/model_server/latest/", @@ -1732,11 +1832,11 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "nuclio:serving", "filename": "model_server.py", - "image": "mlrun/mlrun", "handler": "handler", - "requirements": [], - "kind": "nuclio:serving" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -1754,36 +1854,36 @@ "updated": null, "created": null, "source": "functions", - "version": "0.0.1", - "tag": "0.0.1", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "", - "example": "model_server.ipynb", - "mlrunVersion": "", + "version": "0.8.0", + "tag": "0.8.0", + "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "model-serving", "machine-learning" ], - "generationDate": "2021-05-19:23-13", - "doc": "" + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-11-18:12-28", + "example": "model_server.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/model_server/0.0.1/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/model_server/0.8.0/", "assets": { "example": "src/model_server.ipynb", "source": "src/model_server.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "nuclio:serving", "filename": "model_server.py", - "image": "mlrun/mlrun", "handler": "handler", - "requirements": [], - "kind": "serving" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -1801,36 +1901,37 @@ "updated": null, "created": null, "source": "functions", - "version": "0.9.0", - "tag": "0.9.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "model_server.ipynb", - "mlrunVersion": "0.8.0", + "version": "1.1.0", + "tag": "1.1.0", + "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "model-serving", "machine-learning" ], - "generationDate": "2021-11-18:12-28", - "doc": "" + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2022-08-28:17-25", + "example": "model_server.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/model_server/0.9.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/model_server/1.1.0/", "assets": { "example": "src/model_server.ipynb", "source": "src/model_server.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "nuclio:serving", "filename": "model_server.py", - "image": "mlrun/mlrun", "handler": "handler", - "requirements": [], - "kind": "nuclio:serving" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -1848,36 +1949,36 @@ "updated": null, "created": null, "source": "functions", - "version": "1.0.0", - "tag": "1.0.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "model_server.ipynb", - "mlrunVersion": "0.8.0", + "version": "0.0.1", + "tag": "0.0.1", + "mlrunVersion": "", + "doc": "", "categories": [ "model-serving", "machine-learning" ], - "generationDate": "2021-11-18:12-28", - "doc": "" - }, - "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/model_server/1.0.0/", - "assets": { - "example": "src/model_server.ipynb", + "platformVersion": "", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-05-19:23-13", + "example": "model_server.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" + }, + "spec": { + "item_uri": "https://mlrun.github.io/marketplace/functions/master/model_server/0.0.1/", + "assets": { + "example": "src/model_server.ipynb", "source": "src/model_server.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "serving", "filename": "model_server.py", - "image": "mlrun/mlrun", "handler": "handler", - "requirements": [], - "kind": "nuclio:serving" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -1895,36 +1996,36 @@ "updated": null, "created": null, "source": "functions", - "version": "0.8.0", - "tag": "0.8.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "model_server.ipynb", + "version": "1.0.0", + "tag": "1.0.0", "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "model-serving", "machine-learning" ], + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", "generationDate": "2021-11-18:12-28", - "doc": "" + "example": "model_server.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/model_server/0.8.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/model_server/1.0.0/", "assets": { "example": "src/model_server.ipynb", "source": "src/model_server.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "nuclio:serving", "filename": "model_server.py", - "image": "mlrun/mlrun", "handler": "handler", - "requirements": [], - "kind": "nuclio:serving" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -1942,37 +2043,36 @@ "updated": null, "created": null, "source": "functions", - "version": "1.1.0", - "tag": "1.1.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "model_server.ipynb", - "mlrunVersion": "1.1.0", + "version": "0.9.0", + "tag": "0.9.0", + "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "model-serving", "machine-learning" ], - "hidden": false, - "doc": "" + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-11-18:12-28", + "example": "model_server.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/model_server/1.1.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/model_server/0.9.0/", "assets": { "example": "src/model_server.ipynb", "source": "src/model_server.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "nuclio:serving", "filename": "model_server.py", - "image": "mlrun/mlrun", "handler": "handler", - "requirements": [], - "kind": "nuclio:serving" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -1991,22 +2091,22 @@ "source": "functions", "version": "1.1.0", "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "ingest.ipynb", "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "data-preparation", "data-analysis", "feature-store" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "ingest.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/ingest/latest/", @@ -2016,11 +2116,11 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "ingest.py", - "image": "mlrun/mlrun", "handler": "ingest", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -2037,37 +2137,38 @@ "updated": null, "created": null, "source": "functions", - "version": "0.9.0", - "tag": "0.9.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "", - "example": "ingest.ipynb", - "mlrunVersion": "", + "version": "1.1.0", + "tag": "1.1.0", + "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "data-preparation", "data-analysis", "feature-store" ], - "generationDate": "2021-11-13:00-15", - "doc": "" + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2022-08-28:17-25", + "example": "ingest.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/ingest/0.9.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/ingest/1.1.0/", "assets": { "example": "src/ingest.ipynb", "source": "src/ingest.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "ingest.py", - "image": "mlrun/mlrun", "handler": "ingest", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -2084,38 +2185,37 @@ "updated": null, "created": null, "source": "functions", - "version": "1.1.0", - "tag": "1.1.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "ingest.ipynb", - "mlrunVersion": "1.1.0", + "version": "0.9.0", + "tag": "0.9.0", + "mlrunVersion": "", + "doc": "", "categories": [ "data-preparation", "data-analysis", "feature-store" ], - "hidden": false, - "doc": "" + "platformVersion": "", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-11-13:00-15", + "example": "ingest.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/ingest/1.1.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/ingest/0.9.0/", "assets": { "example": "src/ingest.ipynb", "source": "src/ingest.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "ingest.py", - "image": "mlrun/mlrun", "handler": "ingest", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -2132,22 +2232,22 @@ "updated": null, "created": null, "source": "functions", - "version": "1.1.0", + "version": "1.2.0", "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "describe.ipynb", - "mlrunVersion": "1.2.0", + "mlrunVersion": "1.4.1", + "doc": "", "categories": [ "data-analysis" ], + "platformVersion": "3.5.3", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "describe.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/describe/latest/", @@ -2157,11 +2257,11 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "describe.py", - "image": "mlrun/mlrun", "handler": "analyze", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -2173,40 +2273,40 @@ "name": "describe", "description": "describe and visualizes dataset stats", "labels": { - "author": "Iguazio" + "author": "Davids" }, "updated": null, "created": null, "source": "functions", - "version": "0.0.1", - "tag": "0.0.1", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "2.10.0", - "example": "describe.ipynb", - "mlrunVersion": "0.5.4", + "version": "0.9.1", + "tag": "0.9.1", + "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "data-analysis" ], - "generationDate": "2021-05-19:22-41", - "doc": "" + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2022-04-07:14-20", + "example": "describe.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/describe/0.0.1/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/describe/0.9.1/", "assets": { "example": "src/describe.ipynb", "source": "src/describe.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "describe.py", - "image": "mlrun/mlrun", - "handler": "summarize", "requirements": [], - "kind": "job" + "kind": "job", + "filename": "describe.py", + "handler": "analyze", + "image": "mlrun/mlrun" }, "status": { "state": null @@ -2223,35 +2323,36 @@ "updated": null, "created": null, "source": "functions", - "version": "0.9.1", - "tag": "0.9.1", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "describe.ipynb", - "mlrunVersion": "0.8.0", + "version": "1.2.0", + "tag": "1.2.0", + "mlrunVersion": "1.4.1", + "doc": "", "categories": [ "data-analysis" ], - "generationDate": "2022-04-07:14-20", - "doc": "" + "platformVersion": "3.5.3", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2022-08-28:17-25", + "example": "describe.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/describe/0.9.1/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/describe/1.2.0/", "assets": { "example": "src/describe.ipynb", "source": "src/describe.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "describe.py", - "image": "mlrun/mlrun", "handler": "analyze", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -2268,35 +2369,35 @@ "updated": null, "created": null, "source": "functions", - "version": "0.9.0", - "tag": "0.9.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "describe.ipynb", + "version": "0.8.0", + "tag": "0.8.0", "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "data-analysis" ], + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", "generationDate": "2021-11-18:12-28", - "doc": "" + "example": "describe.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/describe/0.9.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/describe/0.8.0/", "assets": { "example": "src/describe.ipynb", "source": "src/describe.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "describe.py", - "image": "mlrun/mlrun", "handler": "summarize", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -2313,35 +2414,36 @@ "updated": null, "created": null, "source": "functions", - "version": "0.9.2", - "tag": "0.9.2", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "describe.ipynb", - "mlrunVersion": "0.8.0", + "version": "1.1.0", + "tag": "1.1.0", + "mlrunVersion": "1.2.0", + "doc": "", "categories": [ "data-analysis" ], - "generationDate": "2022-04-26:10-20", - "doc": "" + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2022-08-28:17-25", + "example": "describe.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/describe/0.9.2/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/describe/1.1.0/", "assets": { "example": "src/describe.ipynb", "source": "src/describe.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "describe.py", - "image": "mlrun/mlrun", "handler": "analyze", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -2358,35 +2460,35 @@ "updated": null, "created": null, "source": "functions", - "version": "0.8.0", - "tag": "0.8.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "describe.ipynb", - "mlrunVersion": "0.8.0", + "version": "0.0.1", + "tag": "0.0.1", + "mlrunVersion": "0.5.4", + "doc": "", "categories": [ "data-analysis" ], - "generationDate": "2021-11-18:12-28", - "doc": "" + "platformVersion": "2.10.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-05-19:22-41", + "example": "describe.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/describe/0.8.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/describe/0.0.1/", "assets": { "example": "src/describe.ipynb", "source": "src/describe.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "describe.py", - "image": "mlrun/mlrun", "handler": "summarize", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -2403,36 +2505,80 @@ "updated": null, "created": null, "source": "functions", - "version": "1.1.0", - "tag": "1.1.0", - "maintainers": [], + "version": "0.9.2", + "tag": "0.9.2", + "mlrunVersion": "0.8.0", + "doc": "", + "categories": [ + "data-analysis" + ], + "platformVersion": "3.2.0", "icon": "", - "url": "", - "apiVersion": "v1", "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", + "generationDate": "2022-04-26:10-20", "example": "describe.ipynb", - "mlrunVersion": "1.2.0", + "url": "", + "maintainers": [], + "apiVersion": "v1" + }, + "spec": { + "item_uri": "https://mlrun.github.io/marketplace/functions/master/describe/0.9.2/", + "assets": { + "example": "src/describe.ipynb", + "source": "src/describe.py", + "function": "src/function.yaml", + "docs": "static/documentation.html" + }, + "requirements": [], + "kind": "job", + "filename": "describe.py", + "handler": "analyze", + "image": "mlrun/mlrun" + }, + "status": { + "state": null + } + }, + { + "kind": "HubItem", + "metadata": { + "name": "describe", + "description": "describe and visualizes dataset stats", + "labels": { + "author": "Iguazio" + }, + "updated": null, + "created": null, + "source": "functions", + "version": "0.9.0", + "tag": "0.9.0", + "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "data-analysis" ], - "hidden": false, - "doc": "" + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-11-18:12-28", + "example": "describe.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/describe/1.1.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/describe/0.9.0/", "assets": { "example": "src/describe.ipynb", "source": "src/describe.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "describe.py", - "image": "mlrun/mlrun", - "handler": "analyze", "requirements": [], - "kind": "job" + "kind": "job", + "filename": "describe.py", + "handler": "summarize", + "image": "mlrun/mlrun" }, "status": { "state": null @@ -2451,20 +2597,20 @@ "source": "functions", "version": "1.1.0", "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "github_utils.ipynb", "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "utils" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "github_utils.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/github_utils/latest/", @@ -2474,11 +2620,11 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "github_utils.py", - "image": "mlrun/mlrun", "handler": "run_summary_comment", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -2495,35 +2641,35 @@ "updated": null, "created": null, "source": "functions", - "version": "0.0.1", - "tag": "0.0.1", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "", - "example": "github_utils.ipynb", - "mlrunVersion": "", + "version": "0.8.0", + "tag": "0.8.0", + "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "utils" ], - "generationDate": "2021-05-19:22-41", - "doc": "" + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-11-18:12-28", + "example": "github_utils.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/github_utils/0.0.1/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/github_utils/0.8.0/", "assets": { "example": "src/github_utils.ipynb", "source": "src/github_utils.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "github_utils.py", - "image": "mlrun/mlrun", "handler": "run_summary_comment", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -2540,35 +2686,36 @@ "updated": null, "created": null, "source": "functions", - "version": "0.9.0", - "tag": "0.9.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "github_utils.ipynb", - "mlrunVersion": "0.8.0", + "version": "1.1.0", + "tag": "1.1.0", + "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "utils" ], - "generationDate": "2021-11-18:12-28", - "doc": "" + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2022-08-28:17-25", + "example": "github_utils.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/github_utils/0.9.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/github_utils/1.1.0/", "assets": { "example": "src/github_utils.ipynb", "source": "src/github_utils.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "github_utils.py", - "image": "mlrun/mlrun", "handler": "run_summary_comment", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -2585,35 +2732,35 @@ "updated": null, "created": null, "source": "functions", - "version": "0.8.0", - "tag": "0.8.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "github_utils.ipynb", - "mlrunVersion": "0.8.0", + "version": "0.0.1", + "tag": "0.0.1", + "mlrunVersion": "", + "doc": "", "categories": [ "utils" ], - "generationDate": "2021-11-18:12-28", - "doc": "" + "platformVersion": "", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-05-19:22-41", + "example": "github_utils.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/github_utils/0.8.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/github_utils/0.0.1/", "assets": { "example": "src/github_utils.ipynb", "source": "src/github_utils.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "github_utils.py", - "image": "mlrun/mlrun", "handler": "run_summary_comment", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -2630,36 +2777,35 @@ "updated": null, "created": null, "source": "functions", - "version": "1.1.0", - "tag": "1.1.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "github_utils.ipynb", - "mlrunVersion": "1.1.0", + "version": "0.9.0", + "tag": "0.9.0", + "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "utils" ], - "hidden": false, - "doc": "" + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-11-18:12-28", + "example": "github_utils.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/github_utils/1.1.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/github_utils/0.9.0/", "assets": { "example": "src/github_utils.ipynb", "source": "src/github_utils.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "github_utils.py", - "image": "mlrun/mlrun", "handler": "run_summary_comment", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -2676,22 +2822,22 @@ "updated": null, "created": null, "source": "functions", - "version": "1.2.0", + "version": "1.3.0", "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.2", - "generationDate": "2022-08-28:17-25", - "example": "aggregate.ipynb", - "mlrunVersion": "1.1.0", + "mlrunVersion": "1.4.1", + "doc": "", "categories": [ "data-preparation" ], + "platformVersion": "3.5.4", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "aggregate.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/aggregate/latest/", @@ -2701,11 +2847,11 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "aggregate.py", - "image": "mlrun/mlrun", "handler": "aggregate", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -2722,35 +2868,36 @@ "updated": null, "created": null, "source": "functions", - "version": "0.0.1", - "tag": "0.0.1", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.0.0", - "example": "aggregate.ipynb", - "mlrunVersion": "0.6.2", + "version": "1.2.0", + "tag": "1.2.0", + "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "data-preparation" ], - "generationDate": "2021-05-19:22-31", - "doc": "" + "platformVersion": "3.5.2", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2022-08-28:17-25", + "example": "aggregate.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/aggregate/0.0.1/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/aggregate/1.2.0/", "assets": { "example": "src/aggregate.ipynb", "source": "src/aggregate.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "aggregate.py", - "image": "mlrun/mlrun", "handler": "aggregate", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -2767,35 +2914,35 @@ "updated": null, "created": null, "source": "functions", - "version": "0.9.0", - "tag": "0.9.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "aggregate.ipynb", + "version": "0.8.0", + "tag": "0.8.0", "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "data-preparation" ], - "generationDate": "2021-11-18:12-28", - "doc": "" + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-11-18:12-28", + "example": "aggregate.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/aggregate/0.9.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/aggregate/0.8.0/", "assets": { "example": "src/aggregate.ipynb", "source": "src/aggregate.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "aggregate.py", - "image": "mlrun/mlrun", "handler": "aggregate", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -2812,36 +2959,35 @@ "updated": null, "created": null, "source": "functions", - "version": "1.2.0", - "tag": "1.2.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.2", - "generationDate": "2022-08-28:17-25", - "example": "aggregate.ipynb", + "version": "1.1.0", + "tag": "1.1.0", "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "data-preparation" ], - "hidden": false, - "doc": "" + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2022-08-28:17-25", + "example": "aggregate.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/aggregate/1.2.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/aggregate/1.1.0/", "assets": { "example": "src/aggregate.ipynb", "source": "src/aggregate.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "aggregate.py", - "image": "mlrun/mlrun", "handler": "aggregate", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -2858,35 +3004,35 @@ "updated": null, "created": null, "source": "functions", - "version": "0.8.0", - "tag": "0.8.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "aggregate.ipynb", - "mlrunVersion": "0.8.0", + "version": "0.0.1", + "tag": "0.0.1", + "mlrunVersion": "0.6.2", + "doc": "", "categories": [ "data-preparation" ], - "generationDate": 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"kind": "HubItem", "metadata": { - "name": "bert-embeddings", - "description": "Get BERT based embeddings for given text", + "name": "aggregate", + "description": "Rolling aggregation over Metrics and Lables according to specifications", "labels": { - "framework": "pytorch" + "author": "avia" }, "updated": null, "created": null, "source": "functions", - "version": "1.1.1", - "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "bert_embeddings.ipynb", - "mlrunVersion": "1.1.0", + "version": "0.9.0", + "tag": "0.9.0", + "mlrunVersion": "0.8.0", + "doc": "", "categories": [ - "machine-learning", "data-preparation" ], - "hidden": false, - "doc": "" + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-11-18:12-28", + "example": "aggregate.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/bert_embeddings/latest/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/aggregate/0.9.0/", "assets": { - "example": "src/bert_embeddings.ipynb", - "source": "src/bert_embeddings.py", + "example": "src/aggregate.ipynb", + "source": "src/aggregate.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "bert_embeddings.py", - "image": "mlrun/ml-models", - "handler": "handler", - "requirements": [ - "torch==1.6.0" - ], - "kind": "nuclio" + "requirements": [], + "kind": "job", + "filename": "aggregate.py", + "handler": "aggregate", + "image": "mlrun/mlrun" }, "status": { "state": null @@ -2997,38 +3140,39 @@ "updated": null, "created": null, "source": "functions", - "version": "0.0.1", - "tag": "0.0.1", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "2.10.0", - "example": 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+ "filename": "bert_embeddings.py", + "handler": "handler", + "image": "mlrun/mlrun" }, "status": { "state": null @@ -3047,21 +3191,21 @@ "source": "functions", "version": "1.1.1", "tag": "1.1.1", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "bert_embeddings.ipynb", "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "machine-learning", "data-preparation" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "bert_embeddings.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/bert_embeddings/1.1.1/", @@ -3071,13 +3215,13 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "bert_embeddings.py", - "image": "mlrun/ml-models", - "handler": "handler", "requirements": [ "torch==1.6.0" ], - "kind": "nuclio" + "kind": "nuclio", + "filename": "bert_embeddings.py", + "handler": "handler", + "image": "mlrun/ml-models" }, "status": { "state": null @@ -3094,38 +3238,39 @@ "updated": null, "created": null, "source": "functions", - "version": "0.9.0", - "tag": "0.9.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "bert_embeddings.ipynb", - "mlrunVersion": "0.8.0", + "version": "1.2.0", + "tag": "1.2.0", + "mlrunVersion": "1.4.1", + "doc": "", "categories": [ "machine-learning", "data-preparation" ], - "generationDate": "2021-11-18:12-28", - "doc": "" + "platformVersion": "3.5.3", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2022-08-28:17-25", + "example": "bert_embeddings.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/bert_embeddings/0.9.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/bert_embeddings/1.2.0/", "assets": { "example": "src/bert_embeddings.ipynb", "source": "src/bert_embeddings.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "bert_embeddings.py", - "image": "mlrun/ml-models", - "handler": "handler", "requirements": [ - "torch==1.6.0" + "torch" ], - "kind": "nuclio" + "kind": "nuclio", + "filename": "bert_embeddings.py", + "handler": "handler", + "image": "mlrun/mlrun" }, "status": { "state": null @@ -3144,20 +3289,20 @@ "source": "functions", "version": "0.8.0", "tag": "0.8.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "bert_embeddings.ipynb", "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "machine-learning", "data-preparation" ], + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", "generationDate": "2021-11-18:12-28", - "doc": "" + "example": "bert_embeddings.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/bert_embeddings/0.8.0/", @@ -3167,13 +3312,13 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "bert_embeddings.py", - "image": "mlrun/ml-models", - "handler": "handler", "requirements": [ "torch==1.6.0" ], - "kind": "nuclio" + "kind": "nuclio", + "filename": "bert_embeddings.py", + "handler": "handler", + "image": "mlrun/ml-models" }, "status": { "state": null @@ -3192,21 +3337,21 @@ "source": "functions", "version": "1.1.0", "tag": "1.1.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "bert_embeddings.ipynb", "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "machine-learning", "data-preparation" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "bert_embeddings.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/bert_embeddings/1.1.0/", @@ -3216,13 +3361,13 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "bert_embeddings.py", - "image": "mlrun/ml-models", - "handler": "handler", "requirements": [ "torch==1.6.0" ], - "kind": "nuclio" + "kind": "nuclio", + "filename": "bert_embeddings.py", + "handler": "handler", + "image": "mlrun/ml-models" }, "status": { "state": null @@ -3231,48 +3376,46 @@ { "kind": "HubItem", "metadata": { - "name": "concept-drift", - "description": "Deploy a streaming Concept Drift detector on a labeled stream", + "name": "bert-embeddings", + "description": "Get BERT based embeddings for given text", "labels": { - "author": "orz", - "framework": "sklearn" + "framework": "pytorch" }, "updated": null, "created": null, "source": "functions", - "version": "1.1.0", - "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "concept_drift.ipynb", - "mlrunVersion": "1.1.0", + "version": "0.0.1", + "tag": "0.0.1", + "mlrunVersion": "0.5.4", + "doc": "", "categories": [ "machine-learning", - "model-serving" + "data-preparation" ], - "hidden": false, - "doc": "" - }, - "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/concept_drift/latest/", + "platformVersion": "2.10.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-05-19:22-04", + "example": "bert_embeddings.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" + }, + "spec": { + "item_uri": "https://mlrun.github.io/marketplace/functions/master/bert_embeddings/0.0.1/", "assets": { - "example": "src/concept_drift.ipynb", - "source": "src/concept_drift.py", + "example": "src/bert_embeddings.ipynb", + "source": "src/bert_embeddings.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "concept_drift.py", - "image": "mlrun/ml-models", - "handler": "concept_drift_deployer", "requirements": [ - "scikit-multiflow" + "torch==1.6.0" ], - "kind": "job" + "kind": "nuclio", + "filename": "bert_embeddings.py", + "handler": "handler", + "image": "mlrun/ml-models" }, "status": { "state": null @@ -3281,45 +3424,46 @@ { "kind": "HubItem", "metadata": { - "name": "concept-drift", - "description": "Deploy a streaming Concept Drift detector on a labeled stream", + "name": "bert-embeddings", + "description": "Get BERT based embeddings for given text", "labels": { - "author": "orz", - "framework": "sklearn" + "framework": "pytorch" }, "updated": null, "created": null, "source": "functions", - "version": "0.0.1", - "tag": "0.0.1", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "", - "example": "concept_drift.ipynb", - "mlrunVersion": "", + "version": "0.9.0", + "tag": "0.9.0", + "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "machine-learning", - "model-serving" + "data-preparation" ], - "generationDate": "2021-05-19:22-04", - "doc": "" + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-11-18:12-28", + "example": "bert_embeddings.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/concept_drift/0.0.1/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/bert_embeddings/0.9.0/", "assets": { - "example": "src/concept_drift.ipynb", - "source": "src/concept_drift.py", + "example": "src/bert_embeddings.ipynb", + "source": "src/bert_embeddings.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "concept_drift.py", - "image": "mlrun/ml-models", - "handler": "concept_drift_deployer", - "requirements": [], - "kind": "job" + "requirements": [ + "torch==1.6.0" + ], + "kind": "nuclio", + "filename": "bert_embeddings.py", + "handler": "handler", + "image": "mlrun/ml-models" }, "status": { "state": null @@ -3337,38 +3481,39 @@ "updated": null, "created": null, "source": "functions", - "version": "0.9.1", - "tag": "0.9.1", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "concept_drift.ipynb", - "mlrunVersion": "0.8.0", + "version": "1.1.0", + "tag": "latest", + "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "machine-learning", "model-serving" ], - "generationDate": "2021-11-18:12-28", - "doc": "" + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2022-08-28:17-25", + "example": "concept_drift.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/concept_drift/0.9.1/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/concept_drift/latest/", "assets": { "example": "src/concept_drift.ipynb", "source": "src/concept_drift.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "concept_drift.py", - "image": "mlrun/ml-models", - "handler": "concept_drift_deployer", "requirements": [ "scikit-multiflow" ], - "kind": "job" + "kind": "job", + "filename": "concept_drift.py", + "handler": "concept_drift_deployer", + "image": "mlrun/ml-models" }, "status": { "state": null @@ -3386,38 +3531,38 @@ "updated": null, "created": null, "source": "functions", - "version": "0.9.0", - "tag": "0.9.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "concept_drift.ipynb", + "version": "0.9.1", + "tag": "0.9.1", "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "machine-learning", "model-serving" ], + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", "generationDate": "2021-11-18:12-28", - "doc": "" + "example": "concept_drift.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/concept_drift/0.9.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/concept_drift/0.9.1/", "assets": { "example": "src/concept_drift.ipynb", "source": "src/concept_drift.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "concept_drift.py", - "image": "mlrun/ml-models", - "handler": "concept_drift_deployer", "requirements": [ "scikit-multiflow" ], - "kind": "job" + "kind": "job", + "filename": "concept_drift.py", + "handler": "concept_drift_deployer", + "image": "mlrun/ml-models" }, "status": { "state": null @@ -3437,20 +3582,20 @@ "source": "functions", "version": "0.8.0", "tag": "0.8.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "concept_drift.ipynb", "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "machine-learning", "model-serving" ], + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", "generationDate": "2021-11-18:12-28", - "doc": "" + "example": "concept_drift.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/concept_drift/0.8.0/", @@ -3460,13 +3605,13 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "concept_drift.py", - "image": "mlrun/ml-models", - "handler": "concept_drift_deployer", "requirements": [ "scikit-multiflow" ], - "kind": "job" + "kind": "job", + "filename": "concept_drift.py", + "handler": "concept_drift_deployer", + "image": "mlrun/ml-models" }, "status": { "state": null @@ -3486,21 +3631,21 @@ "source": "functions", "version": "1.1.0", "tag": "1.1.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "concept_drift.ipynb", "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "machine-learning", "model-serving" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "concept_drift.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/concept_drift/1.1.0/", @@ -3510,13 +3655,13 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "concept_drift.py", - "image": "mlrun/ml-models", - "handler": "concept_drift_deployer", "requirements": [ "scikit-multiflow" ], - "kind": "job" + "kind": "job", + "filename": "concept_drift.py", + "handler": "concept_drift_deployer", + "image": "mlrun/ml-models" }, "status": { "state": null @@ -3525,46 +3670,45 @@ { "kind": "HubItem", "metadata": { - "name": "pandas-profiling-report", - "description": "Create Pandas Profiling Report from Dataset", + "name": "concept-drift", + "description": "Deploy a streaming Concept Drift detector on a labeled stream", "labels": { - "author": "nicks" + "author": "orz", + "framework": "sklearn" }, "updated": null, "created": null, "source": "functions", - "version": "1.1.0", - "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "pandas_profiling_report.ipynb", - "mlrunVersion": "1.1.0", + "version": "0.0.1", + "tag": "0.0.1", + "mlrunVersion": "", + "doc": "", "categories": [ - "data-analysis" + "machine-learning", + "model-serving" ], - "hidden": false, - "doc": "" + "platformVersion": "", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-05-19:22-04", + "example": "concept_drift.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/pandas_profiling_report/latest/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/concept_drift/0.0.1/", "assets": { - "example": "src/pandas_profiling_report.ipynb", - "source": "src/pandas_profiling_report.py", + "example": "src/concept_drift.ipynb", + "source": "src/concept_drift.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "pandas_profiling_report.py", - "image": "mlrun/mlrun", - "handler": "pandas_profiling_report", - "requirements": [ - "pandas_profiling" - ], - "kind": "job" + "requirements": [], + "kind": "job", + "filename": "concept_drift.py", + "handler": "concept_drift_deployer", + "image": "mlrun/ml-models" }, "status": { "state": null @@ -3573,45 +3717,47 @@ { "kind": "HubItem", "metadata": { - "name": "pandas-profiling-report", - "description": "Create Pandas Profiling Report from Dataset", + "name": "concept-drift", + "description": "Deploy a streaming Concept Drift detector on a labeled stream", "labels": { - "author": "nicks" + "author": "orz", + "framework": "sklearn" }, "updated": null, "created": null, "source": "functions", - "version": "0.0.1", - "tag": "0.0.1", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "", - "example": "pandas_profiling_report.ipynb", - "mlrunVersion": "", + "version": "0.9.0", + "tag": "0.9.0", + "mlrunVersion": "0.8.0", + "doc": "", "categories": [ - "data-analysis" + "machine-learning", + "model-serving" ], - "generationDate": "2021-05-19:23-13", - "doc": "" + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-11-18:12-28", + "example": "concept_drift.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/pandas_profiling_report/0.0.1/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/concept_drift/0.9.0/", "assets": { - "example": "src/pandas_profiling_report.ipynb", - "source": "src/pandas_profiling_report.py", + "example": "src/concept_drift.ipynb", + "source": "src/concept_drift.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "pandas_profiling_report.py", - "image": "mlrun/mlrun", - "handler": "pandas_profiling_report", "requirements": [ - "pandas_profiling" + "scikit-multiflow" ], - "kind": "job" + "kind": "job", + "filename": "concept_drift.py", + "handler": "concept_drift_deployer", + "image": "mlrun/ml-models" }, "status": { "state": null @@ -3628,37 +3774,38 @@ "updated": null, "created": null, "source": "functions", - "version": "0.9.0", - "tag": "0.9.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "pandas_profiling_report.ipynb", - "mlrunVersion": "0.8.0", + "version": "1.1.0", + "tag": "latest", + "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "data-analysis" ], - "generationDate": "2021-11-18:12-28", - "doc": "" - }, - "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/pandas_profiling_report/0.9.0/", - "assets": { + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2022-08-28:17-25", + "example": "pandas_profiling_report.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" + }, + "spec": { + "item_uri": "https://mlrun.github.io/marketplace/functions/master/pandas_profiling_report/latest/", + "assets": { "example": "src/pandas_profiling_report.ipynb", "source": "src/pandas_profiling_report.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "pandas_profiling_report.py", - "image": "mlrun/mlrun", - "handler": "pandas_profiling_report", "requirements": [ "pandas_profiling" ], - "kind": "job" + "kind": "job", + "filename": "pandas_profiling_report.py", + "handler": "pandas_profiling_report", + "image": "mlrun/mlrun" }, "status": { "state": null @@ -3677,19 +3824,19 @@ "source": "functions", "version": "0.8.0", "tag": "0.8.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "pandas_profiling_report.ipynb", "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "data-analysis" ], + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", "generationDate": "2021-11-18:12-28", - "doc": "" + "example": "pandas_profiling_report.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/pandas_profiling_report/0.8.0/", @@ -3699,13 +3846,13 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "pandas_profiling_report.py", - "image": "mlrun/mlrun", - "handler": "pandas_profiling_report", "requirements": [ "pandas_profiling" ], - "kind": "job" + "kind": "job", + "filename": "pandas_profiling_report.py", + "handler": "pandas_profiling_report", + "image": "mlrun/mlrun" }, "status": { "state": null @@ -3724,20 +3871,20 @@ "source": "functions", "version": "1.1.0", "tag": "1.1.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "pandas_profiling_report.ipynb", "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "data-analysis" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "pandas_profiling_report.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/pandas_profiling_report/1.1.0/", @@ -3747,13 +3894,13 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "pandas_profiling_report.py", - "image": "mlrun/mlrun", - "handler": "pandas_profiling_report", "requirements": [ "pandas_profiling" ], - "kind": "job" + "kind": "job", + "filename": "pandas_profiling_report.py", + "handler": "pandas_profiling_report", + "image": "mlrun/mlrun" }, "status": { "state": null @@ -3762,45 +3909,45 @@ { "kind": "HubItem", "metadata": { - "name": "load-dataset", - "description": "load a toy dataset from scikit-learn", + "name": "pandas-profiling-report", + "description": "Create Pandas Profiling Report from Dataset", "labels": { - "author": "yjb", - "framework": "sklearn" + "author": "nicks" }, "updated": null, "created": null, "source": "functions", - "version": "1.1.0", - "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "load_dataset.ipynb", - "mlrunVersion": "1.1.0", + "version": "0.0.1", + "tag": "0.0.1", + "mlrunVersion": "", + "doc": "", "categories": [ - "data-preparation" + "data-analysis" ], - "hidden": false, - "doc": "README.md" + "platformVersion": "", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-05-19:23-13", + "example": "pandas_profiling_report.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/load_dataset/latest/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/pandas_profiling_report/0.0.1/", "assets": { - "example": "src/load_dataset.ipynb", - "source": "src/load_dataset.py", + "example": "src/pandas_profiling_report.ipynb", + "source": "src/pandas_profiling_report.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "load_dataset.py", - "image": "mlrun/ml-models", - "handler": "load_dataset", - "requirements": [], - "kind": "job" + "requirements": [ + "pandas_profiling" + ], + "kind": "job", + "filename": "pandas_profiling_report.py", + "handler": "pandas_profiling_report", + "image": "mlrun/mlrun" }, "status": { "state": null @@ -3809,44 +3956,45 @@ { "kind": "HubItem", "metadata": { - "name": "load-dataset", - "description": "load a toy dataset from scikit-learn", + "name": "pandas-profiling-report", + "description": "Create Pandas Profiling Report from Dataset", "labels": { - "author": "yjb", - "framework": "sklearn" + "author": "nicks" }, "updated": null, "created": null, "source": "functions", - "version": "0.0.1", - "tag": "0.0.1", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "", - "example": "load_dataset.ipynb", - "mlrunVersion": "", + "version": "0.9.0", + "tag": "0.9.0", + "mlrunVersion": "0.8.0", + "doc": "", "categories": [ - "data-preparation" + "data-analysis" ], - "generationDate": "2021-05-19:23-13", - "doc": "README.md" + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-11-18:12-28", + "example": "pandas_profiling_report.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/load_dataset/0.0.1/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/pandas_profiling_report/0.9.0/", "assets": { - "example": "src/load_dataset.ipynb", - "source": "src/load_dataset.py", + "example": "src/pandas_profiling_report.ipynb", + "source": "src/pandas_profiling_report.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "load_dataset.py", - "image": "mlrun/ml-models", - "handler": "load_dataset", - "requirements": [], - "kind": "job" + "requirements": [ + "pandas_profiling" + ], + "kind": "job", + "filename": "pandas_profiling_report.py", + "handler": "pandas_profiling_report", + "image": "mlrun/mlrun" }, "status": { "state": null @@ -3864,35 +4012,36 @@ "updated": null, "created": null, "source": "functions", - "version": "0.9.0", - "tag": "0.9.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "load_dataset.ipynb", - "mlrunVersion": "0.8.0", + "version": "1.1.0", + "tag": "latest", + "mlrunVersion": "1.1.0", + "doc": "README.md", "categories": [ "data-preparation" ], - "generationDate": "2021-11-18:12-28", - "doc": "README.md" + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2022-08-28:17-25", + "example": "load_dataset.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/load_dataset/0.9.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/load_dataset/latest/", "assets": { "example": "src/load_dataset.ipynb", "source": "src/load_dataset.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "load_dataset.py", - "image": "mlrun/ml-models", "handler": "load_dataset", - "requirements": [], - "kind": "job" + "image": "mlrun/ml-models" }, "status": { "state": null @@ -3912,19 +4061,19 @@ "source": "functions", "version": "0.8.0", "tag": "0.8.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "load_dataset.ipynb", "mlrunVersion": "0.8.0", + "doc": "README.md", "categories": [ "data-preparation" ], + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", "generationDate": "2021-11-18:12-28", - "doc": "README.md" + "example": "load_dataset.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/load_dataset/0.8.0/", @@ -3934,11 +4083,11 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "load_dataset.py", - "image": "mlrun/ml-models", "handler": "load_dataset", - "requirements": [], - "kind": "job" + "image": "mlrun/ml-models" }, "status": { "state": null @@ -3958,20 +4107,20 @@ "source": "functions", "version": "1.1.0", "tag": "1.1.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "load_dataset.ipynb", "mlrunVersion": "1.1.0", + "doc": "README.md", "categories": [ "data-preparation" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "README.md" + "generationDate": "2022-08-28:17-25", + "example": "load_dataset.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/load_dataset/1.1.0/", @@ -3981,11 +4130,11 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "load_dataset.py", - "image": "mlrun/ml-models", "handler": "load_dataset", - "requirements": [], - "kind": "job" + "image": "mlrun/ml-models" }, "status": { "state": null @@ -3994,49 +4143,44 @@ { "kind": "HubItem", "metadata": { - "name": "concept-drift-streaming", - "description": "Deploy a streaming Concept Drift detector on a labeled stream. the nuclio part of the concept_drift function", + "name": "load-dataset", + "description": "load a toy dataset from scikit-learn", "labels": { - "author": "orz", + "author": "yjb", "framework": "sklearn" }, "updated": null, "created": null, "source": "functions", - "version": "1.1.0", - "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "concept_drift_streaming.ipynb", - "mlrunVersion": "1.1.0", + "version": "0.0.1", + "tag": "0.0.1", + "mlrunVersion": "", + "doc": "README.md", "categories": [ - "machine-learning", - "monitoring" + "data-preparation" ], - "hidden": false, - "doc": "" + "platformVersion": "", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-05-19:23-13", + "example": "load_dataset.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/concept_drift_streaming/latest/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/load_dataset/0.0.1/", "assets": { - "example": "src/concept_drift_streaming.ipynb", - "source": "src/concept_drift_streaming.py", + "example": "src/load_dataset.ipynb", + "source": "src/load_dataset.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "concept_drift_streaming.py", - "image": "mlrun/ml-models", - "handler": "handler", - "requirements": [ - "scikit-multiflow==0.4.1", - "v3io_frames" - ], - "kind": "nuclio" + "requirements": [], + "kind": "job", + "filename": "load_dataset.py", + "handler": "load_dataset", + "image": "mlrun/ml-models" }, "status": { "state": null @@ -4045,48 +4189,95 @@ { "kind": "HubItem", "metadata": { - "name": "concept-drift-streaming", - "description": "Deploy a streaming Concept Drift detector on a labeled stream. the nuclio part of the concept_drift function", + "name": "load-dataset", + "description": "load a toy dataset from scikit-learn", "labels": { - "author": "orz", + "author": "yjb", "framework": "sklearn" }, "updated": null, "created": null, "source": "functions", - "version": "0.0.1", - "tag": "0.0.1", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", + "version": "0.9.0", + "tag": "0.9.0", + "mlrunVersion": "0.8.0", + "doc": "README.md", + "categories": [ + "data-preparation" + ], + "platformVersion": "3.2.0", + "icon": "", "marketplaceType": "", - "platformVersion": "", - "example": "concept_drift_streaming.ipynb", - "mlrunVersion": "", + "generationDate": "2021-11-18:12-28", + "example": "load_dataset.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" + }, + "spec": { + "item_uri": "https://mlrun.github.io/marketplace/functions/master/load_dataset/0.9.0/", + "assets": { + "example": "src/load_dataset.ipynb", + "source": "src/load_dataset.py", + "function": "src/function.yaml", + "docs": "static/documentation.html" + }, + "requirements": [], + "kind": "job", + "filename": "load_dataset.py", + "handler": "load_dataset", + "image": "mlrun/ml-models" + }, + "status": { + "state": null + } + }, + { + "kind": "HubItem", + "metadata": { + "name": "concept-drift-streaming", + "description": "Deploy a streaming Concept Drift detector on a labeled stream. the nuclio part of the concept_drift function", + "labels": { + "author": "orz", + "framework": "sklearn" + }, + "updated": null, + "created": null, + "source": "functions", + "version": "1.1.0", + "tag": "latest", + "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "machine-learning", "monitoring" ], - "generationDate": "2021-05-19:22-41", - "doc": "" + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2022-08-28:17-25", + "example": "concept_drift_streaming.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/concept_drift_streaming/0.0.1/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/concept_drift_streaming/latest/", "assets": { "example": "src/concept_drift_streaming.ipynb", "source": 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"spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/concept_drift_streaming/0.9.1/", @@ -4129,14 +4320,14 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "concept_drift_streaming.py", - "image": "mlrun/ml-models", - "handler": "handler", "requirements": [ "scikit-multiflow==0.4.1", "v3io_frames" ], - "kind": "nuclio" + "kind": "nuclio", + "filename": "concept_drift_streaming.py", + "handler": "handler", + "image": "mlrun/ml-models" }, "status": { "state": null @@ -4154,39 +4345,39 @@ "updated": null, "created": null, "source": "functions", - "version": "0.9.0", - "tag": "0.9.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "concept_drift_streaming.ipynb", + "version": "0.8.0", + "tag": "0.8.0", "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "machine-learning", "monitoring" ], + "platformVersion": "3.2.0", + "icon": "", + 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[], - "kind": "job" + "image": "" }, "status": { "state": null @@ -4629,36 +4870,36 @@ "updated": null, "created": null, "source": "functions", - "version": "1.0.5", - "tag": "1.0.5", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "", - "example": "auto_trainer.ipynb", - "mlrunVersion": "1.0.0", + "version": "0.10.3", + "tag": "0.10.3", + "mlrunVersion": "0.10.0", + "doc": "", "categories": [ "machine-learning", "model-training" ], + "platformVersion": "", + "icon": "", + "marketplaceType": "", "generationDate": "2022-04-26:10-43", - "doc": "" + "example": "auto_trainer.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/auto_trainer/1.0.5/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/auto_trainer/0.10.3/", "assets": { "example": "src/auto_trainer.ipynb", "source": "src/auto_trainer.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "auto_trainer.py", - "image": "mlrun/mlrun", "handler": "train", - "requirements": [], - "kind": "job" + "image": "" }, "status": { "state": null @@ -4677,21 +4918,21 @@ "source": "functions", "version": "1.1.0", "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "tf2_serving_v2.ipynb", "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "model-serving", "machine-learning" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "tf2_serving_v2.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/tf2_serving_v2/latest/", @@ -4701,15 +4942,15 @@ 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+ "kind": "serving", + "filename": "tf2_serving_v2.py", + "handler": "handler", + "image": "mlrun/mlrun" }, "status": { "state": null @@ -4979,21 +5220,21 @@ "source": "functions", "version": "1.1.0", "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "stream_to_parquet.ipynb", "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "machine-learning", "data-preparation" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "stream_to_parquet.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/stream_to_parquet/latest/", @@ -5003,15 +5244,15 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, + "kind": "nuclio", "filename": 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"src/stream_to_parquet.ipynb", "source": "src/stream_to_parquet.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "kind": "nuclio", "filename": "stream_to_parquet.py", - "requirements": [], "customFields": { - "max_replicas": 1, - "min_replicas": 1 + "min_replicas": 1, + "max_replicas": 1 }, - "image": "mlrun/ml-models", "handler": "handler", - "kind": "nuclio" + "requirements": [], + "image": "mlrun/ml-models" }, "status": { "state": null @@ -5178,41 +5420,40 @@ "updated": null, "created": null, "source": "functions", - "version": "1.1.0", - "tag": "1.1.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "stream_to_parquet.ipynb", - "mlrunVersion": "1.1.0", + "version": "0.9.0", + "tag": "0.9.0", + "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "machine-learning", "data-preparation" ], - "hidden": false, - "doc": "" + 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"static/documentation.html" }, + "kind": "serving", "filename": "v2_model_server.py", - "requirements": [], - "image": "mlrun/mlrun", "customFields": { "default_class": "ClassifierModel" }, "handler": "handler", - "kind": "serving" + "requirements": [], + "image": "mlrun/mlrun" }, "status": { "state": null @@ -5331,39 +5572,40 @@ "updated": null, "created": null, "source": "functions", - "version": "0.9.0", - "tag": "0.9.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "v2_model_server.ipynb", - "mlrunVersion": "0.8.0", + "version": "1.1.0", + "tag": "1.1.0", + "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "model-serving", "machine-learning" ], - "generationDate": "2021-11-18:12-28", - "doc": "" + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2022-08-28:17-25", + "example": "v2_model_server.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/v2_model_server/0.9.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/v2_model_server/1.1.0/", "assets": { "example": "src/v2_model_server.ipynb", "source": "src/v2_model_server.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "kind": "serving", "filename": "v2_model_server.py", - "requirements": [], "customFields": { "default_class": "ClassifierModel" }, - "image": "mlrun/mlrun", "handler": "handler", - "kind": "serving" + "requirements": [], + "image": "mlrun/mlrun" }, "status": { "state": null @@ -5381,39 +5623,39 @@ "updated": null, "created": null, "source": "functions", - "version": "1.0.0", - "tag": "1.0.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "v2_model_server.ipynb", - "mlrunVersion": "0.8.0", + "version": 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null @@ -5431,39 +5673,39 @@ "updated": null, "created": null, "source": "functions", - "version": "0.8.0", - "tag": "0.8.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "v2_model_server.ipynb", + "version": "1.0.0", + "tag": "1.0.0", "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "model-serving", "machine-learning" ], + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", "generationDate": "2021-11-18:12-28", - "doc": "" + "example": "v2_model_server.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/v2_model_server/0.8.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/v2_model_server/1.0.0/", "assets": { "example": "src/v2_model_server.ipynb", "source": "src/v2_model_server.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "kind": "serving", "filename": "v2_model_server.py", - "requirements": [], "customFields": { "default_class": "ClassifierModel" }, - "image": "mlrun/mlrun", "handler": "handler", - "kind": "serving" + "requirements": [], + "image": "mlrun/mlrun" }, "status": { "state": null @@ -5481,40 +5723,39 @@ "updated": null, "created": null, "source": "functions", - "version": "1.1.0", - "tag": "1.1.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "v2_model_server.ipynb", - "mlrunVersion": "1.1.0", + "version": "0.9.0", + "tag": "0.9.0", + "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "model-serving", "machine-learning" ], - "hidden": false, - "doc": "" + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-11-18:12-28", + "example": "v2_model_server.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/v2_model_server/1.1.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/v2_model_server/0.9.0/", "assets": { "example": "src/v2_model_server.ipynb", "source": "src/v2_model_server.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "kind": "serving", "filename": "v2_model_server.py", - "requirements": [], "customFields": { "default_class": "ClassifierModel" }, - "image": "mlrun/mlrun", "handler": "handler", - "kind": "serving" + "requirements": [], + "image": "mlrun/mlrun" }, "status": { "state": null @@ -5533,20 +5774,21 @@ "source": "functions", "version": "1.1.0", "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "feature_perms.ipynb", "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "data-analysis" ], + 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"static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "feature_perms.py", - "image": "mlrun/ml-models", "handler": "permutation_importance", - "requirements": [], - "kind": "job" + "image": "mlrun/ml-models" }, "status": { "state": null @@ -5667,35 +5911,35 @@ "updated": null, "created": null, "source": "functions", - "version": "1.0.0", - "tag": "1.0.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "feature_perms.ipynb", - "mlrunVersion": "0.8.0", + "version": "0.0.1", + "tag": "0.0.1", + "mlrunVersion": "", + "doc": "", "categories": [ "data-analysis" ], - "generationDate": "2021-11-18:12-28", - "doc": "" + "platformVersion": "", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-05-19:22-41", + "example": "feature_perms.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/feature_perms/1.0.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/feature_perms/0.0.1/", "assets": { "example": "src/feature_perms.ipynb", "source": "src/feature_perms.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "feature_perms.py", - "image": "mlrun/ml-models", "handler": "permutation_importance", - "requirements": [], - "kind": "job" + "image": "mlrun/ml-models" }, "status": { "state": null @@ -5712,35 +5956,35 @@ "updated": null, "created": null, "source": "functions", - "version": "0.8.0", - "tag": "0.8.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "feature_perms.ipynb", + "version": "1.0.0", + "tag": "1.0.0", "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "data-analysis" ], + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", "generationDate": "2021-11-18:12-28", - "doc": "" + "example": "feature_perms.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/feature_perms/0.8.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/feature_perms/1.0.0/", "assets": { "example": "src/feature_perms.ipynb", "source": "src/feature_perms.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "feature_perms.py", - "image": "mlrun/ml-models", "handler": "permutation_importance", - "requirements": [], - "kind": "job" + "image": "mlrun/ml-models" }, "status": { "state": null @@ -5757,36 +6001,35 @@ "updated": null, "created": null, "source": "functions", - "version": "1.1.0", - "tag": "1.1.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - 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"mlrun/ml-models" }, "status": { "state": null @@ -5805,21 +6048,21 @@ "source": "functions", "version": "1.1.0", "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "model_server_tester.ipynb", "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "monitoring", "model-serving" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "model_server_tester.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/model_server_tester/latest/", @@ -5829,11 +6072,11 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "model_server_tester.py", - "image": "mlrun/mlrun", "handler": "model_server_tester", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -5850,36 +6093,36 @@ "updated": null, "created": null, "source": "functions", - "version": "0.0.1", - "tag": "0.0.1", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "", - "example": "model_server_tester.ipynb", - "mlrunVersion": "", + "version": "0.8.0", + "tag": "0.8.0", + "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "monitoring", "model-serving" ], - "generationDate": "2021-05-19:23-13", - "doc": "" + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-11-18:12-28", + "example": "model_server_tester.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/model_server_tester/0.0.1/", + "item_uri": 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"3.5.0", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2022-08-28:17-25", + "example": "model_server_tester.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/model_server_tester/0.9.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/model_server_tester/1.1.0/", "assets": { "example": "src/model_server_tester.ipynb", "source": "src/model_server_tester.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "model_server_tester.py", - "image": "mlrun/mlrun", "handler": "model_server_tester", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -5942,36 +6186,36 @@ "updated": null, "created": null, "source": "functions", - "version": "1.0.0", - "tag": "1.0.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "model_server_tester.ipynb", - "mlrunVersion": "0.8.0", + "version": "0.0.1", + "tag": "0.0.1", + "mlrunVersion": "", + "doc": "", "categories": [ "monitoring", "model-serving" ], - "generationDate": "2021-11-18:12-28", - "doc": "" + "platformVersion": "", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-05-19:23-13", + "example": "model_server_tester.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/model_server_tester/1.0.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/model_server_tester/0.0.1/", "assets": { "example": "src/model_server_tester.ipynb", "source": "src/model_server_tester.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "model_server_tester.py", - "image": "mlrun/mlrun", "handler": "model_server_tester", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -5988,36 +6232,36 @@ "updated": null, "created": null, "source": "functions", - "version": "0.8.0", - "tag": "0.8.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "model_server_tester.ipynb", + "version": "1.0.0", + "tag": "1.0.0", "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "monitoring", "model-serving" ], + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", "generationDate": "2021-11-18:12-28", - "doc": "" + "example": "model_server_tester.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/model_server_tester/0.8.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/model_server_tester/1.0.0/", "assets": { "example": "src/model_server_tester.ipynb", "source": "src/model_server_tester.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "model_server_tester.py", - "image": "mlrun/mlrun", "handler": "model_server_tester", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -6034,37 +6278,36 @@ "updated": null, "created": null, "source": "functions", - "version": "1.1.0", - "tag": "1.1.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "model_server_tester.ipynb", - "mlrunVersion": "1.1.0", + "version": "0.9.0", + "tag": "0.9.0", + "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "monitoring", "model-serving" ], - "hidden": false, - "doc": "" + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-11-18:12-28", + "example": "model_server_tester.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/model_server_tester/1.1.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/model_server_tester/0.9.0/", "assets": { "example": "src/model_server_tester.ipynb", "source": "src/model_server_tester.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "model_server_tester.py", - "image": "mlrun/mlrun", "handler": "model_server_tester", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -6084,21 +6327,22 @@ "source": "functions", "version": "1.1.0", "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "sentiment_analysis_serving.ipynb", "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "model-serving", "machine-learning" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "sentiment_analysis_serving.ipynb", + "test_valid": false, + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/sentiment_analysis_serving/latest/", @@ -6108,13 +6352,13 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "sentiment_analysis_serving.py", - "image": "mlrun/ml-models", - "handler": "handler", "requirements": [ "transformers==3.0.2" ], - "kind": "serving" + "kind": "serving", + "filename": "sentiment_analysis_serving.py", + "handler": "handler", + "image": "mlrun/ml-models" }, "status": { "state": null @@ -6132,38 +6376,38 @@ "updated": null, "created": null, "source": "functions", - "version": "0.0.1", - "tag": "0.0.1", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.0.0", - "example": "sentiment_analysis_serving.ipynb", - "mlrunVersion": "0.6.3", + "version": "0.8.0", + "tag": "0.8.0", + "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "model-serving", "machine-learning" ], - "generationDate": "2021-05-19:23-13", - "doc": "" + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-11-18:12-28", + "example": "sentiment_analysis_serving.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/sentiment_analysis_serving/0.0.1/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/sentiment_analysis_serving/0.8.0/", "assets": { "example": "src/sentiment_analysis_serving.ipynb", "source": "src/sentiment_analysis_serving.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "sentiment_analysis_serving.py", - "image": "mlrun/ml-models", - "handler": "handler", "requirements": [ "transformers==3.0.2" ], - "kind": "serving" + "kind": "serving", + "filename": "sentiment_analysis_serving.py", + "handler": "handler", + "image": "mlrun/ml-models" }, "status": { "state": null @@ -6181,38 +6425,40 @@ "updated": null, "created": null, "source": "functions", - "version": "0.9.0", - "tag": "0.9.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "sentiment_analysis_serving.ipynb", - "mlrunVersion": "0.8.0", + "version": "1.1.0", + "tag": "1.1.0", + "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "model-serving", "machine-learning" ], - "generationDate": "2021-11-18:12-28", - "doc": "" + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2022-08-28:17-25", + "example": "sentiment_analysis_serving.ipynb", + "test_valid": false, + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/sentiment_analysis_serving/0.9.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/sentiment_analysis_serving/1.1.0/", "assets": { "example": "src/sentiment_analysis_serving.ipynb", "source": "src/sentiment_analysis_serving.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "sentiment_analysis_serving.py", - "image": "mlrun/ml-models", - "handler": "handler", "requirements": [ "transformers==3.0.2" ], - "kind": "serving" + "kind": "serving", + "filename": "sentiment_analysis_serving.py", + "handler": "handler", + "image": "mlrun/ml-models" }, "status": { "state": null @@ -6230,38 +6476,38 @@ "updated": null, "created": null, "source": "functions", - "version": "1.0.0", - "tag": "1.0.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.4.0", - "example": "sentiment_analysis_serving.ipynb", - "mlrunVersion": "1.0.0", + "version": "0.0.1", + "tag": "0.0.1", + "mlrunVersion": "0.6.3", + "doc": "", "categories": [ "model-serving", "machine-learning" ], - "generationDate": "2021-11-18:12-28", - "doc": "" + "platformVersion": "3.0.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-05-19:23-13", + "example": "sentiment_analysis_serving.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/sentiment_analysis_serving/1.0.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/sentiment_analysis_serving/0.0.1/", "assets": { "example": "src/sentiment_analysis_serving.ipynb", "source": "src/sentiment_analysis_serving.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "sentiment_analysis_serving.py", - "image": "mlrun/ml-models", - "handler": "handler", "requirements": [ "transformers==3.0.2" ], - "kind": "serving" + "kind": "serving", + "filename": "sentiment_analysis_serving.py", + "handler": "handler", + "image": "mlrun/ml-models" }, "status": { "state": null @@ -6279,38 +6525,38 @@ "updated": null, "created": null, "source": "functions", - "version": "0.8.0", - "tag": "0.8.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "sentiment_analysis_serving.ipynb", - "mlrunVersion": "0.8.0", + "version": "1.0.0", + "tag": "1.0.0", + "mlrunVersion": "1.0.0", + "doc": "", "categories": [ "model-serving", "machine-learning" ], + "platformVersion": "3.4.0", + "icon": "", + "marketplaceType": "", "generationDate": "2021-11-18:12-28", - "doc": "" + "example": "sentiment_analysis_serving.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - 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"serving" + "kind": "serving", + "filename": "sentiment_analysis_serving.py", + "handler": "handler", + "image": "mlrun/ml-models" }, "status": { "state": null @@ -6379,22 +6624,22 @@ "source": "functions", "version": "1.2.0", "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "get_offline_features.ipynb", "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "data-preparation", "data-analysis", "feature-store" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "get_offline_features.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/get_offline_features/latest/", @@ -6404,11 +6649,11 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "get_offline_features.py", - "image": "mlrun/mlrun", "handler": "get_offline_features", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -6425,37 +6670,38 @@ "updated": null, "created": null, "source": "functions", - "version": "1.0.2", - "tag": "1.0.2", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "", - "example": "get_offline_features.ipynb", - "mlrunVersion": "1.0.1", + "version": "1.2.0", + "tag": "1.2.0", + "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "data-preparation", "data-analysis", "feature-store" ], - "generationDate": "2022-05-25:10-58", - "doc": "" + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2022-08-28:17-25", + "example": "get_offline_features.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - 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[ "data-preparation", "data-analysis", "feature-store" ], - "generationDate": "2022-01-17:17-56", - "doc": "" + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2022-08-28:17-25", + "example": "get_offline_features.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/get_offline_features/0.9.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/get_offline_features/1.1.0/", "assets": { "example": "src/get_offline_features.ipynb", "source": "src/get_offline_features.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "get_offline_features.py", - "image": "mlrun/mlrun", "handler": "get_offline_features", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -6519,38 +6766,37 @@ "updated": null, "created": null, "source": "functions", - "version": "1.2.0", - "tag": "1.2.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "get_offline_features.ipynb", - "mlrunVersion": "1.1.0", + "version": "0.9.0", + "tag": "0.9.0", + "mlrunVersion": "0.9.1", + "doc": "", "categories": [ "data-preparation", "data-analysis", "feature-store" ], - "hidden": false, - "doc": "" + "platformVersion": "", + "icon": "", + "marketplaceType": "", + "generationDate": "2022-01-17:17-56", + "example": "get_offline_features.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/get_offline_features/1.2.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/get_offline_features/0.9.0/", "assets": { "example": "src/get_offline_features.ipynb", "source": "src/get_offline_features.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "get_offline_features.py", - "image": "mlrun/mlrun", "handler": "get_offline_features", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -6569,21 +6815,21 @@ "source": "functions", "version": "1.0.1", "tag": "1.0.1", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "", - "example": "get_offline_features.ipynb", "mlrunVersion": "1.0.1", + "doc": "", "categories": [ "data-preparation", "data-analysis", "feature-store" ], + "platformVersion": "", + "icon": "", + "marketplaceType": "", "generationDate": "2022-05-25:10-58", - "doc": "" + "example": "get_offline_features.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/get_offline_features/1.0.1/", @@ -6593,11 +6839,11 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "get_offline_features.py", - "image": "mlrun/mlrun", "handler": "get_offline_features", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -6614,38 +6860,37 @@ "updated": null, "created": null, "source": "functions", - "version": "1.1.0", - "tag": "1.1.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "get_offline_features.ipynb", - "mlrunVersion": "1.1.0", + "version": "1.0.2", + "tag": "1.0.2", + "mlrunVersion": "1.0.1", + "doc": "", "categories": [ "data-preparation", "data-analysis", "feature-store" ], - "hidden": false, - "doc": "" + "platformVersion": "", + "icon": "", + "marketplaceType": "", + "generationDate": "2022-05-25:10-58", + "example": "get_offline_features.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/get_offline_features/1.1.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/get_offline_features/1.0.2/", "assets": { "example": "src/get_offline_features.ipynb", "source": "src/get_offline_features.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "get_offline_features.py", - "image": "mlrun/mlrun", "handler": "get_offline_features", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -6664,21 +6909,21 @@ "source": "functions", "version": "1.1.0", "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "v2_model_tester.ipynb", "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "model-testing", "machine-learning" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "v2_model_tester.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/v2_model_tester/latest/", @@ -6688,11 +6933,11 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "v2_model_tester.py", - "image": "mlrun/mlrun", "handler": "model_server_tester", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -6709,36 +6954,36 @@ "updated": null, "created": null, "source": "functions", - "version": "0.0.1", - "tag": "0.0.1", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "", - "example": "v2_model_tester.ipynb", - "mlrunVersion": "", + "version": "0.8.0", + "tag": "0.8.0", + "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "model-testing", "machine-learning" ], - "generationDate": "2021-05-19:23-13", - "doc": "" + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-11-18:12-28", + "example": "v2_model_tester.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/v2_model_tester/0.0.1/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/v2_model_tester/0.8.0/", "assets": { "example": "src/v2_model_tester.ipynb", "source": "src/v2_model_tester.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "v2_model_tester.py", - "image": "mlrun/mlrun", "handler": "model_server_tester", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -6755,36 +7000,37 @@ 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"src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "v2_model_tester.py", - "image": "mlrun/mlrun", "handler": "model_server_tester", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -6801,36 +7047,36 @@ "updated": null, "created": null, "source": "functions", - "version": "0.8.0", - "tag": "0.8.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "v2_model_tester.ipynb", - "mlrunVersion": "0.8.0", + "version": "0.0.1", + "tag": "0.0.1", + "mlrunVersion": "", + "doc": "", "categories": [ "model-testing", "machine-learning" ], - "generationDate": "2021-11-18:12-28", - "doc": "" + "platformVersion": "", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-05-19:23-13", + "example": "v2_model_tester.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - 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"categories": [ "model-testing", "machine-learning" ], - "hidden": false, - "doc": "" + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-11-18:12-28", + "example": "v2_model_tester.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/v2_model_tester/1.1.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/v2_model_tester/0.9.0/", "assets": { "example": "src/v2_model_tester.ipynb", "source": "src/v2_model_tester.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "v2_model_tester.py", - "image": "mlrun/mlrun", "handler": "model_server_tester", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -6897,21 +7142,21 @@ "source": "functions", "version": "1.1.0", "tag": "latest", - "maintainers": [], - "icon": "", - "url": 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"mlrun/ml-models", "handler": "cox_test", - "requirements": [], - "kind": "job" + "image": "mlrun/ml-models" }, "status": { "state": null @@ -6990,36 +7235,37 @@ "updated": null, "created": null, "source": "functions", - "version": "0.9.0", - "tag": "0.9.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "coxph_test.ipynb", - "mlrunVersion": "0.8.0", + "version": "1.1.0", + "tag": "1.1.0", + "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "machine-learning", "model-testing" ], - "generationDate": "2021-11-18:12-28", - "doc": "" + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2022-08-28:17-25", + "example": "coxph_test.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/coxph_test/0.9.0/", + "item_uri": 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"mlrun/ml-models", "handler": "cox_test", - "requirements": [], - "kind": "job" + "image": "mlrun/ml-models" }, "status": { "state": null @@ -7180,21 +7425,21 @@ "source": "functions", "version": "1.1.0", "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "virtual_drift.ipynb", "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "data-analysis", "machine-learning" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "virtual_drift.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/virtual_drift/latest/", @@ -7204,15 +7449,15 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "virtual_drift.py", - "image": 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}, "status": { "state": null @@ -7329,40 +7575,40 @@ "updated": null, "created": null, "source": "functions", - "version": "0.8.0", - "tag": "0.8.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "virtual_drift.ipynb", - "mlrunVersion": "0.8.0", + "version": "0.0.1", + "tag": "0.0.1", + "mlrunVersion": "", + "doc": "", "categories": [ "data-analysis", "machine-learning" ], - "generationDate": "2021-11-18:12-28", - "doc": "" + "platformVersion": "", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-05-19:23-13", + "example": "virtual_drift.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/virtual_drift/0.8.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/virtual_drift/0.0.1/", "assets": { "example": "src/virtual_drift.ipynb", "source": "src/virtual_drift.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "virtual_drift.py", - "image": "mlrun/ml-models", - "handler": "drift_magnitude", "requirements": [ "scikit-learn", "scipy", "v3io_frames" ], - "kind": "job" + "kind": "job", + "filename": "virtual_drift.py", + "handler": "drift_magnitude", + "image": "mlrun/ml-models" }, "status": { "state": null @@ -7379,41 +7625,40 @@ "updated": null, "created": null, "source": "functions", - "version": "1.1.0", - "tag": "1.1.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "virtual_drift.ipynb", - "mlrunVersion": "1.1.0", + "version": "0.9.0", + "tag": "0.9.0", + "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "data-analysis", "machine-learning" ], - "hidden": false, - "doc": "" + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", + "generationDate": 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"generationDate": "2022-08-28:17-25", - "example": "rnn_serving.ipynb", "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "model-serving", "machine-learning" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "rnn_serving.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/rnn_serving/latest/", @@ -7456,11 +7701,11 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": null, + "kind": "serving", "filename": "rnn_serving.py", - "image": "mlrun/ml-models", "handler": "handler", - "requirements": null, - "kind": "serving" + "image": "mlrun/ml-models" }, "status": { "state": null @@ -7477,38 +7722,36 @@ "updated": null, "created": null, "source": "functions", - "version": "0.0.1", - "tag": "0.0.1", - "maintainers": [], - "icon": "", - "url": "", - 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"requirements": [ - "keras" - ], - "kind": "serving" + "image": "mlrun/ml-models" }, "status": { "state": null @@ -7525,36 +7768,37 @@ "updated": null, "created": null, "source": "functions", - "version": "0.9.0", - "tag": "0.9.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "rnn_serving.ipynb", - "mlrunVersion": "0.8.0", + "version": "1.1.0", + "tag": "1.1.0", + "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "model-serving", "machine-learning" ], - "generationDate": "2021-11-18:12-28", - "doc": "" + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2022-08-28:17-25", + "example": "rnn_serving.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/rnn_serving/0.9.0/", + "item_uri": 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"marketplaceType": "", + "generationDate": "2021-05-19:23-13", + "example": "rnn_serving.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/rnn_serving/1.0.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/rnn_serving/0.0.1/", "assets": { "example": "src/rnn_serving.ipynb", "source": "src/rnn_serving.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [ + "keras" + ], + "kind": "serving", "filename": "rnn_serving.py", - "image": "mlrun/ml-models", "handler": "handler", - "requirements": null, - "kind": "serving" + "image": "mlrun/ml-models" }, "status": { "state": null @@ -7617,36 +7863,36 @@ "updated": null, "created": null, "source": "functions", - "version": "0.8.0", - "tag": "0.8.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": 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"requirements": null, + "kind": "serving", "filename": "rnn_serving.py", - "image": "mlrun/ml-models", "handler": "handler", - "requirements": null, - "kind": "serving" + "image": "mlrun/ml-models" }, "status": { "state": null @@ -7712,21 +7957,21 @@ "source": "functions", "version": "1.1.0", "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "tf1_serving.ipynb", "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "model-serving", "machine-learning" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "tf1_serving.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/tf1_serving/latest/", @@ -7736,15 +7981,15 @@ "function": "src/function.yaml", "docs": 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"kind": "nuclio:serving", + "filename": "tf1_serving.py", + "handler": "handler", + "requirements": [], + "image": "mlrun/mlrun" }, "status": { "state": null @@ -7861,40 +8106,41 @@ "updated": null, "created": null, "source": "functions", - "version": "0.9.0", - "tag": "0.9.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "tf1_serving.ipynb", - "mlrunVersion": "0.8.0", + "version": "1.1.0", + "tag": "1.1.0", + "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "model-serving", "machine-learning" ], - "generationDate": "2021-11-18:12-28", - "doc": "" + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2022-08-28:17-25", + "example": "tf1_serving.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/tf1_serving/0.9.0/", + "item_uri": 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"status": { "state": null @@ -7961,41 +8207,40 @@ "updated": null, "created": null, "source": "functions", - "version": "1.1.0", - "tag": "1.1.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "tf1_serving.ipynb", - "mlrunVersion": "1.1.0", + "version": "0.9.0", + "tag": "0.9.0", + "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "model-serving", "machine-learning" ], - "hidden": false, - "doc": "" + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-11-18:12-28", + "example": "tf1_serving.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/tf1_serving/1.1.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/tf1_serving/0.9.0/", "assets": { "example": "src/tf1_serving.ipynb", "source": "src/tf1_serving.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "tf1_serving.py", - "requirements": [], - "image": "mlrun/mlrun", - "handler": "handler", "env": { "ENABLE_EXPLAINER": false, "MODEL_CLASS": "TFModel" }, - "kind": "nuclio:serving" + "kind": "nuclio:serving", + "filename": "tf1_serving.py", + "handler": "handler", + "requirements": [], + "image": "mlrun/mlrun" }, "status": { "state": null @@ -8012,20 +8257,20 @@ "source": "functions", "version": "1.1.0", "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "model_monitoring_batch.ipynb", "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "monitoring" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "model_monitoring_batch.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/model_monitoring_batch/latest/", @@ -8035,11 +8280,11 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "model_monitoring_batch.py", - "image": "mlrun/mlrun", "handler": "handler", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -8054,35 +8299,35 @@ "updated": null, "created": null, "source": "functions", - "version": "0.0.1", - "tag": "0.0.1", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "", - "example": "model_monitoring_batch.ipynb", - "mlrunVersion": "", + "version": "0.9.1", + "tag": "0.9.1", + "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "monitoring" ], - "generationDate": "2021-05-19:23-13", - "doc": "" + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-11-18:12-28", + "example": "model_monitoring_batch.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/model_monitoring_batch/0.0.1/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/model_monitoring_batch/0.9.1/", "assets": { "example": "src/model_monitoring_batch.ipynb", "source": "src/model_monitoring_batch.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "model_monitoring_batch.py", - "image": "mlrun/mlrun", "handler": "handler", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -8097,35 +8342,35 @@ "updated": null, "created": null, "source": "functions", - "version": "0.9.1", - "tag": "0.9.1", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "model_monitoring_batch.ipynb", + "version": "0.8.0", + "tag": "0.8.0", "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "monitoring" ], + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", "generationDate": "2021-11-18:12-28", - "doc": "" + "example": "model_monitoring_batch.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/model_monitoring_batch/0.9.1/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/model_monitoring_batch/0.8.0/", "assets": { "example": "src/model_monitoring_batch.ipynb", "source": "src/model_monitoring_batch.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "model_monitoring_batch.py", - "image": "mlrun/mlrun", "handler": "handler", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -8140,35 +8385,36 @@ "updated": null, "created": null, "source": "functions", - "version": "0.9.0", - "tag": "0.9.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "model_monitoring_batch.ipynb", - "mlrunVersion": "0.8.0", + "version": "1.1.0", + "tag": "1.1.0", + "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "monitoring" ], - "generationDate": "2021-11-18:12-28", - "doc": "" + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2022-08-28:17-25", + "example": "model_monitoring_batch.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/model_monitoring_batch/0.9.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/model_monitoring_batch/1.1.0/", "assets": { "example": "src/model_monitoring_batch.ipynb", "source": "src/model_monitoring_batch.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "model_monitoring_batch.py", - "image": "mlrun/mlrun", "handler": "handler", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -8183,35 +8429,35 @@ "updated": null, "created": null, "source": "functions", - "version": "0.8.0", - "tag": "0.8.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "model_monitoring_batch.ipynb", - "mlrunVersion": "0.8.0", + "version": "0.0.1", + "tag": "0.0.1", + "mlrunVersion": "", + "doc": "", "categories": [ "monitoring" ], - "generationDate": "2021-11-18:12-28", - "doc": "" + "platformVersion": "", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-05-19:23-13", + "example": "model_monitoring_batch.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/model_monitoring_batch/0.8.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/model_monitoring_batch/0.0.1/", "assets": { "example": "src/model_monitoring_batch.ipynb", "source": "src/model_monitoring_batch.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "model_monitoring_batch.py", - "image": "mlrun/mlrun", "handler": "handler", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -8226,36 +8472,35 @@ "updated": null, "created": null, "source": "functions", - "version": "1.1.0", - "tag": "1.1.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "model_monitoring_batch.ipynb", - "mlrunVersion": "1.1.0", + "version": 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"version": "1.1.0", "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "open_archive.ipynb", "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "data-preparation" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "open_archive.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/open_archive/latest/", @@ -8297,11 +8542,11 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "open_archive.py", - "image": "mlrun/mlrun", "handler": "open_archive", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -8318,35 +8563,35 @@ "updated": null, 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"kind": "job", "filename": "open_archive.py", - "image": "mlrun/mlrun", "handler": "open_archive", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -8363,35 +8608,36 @@ "updated": null, "created": null, "source": "functions", - "version": "0.9.0", - "tag": "0.9.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "open_archive.ipynb", - "mlrunVersion": "0.8.0", + "version": "1.1.0", + "tag": "1.1.0", + "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "data-preparation" ], - "generationDate": "2021-11-18:12-28", - "doc": "" + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2022-08-28:17-25", + "example": "open_archive.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/open_archive/0.9.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/open_archive/1.1.0/", "assets": { "example": "src/open_archive.ipynb", "source": "src/open_archive.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "open_archive.py", - "image": "mlrun/mlrun", "handler": "open_archive", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -8408,35 +8654,35 @@ "updated": null, "created": null, "source": "functions", - "version": "0.8.0", - "tag": "0.8.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "open_archive.ipynb", - "mlrunVersion": "0.8.0", + "version": "0.0.1", + "tag": "0.0.1", + "mlrunVersion": "", + "doc": "", "categories": [ "data-preparation" ], - "generationDate": "2021-11-18:12-28", - "doc": "" + "platformVersion": "", + "icon": "", + "marketplaceType": "", + 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"iguazio/shell:3.0_b5565_20201026062233_wsdf", - "handler": "describe_spark", "requirements": [], - "kind": "job" + "kind": "job", + "filename": "describe_spark.py", + "handler": "describe_spark", + "image": "iguazio/shell:3.0_b5565_20201026062233_wsdf" }, "status": { "state": null @@ -9861,35 +10213,35 @@ "updated": null, "created": null, "source": "functions", - "version": "0.9.1", - "tag": "0.9.1", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "describe_spark.ipynb", + "version": "0.8.0", + "tag": "0.8.0", "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "data-analysis" ], + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", "generationDate": "2021-11-18:12-28", - "doc": "" + "example": "describe_spark.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/describe_spark/0.9.1/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/describe_spark/0.8.0/", "assets": { "example": "src/describe_spark.ipynb", - "source": "src/describe_spark.py", + "source": "src/describe-spark.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "describe_spark.py", - "image": "iguazio/shell:3.0_b5565_20201026062233_wsdf", - "handler": "describe_spark", "requirements": [], - "kind": "job" + "kind": "job", + "filename": "describe-spark.py", + "handler": "describe_spark", + "image": "iguazio/shell:3.0_b5565_20201026062233_wsdf" }, "status": { "state": null @@ -9904,35 +10256,36 @@ "updated": null, "created": null, "source": "functions", - "version": "0.9.0", - "tag": "0.9.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "describe_spark.ipynb", - "mlrunVersion": "0.8.0", + "version": "1.1.0", + "tag": "1.1.0", + "mlrunVersion": "1.1.0", + 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"iguazio/shell:3.0_b5565_20201026062233_wsdf" }, "status": { "state": null @@ -9947,35 +10300,35 @@ "updated": null, "created": null, "source": "functions", - "version": "0.8.0", - "tag": "0.8.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "describe_spark.ipynb", - "mlrunVersion": "0.8.0", + "version": "0.0.1", + "tag": "0.0.1", + "mlrunVersion": "", + "doc": "", "categories": [ "data-analysis" ], - "generationDate": "2021-11-18:12-28", - "doc": "" + "platformVersion": "", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-05-19:22-41", + "example": "describe_spark.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/describe_spark/0.8.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/describe_spark/0.0.1/", "assets": { "example": "src/describe_spark.ipynb", "source": "src/describe-spark.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "describe-spark.py", - "image": "iguazio/shell:3.0_b5565_20201026062233_wsdf", "handler": "describe_spark", - "requirements": [], - "kind": "job" + "image": "iguazio/shell:3.0_b5565_20201026062233_wsdf" }, "status": { "state": null @@ -9990,36 +10343,35 @@ "updated": null, "created": null, "source": "functions", - "version": "1.1.0", - "tag": "1.1.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "describe_spark.ipynb", - "mlrunVersion": "1.1.0", + "version": "0.9.0", + "tag": "0.9.0", + "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "data-analysis" ], - "hidden": false, - "doc": "" + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-11-18:12-28", + "example": "describe_spark.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/describe_spark/1.1.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/describe_spark/0.9.0/", "assets": { "example": "src/describe_spark.ipynb", - "source": "src/describe_spark.py", + "source": "src/describe-spark.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "describe_spark.py", - "image": "iguazio/shell:3.0_b5565_20201026062233_wsdf", - "handler": "describe_spark", "requirements": [], - "kind": "job" + "kind": "job", + "filename": "describe-spark.py", + "handler": "describe_spark", + "image": "iguazio/shell:3.0_b5565_20201026062233_wsdf" }, "status": { "state": null @@ -10036,20 +10388,20 @@ "source": "functions", "version": "1.1.0", "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - 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[], + "kind": "nuclio", "filename": "model_monitoring_stream.py", - "image": "mlrun/mlrun", "handler": "handler", - "requirements": [], - "kind": "nuclio" + "image": "livsmichael/mlrun-api:automation" }, "status": { "state": null @@ -10121,35 +10473,35 @@ "updated": null, "created": null, "source": "functions", - "version": "0.9.1", - "tag": "0.9.1", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "model_monitoring_stream.ipynb", + "version": "0.8.0", + "tag": "0.8.0", "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "monitoring" ], + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", "generationDate": "2021-11-18:12-28", - "doc": "" + "example": "model_monitoring_stream.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/model_monitoring_stream/0.9.1/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/model_monitoring_stream/0.8.0/", "assets": { "example": "src/model_monitoring_stream.ipynb", "source": "src/model_monitoring_stream.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "nuclio", "filename": "model_monitoring_stream.py", - "image": "livsmichael/mlrun-api:automation", "handler": "handler", - "requirements": [], - "kind": "nuclio" + "image": "livsmichael/mlrun-api:automation" }, "status": { "state": null @@ -10164,35 +10516,36 @@ "updated": null, "created": null, "source": "functions", - "version": "0.9.0", - "tag": "0.9.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "model_monitoring_stream.ipynb", - "mlrunVersion": "0.8.0", + "version": "1.1.0", + "tag": "1.1.0", + "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "monitoring" ], - "generationDate": "2021-11-18:12-28", - "doc": "" + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2022-08-28:17-25", + "example": "model_monitoring_stream.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/model_monitoring_stream/0.9.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/model_monitoring_stream/1.1.0/", "assets": { "example": "src/model_monitoring_stream.ipynb", "source": "src/model_monitoring_stream.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "nuclio", "filename": "model_monitoring_stream.py", - "image": "livsmichael/mlrun-api:automation", "handler": "handler", - "requirements": [], - "kind": "nuclio" + "image": "livsmichael/mlrun-api:automation" }, "status": { "state": null @@ -10207,35 +10560,35 @@ "updated": null, "created": null, "source": 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"static/documentation.html" }, + "requirements": [], + "kind": "nuclio", "filename": "model_monitoring_stream.py", - "image": "livsmichael/mlrun-api:automation", "handler": "handler", - "requirements": [], - "kind": "nuclio" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -10250,36 +10603,35 @@ "updated": null, "created": null, "source": "functions", - "version": "1.1.0", - "tag": "1.1.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "model_monitoring_stream.ipynb", - "mlrunVersion": "1.1.0", + "version": "0.9.0", + "tag": "0.9.0", + "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "monitoring" ], - "hidden": false, - "doc": "" + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-11-18:12-28", + "example": "model_monitoring_stream.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/model_monitoring_stream/1.1.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/model_monitoring_stream/0.9.0/", "assets": { "example": "src/model_monitoring_stream.ipynb", "source": "src/model_monitoring_stream.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "nuclio", "filename": "model_monitoring_stream.py", - "image": "livsmichael/mlrun-api:automation", "handler": "handler", - "requirements": [], - "kind": "nuclio" + "image": "livsmichael/mlrun-api:automation" }, "status": { "state": null @@ -10296,22 +10648,22 @@ "updated": null, "created": null, "source": "functions", - "version": "1.1.0", + "version": "1.2.0", "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "send_email.ipynb", - "mlrunVersion": "1.1.0", + "mlrunVersion": "1.4.1", + "doc": "", "categories": [ "utils" ], + "platformVersion": "3.5.3", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "send_email.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/send_email/latest/", @@ -10321,11 +10673,11 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "send_email.py", - "image": "mlrun/ml-models", "handler": "send_email", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -10342,35 +10694,36 @@ "updated": null, "created": null, "source": "functions", - "version": "0.0.1", - "tag": "0.0.1", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "", - "example": "send_email.ipynb", - "mlrunVersion": "", + "version": "1.2.0", + "tag": "1.2.0", + "mlrunVersion": "1.4.1", + "doc": "", "categories": [ "utils" ], - "generationDate": "2021-05-19:23-13", - "doc": "" + "platformVersion": "3.5.3", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2022-08-28:17-25", + "example": "send_email.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/send_email/0.0.1/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/send_email/1.2.0/", "assets": { "example": "src/send_email.ipynb", "source": "src/send_email.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "send_email.py", - "image": "mlrun/ml-models", "handler": "send_email", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -10387,35 +10740,35 @@ 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"mlrun/ml-models", "handler": "send_email", - "requirements": [], - "kind": "job" + "image": "mlrun/ml-models" }, "status": { "state": null @@ -10432,35 +10785,36 @@ "updated": null, "created": null, "source": "functions", - "version": "0.8.0", - "tag": "0.8.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "send_email.ipynb", - "mlrunVersion": "0.8.0", + "version": "1.1.0", + "tag": "1.1.0", + "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "utils" ], - "generationDate": "2021-11-18:12-28", - "doc": "" + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2022-08-28:17-25", + "example": "send_email.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/send_email/0.8.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/send_email/1.1.0/", "assets": { "example": "src/send_email.ipynb", "source": "src/send_email.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "send_email.py", - "image": "mlrun/ml-models", "handler": "send_email", - "requirements": [], - "kind": "job" + "image": "mlrun/ml-models" }, "status": { "state": null @@ -10477,36 +10831,35 @@ "updated": null, "created": null, "source": "functions", - "version": "1.1.0", - "tag": "1.1.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "send_email.ipynb", - "mlrunVersion": "1.1.0", + "version": "0.0.1", + "tag": "0.0.1", + "mlrunVersion": "", + "doc": "", "categories": [ "utils" ], - "hidden": false, - "doc": "" + "platformVersion": "", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-05-19:23-13", + "example": "send_email.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/send_email/1.1.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/send_email/0.0.1/", "assets": { "example": "src/send_email.ipynb", "source": "src/send_email.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "send_email.py", - "image": "mlrun/ml-models", "handler": "send_email", - "requirements": [], - "kind": "job" + "image": "mlrun/ml-models" }, "status": { "state": null @@ -10515,30 +10868,75 @@ { "kind": "HubItem", "metadata": { - "name": "arc-to-parquet", - "description": "retrieve remote archive, open and save as parquet", + "name": "send-email", + "description": "Send Email messages through SMTP server", "labels": { - "author": "yjb" + "author": "saarc" }, "updated": null, "created": null, "source": "functions", - "version": "1.2.0", - "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "arc_to_parquet.ipynb", - "mlrunVersion": "1.2.0", + "version": "0.9.0", + "tag": "0.9.0", + "mlrunVersion": "0.8.0", + "doc": "", + "categories": [ + "utils" + ], + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-11-18:12-28", + "example": "send_email.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" + }, + "spec": { + "item_uri": "https://mlrun.github.io/marketplace/functions/master/send_email/0.9.0/", + "assets": { + "example": "src/send_email.ipynb", + "source": "src/send_email.py", + "function": "src/function.yaml", + "docs": "static/documentation.html" + }, + "requirements": [], + "kind": "job", + "filename": "send_email.py", + "handler": "send_email", + "image": "mlrun/ml-models" + }, + "status": { + "state": null + } + }, + { + "kind": "HubItem", + "metadata": { + "name": "arc-to-parquet", + "description": "retrieve remote archive, open and save as parquet", + "labels": { + "author": "avi" + }, + "updated": null, + "created": null, + "source": "functions", + "version": "1.4.1", + "tag": "latest", + "mlrunVersion": "1.4.1", + "doc": "", "categories": [ "etl" ], + "platformVersion": "3.5.4", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "arc_to_parquet.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/arc_to_parquet/latest/", @@ -10548,11 +10946,11 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "arc_to_parquet.py", - "image": "mlrun/ml-base", "handler": "arc_to_parquet", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -10569,35 +10967,36 @@ "updated": null, "created": null, "source": "functions", - "version": "0.0.1", - "tag": "0.0.1", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "2.10.0", - "example": "arc_to_parquet.ipynb", - "mlrunVersion": "0.5.4", + "version": "1.2.0", + "tag": "1.2.0", + "mlrunVersion": "1.2.0", + "doc": "", "categories": [ "etl" ], - "generationDate": "2021-05-19:22-04", - "doc": "" + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2022-08-28:17-25", + "example": "arc_to_parquet.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/arc_to_parquet/0.0.1/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/arc_to_parquet/1.2.0/", "assets": { "example": "src/arc_to_parquet.ipynb", "source": "src/arc_to_parquet.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "arc_to_parquet.py", - "image": "mlrun/ml-base", "handler": "arc_to_parquet", - "requirements": [], - "kind": "job" + "image": "mlrun/ml-base" }, "status": { "state": null @@ -10614,35 +11013,35 @@ "updated": null, "created": null, "source": "functions", - "version": "0.9.0", - "tag": "0.9.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "arc_to_parquet.ipynb", + "version": "0.8.0", + "tag": "0.8.0", "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "etl" ], + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", "generationDate": "2021-11-18:12-28", - "doc": "" + "example": "arc_to_parquet.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/arc_to_parquet/0.9.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/arc_to_parquet/0.8.0/", "assets": { "example": "src/arc_to_parquet.ipynb", "source": "src/arc_to_parquet.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "arc_to_parquet.py", - "image": "mlrun/ml-base", "handler": "arc_to_parquet", - "requirements": [], - "kind": "job" + "image": "mlrun/ml-base" }, "status": { "state": null @@ -10659,36 +11058,35 @@ "updated": null, "created": null, "source": "functions", - "version": "1.2.0", - "tag": "1.2.0", - "maintainers": [], + "version": "1.1.0", + "tag": "1.1.0", + "mlrunVersion": "1.1.0", + "doc": "", + "categories": [ + "etl" + ], + "platformVersion": "3.5.0", "icon": "", - "url": "", - "apiVersion": "v1", "marketplaceType": "", - "platformVersion": "3.5.0", "generationDate": "2022-08-28:17-25", "example": "arc_to_parquet.ipynb", - "mlrunVersion": "1.2.0", - "categories": [ - "etl" - ], - "hidden": false, - "doc": "" + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/arc_to_parquet/1.2.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/arc_to_parquet/1.1.0/", "assets": { "example": "src/arc_to_parquet.ipynb", "source": "src/arc_to_parquet.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "arc_to_parquet.py", - "image": "mlrun/ml-base", "handler": "arc_to_parquet", - "requirements": [], - "kind": "job" + "image": "mlrun/ml-base" }, "status": { "state": null @@ -10705,35 +11103,35 @@ "updated": null, "created": null, "source": "functions", - "version": "0.8.0", - "tag": "0.8.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "arc_to_parquet.ipynb", - "mlrunVersion": "0.8.0", + "version": "0.0.1", + "tag": "0.0.1", + "mlrunVersion": "0.5.4", + "doc": "", "categories": [ "etl" ], - "generationDate": "2021-11-18:12-28", - "doc": "" + "platformVersion": "2.10.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-05-19:22-04", + "example": "arc_to_parquet.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/arc_to_parquet/0.8.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/arc_to_parquet/0.0.1/", "assets": { "example": "src/arc_to_parquet.ipynb", "source": "src/arc_to_parquet.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "arc_to_parquet.py", - "image": "mlrun/ml-base", "handler": "arc_to_parquet", - "requirements": [], - "kind": "job" + "image": "mlrun/ml-base" }, "status": { "state": null @@ -10750,35 +11148,35 @@ "updated": null, "created": null, "source": "functions", - "version": "1.1.0", - "tag": "1.1.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "example": "arc_to_parquet.ipynb", - "mlrunVersion": "1.1.0", + "version": "0.9.0", + "tag": "0.9.0", + "mlrunVersion": "0.8.0", + "doc": "", "categories": [ "etl" ], - "generationDate": "2022-08-28:17-25", - "doc": "" + "platformVersion": "3.2.0", + "icon": "", + "marketplaceType": "", + "generationDate": "2021-11-18:12-28", + "example": "arc_to_parquet.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/arc_to_parquet/1.1.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/arc_to_parquet/0.9.0/", "assets": { "example": "src/arc_to_parquet.ipynb", "source": "src/arc_to_parquet.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "arc_to_parquet.py", - "image": "mlrun/ml-base", "handler": "arc_to_parquet", - "requirements": [], - "kind": "job" + "image": "mlrun/ml-base" }, "status": { "state": null @@ -10787,45 +11185,44 @@ { "kind": "HubItem", "metadata": { - "name": "snowflake-dask", - "description": "Snowflake Dask - Ingest snowflake data in parallel with Dask cluster", + "name": "arc-to-parquet", + "description": "retrieve remote archive, open and save as parquet", "labels": { - "author": "xingsheng", - "framework": "dask" + "author": "avi" }, "updated": null, "created": null, "source": "functions", - "version": "1.1.0", - "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "snowflake-dask-mlrun.ipynb", - "mlrunVersion": "1.1.0", + "version": "1.4.1", + "tag": "1.4.1", + "mlrunVersion": "1.4.1", + "doc": "", "categories": [ - "data-preparation" + "etl" ], + "platformVersion": "3.5.4", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "arc_to_parquet.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/snowflake_dask/latest/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/arc_to_parquet/1.4.1/", "assets": { - "example": "src/snowflake-dask-mlrun.ipynb", - "source": "src/snowflake_dask.py", + "example": "src/arc_to_parquet.ipynb", + "source": "src/arc_to_parquet.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "snowflake_dask.py", - "image": "mlrun/mlrun", - "handler": "load_results", "requirements": [], - "kind": "job" + "kind": "job", + "filename": "arc_to_parquet.py", + "handler": "arc_to_parquet", + "image": "mlrun/mlrun" }, "status": { "state": null @@ -10843,35 +11240,36 @@ "updated": null, "created": null, "source": "functions", - "version": "0.9.0", - "tag": "0.9.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.2.0", - "example": "snowflake-dask-mlrun.ipynb", - "mlrunVersion": "0.9.1", + "version": "1.1.0", + "tag": "latest", + "mlrunVersion": "1.4.1", + "doc": "", "categories": [ "data-preparation" ], - "generationDate": "2022-03-20:12-28", - "doc": "" + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2022-08-28:17-25", + "example": "snowflake-dask-mlrun.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/snowflake_dask/0.9.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/snowflake_dask/latest/", "assets": { "example": "src/snowflake-dask-mlrun.ipynb", "source": "src/snowflake_dask.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "snowflake_dask.py", - "image": "mlrun/mlrun", "handler": "load_results", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -10891,20 +11289,20 @@ "source": "functions", "version": "1.1.0", "tag": "1.1.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "snowflake-dask-mlrun.ipynb", - "mlrunVersion": "1.1.0", + "mlrunVersion": "1.4.1", + "doc": "", "categories": [ "data-preparation" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "snowflake-dask-mlrun.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/snowflake_dask/1.1.0/", @@ -10914,11 +11312,11 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "snowflake_dask.py", - "image": "mlrun/mlrun", "handler": "load_results", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -10927,31 +11325,77 @@ { "kind": "HubItem", "metadata": { - "name": "azureml-serving", - "description": "AzureML serving function", + "name": "snowflake-dask", + "description": "Snowflake Dask - Ingest snowflake data in parallel with Dask cluster", "labels": { - "author": "yonish" - }, + "author": "xingsheng", + "framework": "dask" + }, "updated": null, "created": null, "source": "functions", - "version": "1.1.0", - "tag": "latest", - "maintainers": [], + "version": "0.9.0", + "tag": "0.9.0", + "mlrunVersion": "0.9.1", + "doc": "", + "categories": [ + "data-preparation" + ], + "platformVersion": "3.2.0", "icon": "", - "url": "", - "apiVersion": "v1", "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "azureml_serving.ipynb", + "generationDate": "2022-03-20:12-28", + "example": "snowflake-dask-mlrun.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" + }, + "spec": { + "item_uri": "https://mlrun.github.io/marketplace/functions/master/snowflake_dask/0.9.0/", + "assets": { + "example": "src/snowflake-dask-mlrun.ipynb", + "source": "src/snowflake_dask.py", + "function": "src/function.yaml", + "docs": "static/documentation.html" + }, + "requirements": [], + "kind": "job", + "filename": "snowflake_dask.py", + "handler": "load_results", + "image": "mlrun/mlrun" + }, + "status": { + "state": null + } + }, + { + "kind": "HubItem", + "metadata": { + "name": "azureml-serving", + "description": "AzureML serving function", + "labels": { + "author": "yonish" + }, + "updated": null, + "created": null, + "source": "functions", + "version": "1.1.0", + "tag": "latest", "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "machine-learning", "model-serving" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "azureml_serving.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/azureml_serving/latest/", @@ -10961,15 +11405,15 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, - "customFields": { - "default_class": "mlrun.frameworks.sklearn.PickleModelServer" - }, - "filename": "azureml_serving.py", - "image": "mlrun/mlrun", "requirements": [ "azureml-automl-runtime~=1.38.1" ], - "kind": "serving" + "kind": "serving", + "filename": "azureml_serving.py", + "customFields": { + "default_class": "mlrun.frameworks.sklearn.PickleModelServer" + }, + "image": "mlrun/mlrun" }, "status": { "state": null @@ -10988,21 +11432,21 @@ "source": "functions", "version": "1.1.0", "tag": "1.1.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "azureml_serving.ipynb", "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "machine-learning", "model-serving" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "azureml_serving.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/azureml_serving/1.1.0/", @@ -11012,15 +11456,15 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, - "customFields": { - "default_class": "mlrun.frameworks.sklearn.PickleModelServer" - }, - "filename": "azureml_serving.py", - "image": "mlrun/mlrun", "requirements": [ "azureml-automl-runtime~=1.38.1" ], - "kind": "serving" + "kind": "serving", + "filename": "azureml_serving.py", + "customFields": { + "default_class": "mlrun.frameworks.sklearn.PickleModelServer" + }, + "image": "mlrun/mlrun" }, "status": { "state": null @@ -11037,22 +11481,22 @@ "updated": null, "created": null, "source": "functions", - "version": "1.4.0", + "version": "1.6.0", "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "batch_inference.ipynb", - "mlrunVersion": "1.2.0", + "mlrunVersion": "1.4.1", + "doc": "", "categories": [ "utils" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "batch_inference.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/batch_inference/latest/", @@ -11062,18 +11506,18 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "batch_inference.py", - "requirements": null, - "image": "mlrun/mlrun", - "handler": "infer", "kind": "job", + "filename": "batch_inference.py", "extra_spec": { "allow_empty_resources": true, "build": { "auto_build": false, "with_mlrun": false } - } + }, + "handler": "infer", + "requirements": null, + "image": "mlrun/ml-models" }, "status": { "state": null @@ -11092,19 +11536,19 @@ "source": "functions", "version": "1.1.1", "tag": "1.1.1", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "example": "batch_inference.ipynb", "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "utils" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "generationDate": "2022-08-28:17-25", - "doc": "" + "example": "batch_inference.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/batch_inference/1.1.1/", @@ -11114,21 +11558,21 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "batch_inference.py", - "requirements": [ - "scikit-learn", - "plotly" - ], - "image": "mlrun/ml-models", - "handler": "infer", "kind": "job", + "filename": "batch_inference.py", "extra_spec": { "allow_empty_resources": true, "build": { "auto_build": true, "with_mlrun": false } - } + }, + "handler": "infer", + "requirements": [ + "scikit-learn", + "plotly" + ], + "image": "mlrun/ml-models" }, "status": { "state": null @@ -11147,20 +11591,20 @@ "source": "functions", "version": "1.4.0", "tag": "1.4.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "batch_inference.ipynb", "mlrunVersion": "1.2.0", + "doc": "", "categories": [ "utils" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "batch_inference.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/batch_inference/1.4.0/", @@ -11170,18 +11614,18 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "batch_inference.py", - "requirements": null, - "image": "mlrun/mlrun", - "handler": "infer", "kind": "job", + "filename": "batch_inference.py", "extra_spec": { "allow_empty_resources": true, "build": { "auto_build": false, "with_mlrun": false } - } + }, + "handler": "infer", + "requirements": null, + "image": "mlrun/mlrun" }, "status": { "state": null @@ -11198,43 +11642,43 @@ "updated": null, "created": null, "source": "functions", - "version": "1.2.0", - "tag": "1.2.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "batch_inference.ipynb", + "version": "1.5.0", + "tag": "1.5.0", "mlrunVersion": "1.2.0", + "doc": "", "categories": [ "utils" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "batch_inference.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/batch_inference/1.2.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/batch_inference/1.5.0/", "assets": { "example": "src/batch_inference.ipynb", "source": "src/batch_inference.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "batch_inference.py", - "requirements": null, - "image": "mlrun/ml-models", - "handler": "infer", "kind": "job", + "filename": "batch_inference.py", "extra_spec": { "allow_empty_resources": true, "build": { "auto_build": false, "with_mlrun": false } - } + }, + "handler": "infer", + "requirements": null, + "image": "mlrun/ml-models" }, "status": { "state": null @@ -11251,43 +11695,43 @@ "updated": null, "created": null, "source": "functions", - "version": "1.3.0", - "tag": "1.3.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "batch_inference.ipynb", + "version": "1.2.0", + "tag": "1.2.0", "mlrunVersion": "1.2.0", + "doc": "", "categories": [ "utils" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "batch_inference.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/batch_inference/1.3.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/batch_inference/1.2.0/", "assets": { "example": "src/batch_inference.ipynb", "source": "src/batch_inference.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "batch_inference.py", - "requirements": null, - "image": "mlrun/ml-models", - "handler": "infer", "kind": "job", + "filename": "batch_inference.py", "extra_spec": { "allow_empty_resources": true, "build": { "auto_build": false, "with_mlrun": false } - } + }, + "handler": "infer", + "requirements": null, + "image": "mlrun/ml-models" }, "status": { "state": null @@ -11306,19 +11750,19 @@ "source": "functions", "version": "1.1.0", "tag": "1.1.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "example": "batch_inference.ipynb", "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "utils" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "generationDate": "2022-08-28:17-25", - "doc": "" + "example": "batch_inference.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/batch_inference/1.1.0/", @@ -11328,21 +11772,21 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "batch_inference.py", - "requirements": [ - "scikit-learn", - "plotly" - ], - "image": "mlrun/ml-models", - "handler": "infer", "kind": "job", + "filename": "batch_inference.py", "extra_spec": { "allow_empty_resources": true, "build": { "auto_build": true, "with_mlrun": false } - } + }, + "handler": "infer", + "requirements": [ + "scikit-learn", + "plotly" + ], + "image": "mlrun/ml-models" }, "status": { "state": null @@ -11351,31 +11795,137 @@ { "kind": "HubItem", "metadata": { - "name": "hugging-face-serving", - "description": "Generic Hugging Face model server.", + "name": "batch-inference", + "description": "Batch inference (also knows as prediction) for the common ML frameworks (SciKit-Learn, XGBoost and LightGBM) while performing data drift analysis.", "labels": { - "author": "yonish" + "author": "guyl" }, "updated": null, "created": null, "source": "functions", - "version": "1.0.0", - "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "", - "generationDate": "2022-09-05:17-00", - "example": "hugging_face_serving.ipynb", - "mlrunVersion": "1.1.0", + "version": "1.3.0", + "tag": "1.3.0", + "mlrunVersion": "1.2.0", + "doc": "", "categories": [ - "model-serving", - "machine-learning" + "utils" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2022-08-28:17-25", + "example": "batch_inference.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" + }, + "spec": { + "item_uri": "https://mlrun.github.io/marketplace/functions/master/batch_inference/1.3.0/", + "assets": { + "example": "src/batch_inference.ipynb", + "source": "src/batch_inference.py", + "function": "src/function.yaml", + "docs": "static/documentation.html" + }, + "kind": "job", + "filename": "batch_inference.py", + "extra_spec": { + "allow_empty_resources": true, + "build": { + "auto_build": false, + "with_mlrun": false + } + }, + "handler": "infer", + "requirements": null, + "image": "mlrun/ml-models" + }, + "status": { + "state": null + } + }, + { + "kind": "HubItem", + "metadata": { + "name": "batch-inference", + "description": "Batch inference (also knows as prediction) for the common ML frameworks (SciKit-Learn, XGBoost and LightGBM) while performing data drift analysis.", + "labels": { + "author": "guyl" + }, + "updated": null, + "created": null, + "source": "functions", + "version": "1.6.0", + "tag": "1.6.0", + "mlrunVersion": "1.4.1", + "doc": "", + "categories": [ + "utils" + ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2022-08-28:17-25", + "example": "batch_inference.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" + }, + "spec": { + "item_uri": "https://mlrun.github.io/marketplace/functions/master/batch_inference/1.6.0/", + "assets": { + "example": "src/batch_inference.ipynb", + "source": "src/batch_inference.py", + "function": "src/function.yaml", + "docs": "static/documentation.html" + }, + "kind": "job", + "filename": "batch_inference.py", + "extra_spec": { + "allow_empty_resources": true, + "build": { + "auto_build": false, + "with_mlrun": false + } + }, + "handler": "infer", + "requirements": null, + "image": "mlrun/ml-models" + }, + "status": { + "state": null + } + }, + { + "kind": "HubItem", + "metadata": { + "name": "hugging-face-serving", + "description": "Generic Hugging Face model server.", + "labels": { + "author": "yonish" + }, + "updated": null, + "created": null, + "source": "functions", + "version": "1.0.0", + "tag": "latest", + "mlrunVersion": "1.1.0", + "doc": "", + "categories": [ + "model-serving", + "machine-learning" + ], + "platformVersion": "", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-09-05:17-00", + "example": "hugging_face_serving.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/hugging_face_serving/latest/", @@ -11385,17 +11935,17 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, + "kind": "serving", "filename": "hugging_face_serving.py", - "requirements": [ - "transformers==4.21.3", - "tensorflow==2.9.2" - ], "customFields": { "default_class": "HuggingFaceModelServer" }, - "image": "mlrun/ml-models", "handler": "handler", - "kind": "serving" + "requirements": [ + "transformers==4.21.3", + "tensorflow==2.9.2" + ], + "image": "mlrun/ml-models" }, "status": { "state": null @@ -11414,21 +11964,21 @@ "source": "functions", "version": "1.0.0", "tag": "1.0.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "", - "generationDate": "2022-09-05:17-00", - "example": "hugging_face_serving.ipynb", "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "model-serving", "machine-learning" ], + "platformVersion": "", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-09-05:17-00", + "example": "hugging_face_serving.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/hugging_face_serving/1.0.0/", @@ -11438,17 +11988,17 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, + "kind": "serving", "filename": "hugging_face_serving.py", - "requirements": [ - "transformers==4.21.3", - "tensorflow==2.9.2" - ], "customFields": { "default_class": "HuggingFaceModelServer" }, - "image": "mlrun/ml-models", "handler": "handler", - "kind": "serving" + "requirements": [ + "transformers==4.21.3", + "tensorflow==2.9.2" + ], + "image": "mlrun/ml-models" }, "status": { "state": null @@ -11467,21 +12017,21 @@ "source": "functions", "version": "0.1.0", "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "hugging_face_classifier_trainer.ipynb", "mlrunVersion": "1.2.0", + "doc": "", "categories": [ "machine-learning", "model-training" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "hugging_face_classifier_trainer.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/hugging_face_classifier_trainer/latest/", @@ -11491,9 +12041,6 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "hugging_face_classifier_trainer.py", - "image": "mlrun/ml-models", - "handler": "train", "requirements": [ "onnx~=1.10.1", "onnxruntime~=1.8.1", @@ -11502,7 +12049,10 @@ "datasets~=2.10.1", "scikit-learn~=1.0.2" ], - "kind": "job" + "kind": "job", + "filename": "hugging_face_classifier_trainer.py", + "handler": "train", + "image": "mlrun/ml-models" }, "status": { "state": null @@ -11519,35 +12069,32 @@ "updated": null, "created": null, "source": "functions", - "version": "0.0.1", - "tag": "0.0.1", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "hugging_face_classifier_trainer.ipynb", + "version": "0.1.0", + "tag": "0.1.0", "mlrunVersion": "1.2.0", + "doc": "", "categories": [ "machine-learning", "model-training" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "hugging_face_classifier_trainer.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/hugging_face_classifier_trainer/0.0.1/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/hugging_face_classifier_trainer/0.1.0/", "assets": { "example": "src/hugging_face_classifier_trainer.ipynb", "source": "src/hugging_face_classifier_trainer.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "hugging_face_classifier_trainer.py", - "image": "mlrun/ml-models", - "handler": "train", "requirements": [ "onnx~=1.10.1", "onnxruntime~=1.8.1", @@ -11556,7 +12103,10 @@ "datasets~=2.10.1", "scikit-learn~=1.0.2" ], - "kind": "job" + "kind": "job", + "filename": "hugging_face_classifier_trainer.py", + "handler": "train", + "image": "mlrun/ml-models" }, "status": { "state": null @@ -11573,35 +12123,32 @@ "updated": null, "created": null, "source": "functions", - "version": "0.1.0", - "tag": "0.1.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2022-08-28:17-25", - "example": "hugging_face_classifier_trainer.ipynb", + "version": "0.0.1", + "tag": "0.0.1", "mlrunVersion": "1.2.0", + "doc": "", "categories": [ "machine-learning", "model-training" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-08-28:17-25", + "example": "hugging_face_classifier_trainer.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/hugging_face_classifier_trainer/0.1.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/hugging_face_classifier_trainer/0.0.1/", "assets": { "example": "src/hugging_face_classifier_trainer.ipynb", "source": "src/hugging_face_classifier_trainer.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "hugging_face_classifier_trainer.py", - "image": "mlrun/ml-models", - "handler": "train", "requirements": [ "onnx~=1.10.1", "onnxruntime~=1.8.1", @@ -11610,7 +12157,10 @@ "datasets~=2.10.1", "scikit-learn~=1.0.2" ], - "kind": "job" + "kind": "job", + "filename": "hugging_face_classifier_trainer.py", + "handler": "train", + "image": "mlrun/ml-models" }, "status": { "state": null @@ -11630,21 +12180,21 @@ "source": "functions", "version": "1.1.0", "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.2", - "generationDate": "2022-04-26:12-28", - "example": "validate_great_expectations.ipynb", "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "data-validation", "data-analysis" ], + "platformVersion": "3.5.2", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-04-26:12-28", + "example": "validate_great_expectations.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/validate_great_expectations/latest/", @@ -11654,13 +12204,13 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "validate_great_expectations.py", - "image": "mlrun/mlrun", - "handler": "validate_expectations", "requirements": [ "great-expectations==0.15.41" ], - "kind": "job" + "kind": "job", + "filename": "validate_great_expectations.py", + "handler": "validate_expectations", + "image": "mlrun/mlrun" }, "status": { "state": null @@ -11680,21 +12230,21 @@ "source": "functions", "version": "1.1.0", "tag": "1.1.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.2", - "generationDate": "2022-04-26:12-28", - "example": "validate_great_expectations.ipynb", "mlrunVersion": "1.1.0", + "doc": "", "categories": [ "data-validation", "data-analysis" ], + "platformVersion": "3.5.2", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2022-04-26:12-28", + "example": "validate_great_expectations.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/validate_great_expectations/1.1.0/", @@ -11704,13 +12254,13 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "validate_great_expectations.py", - "image": "mlrun/mlrun", - "handler": "validate_expectations", "requirements": [ "great-expectations==0.15.41" ], - "kind": "job" + "kind": "job", + "filename": "validate_great_expectations.py", + "handler": "validate_expectations", + "image": "mlrun/mlrun" }, "status": { "state": null @@ -11729,20 +12279,20 @@ "source": "functions", "version": "0.2.0", "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2023-08-07:11-30", - "example": "question_answering.ipynb", "mlrunVersion": "1.4.0", + "doc": "", "categories": [ "machine-learning" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2023-08-07:11-30", + "example": "question_answering.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/question_answering/latest/", @@ -11752,11 +12302,11 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "question_answering.py", - "image": "mlrun/mlrun", - "handler": "answer_questions", "requirements": "transformers torch tqdm", - "kind": "job" + "kind": "job", + "filename": "question_answering.py", + "handler": "answer_questions", + "image": "mlrun/mlrun" }, "status": { "state": null @@ -11775,20 +12325,20 @@ "source": "functions", "version": "0.2.0", "tag": "0.2.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2023-08-07:11-30", - "example": "question_answering.ipynb", "mlrunVersion": "1.4.0", + "doc": "", "categories": [ "machine-learning" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2023-08-07:11-30", + "example": "question_answering.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/question_answering/0.2.0/", @@ -11798,11 +12348,11 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": "transformers torch tqdm", + "kind": "job", "filename": "question_answering.py", - "image": "mlrun/mlrun", "handler": "answer_questions", - "requirements": "transformers torch tqdm", - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -11821,20 +12371,20 @@ "source": "functions", "version": "0.1.0", "tag": "0.1.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2023-08-07:11-30", - "example": "question_answering.ipynb", "mlrunVersion": "1.4.0", + "doc": "", "categories": [ "machine-learning" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2023-08-07:11-30", + "example": "question_answering.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/question_answering/0.1.0/", @@ -11844,11 +12394,11 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": "transformers torch tqdm", + "kind": "job", "filename": "question_answering.py", - "image": "mlrun/mlrun", "handler": "answer_questions", - "requirements": "transformers torch tqdm", - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -11867,21 +12417,22 @@ "source": "functions", "version": "0.0.1", "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.3", - "generationDate": "2023-07-13:11-20", - "example": "transcribe.ipynb", "mlrunVersion": "1.4.0", + "doc": "", "categories": [ "data-preparation", "machine-learning" ], + "platformVersion": "3.5.3", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2023-07-13:11-20", + "example": "transcribe.ipynb", + "test_valid": false, + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/transcribe/latest/", @@ -11891,14 +12442,14 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "transcribe.py", - "image": "mlrun/mlrun", - "handler": "transcribe", "requirements": [ "openai-whisper", "tqdm" ], - "kind": "job" + "kind": "job", + "filename": "transcribe.py", + "handler": "transcribe", + "image": "mlrun/mlrun" }, "status": { "state": null @@ -11917,21 +12468,22 @@ "source": "functions", "version": "0.0.1", "tag": "0.0.1", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.3", - "generationDate": "2023-07-13:11-20", - "example": "transcribe.ipynb", "mlrunVersion": "1.4.0", + "doc": "", "categories": [ "data-preparation", "machine-learning" ], + "platformVersion": "3.5.3", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2023-07-13:11-20", + "example": "transcribe.ipynb", + "test_valid": false, + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/transcribe/0.0.1/", @@ -11941,14 +12493,14 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "transcribe.py", - "image": "mlrun/mlrun", - "handler": "transcribe", "requirements": [ "openai-whisper", "tqdm" ], - "kind": "job" + "kind": "job", + "filename": "transcribe.py", + "handler": "transcribe", + "image": "mlrun/mlrun" }, "status": { "state": null @@ -11967,21 +12519,22 @@ "source": "functions", "version": "0.1.0", "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.3", - "generationDate": "2023-08-15:10-24", - "example": "pii_recognizer.ipynb", "mlrunVersion": "1.4.0", + "doc": "", "categories": [ "machine-learning", "data-preparation" ], + "platformVersion": "3.5.3", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2023-08-15:10-24", + "example": "pii_recognizer.ipynb", + "test_valid": false, + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/pii_recognizer/latest/", @@ -11991,9 +12544,6 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "pii_recognizer.py", - "image": "mlrun/mlrun", - "handler": "recognize_pii", "requirements": [ "nltk", "pandas", @@ -12004,7 +12554,10 @@ "st-annotated-text", "https://huggingface.co/beki/en_spacy_pii_distilbert/resolve/main/en_spacy_pii_distilbert-any-py3-none-any.whl" ], - "kind": "job" + "kind": "job", + "filename": "pii_recognizer.py", + "handler": "recognize_pii", + "image": "mlrun/mlrun" }, "status": { "state": null @@ -12021,35 +12574,33 @@ "updated": null, "created": null, "source": "functions", - "version": "0.0.1", - "tag": "0.0.1", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.3", - "generationDate": "2023-08-15:10-24", - "example": "pii_recognizer.ipynb", + "version": "0.1.0", + "tag": "0.1.0", "mlrunVersion": "1.4.0", + "doc": "", "categories": [ "machine-learning", "data-preparation" ], + "platformVersion": "3.5.3", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2023-08-15:10-24", + "example": "pii_recognizer.ipynb", + "test_valid": false, + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/pii_recognizer/0.0.1/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/pii_recognizer/0.1.0/", "assets": { "example": "src/pii_recognizer.ipynb", "source": "src/pii_recognizer.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "pii_recognizer.py", - "image": "mlrun/mlrun", - "handler": "recognize_pii", "requirements": [ "nltk", "pandas", @@ -12060,7 +12611,10 @@ "st-annotated-text", "https://huggingface.co/beki/en_spacy_pii_distilbert/resolve/main/en_spacy_pii_distilbert-any-py3-none-any.whl" ], - "kind": "job" + "kind": "job", + "filename": "pii_recognizer.py", + "handler": "recognize_pii", + "image": "mlrun/mlrun" }, "status": { "state": null @@ -12077,35 +12631,32 @@ "updated": null, "created": null, "source": "functions", - "version": "0.1.0", - "tag": "0.1.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.3", - "generationDate": "2023-08-15:10-24", - "example": "pii_recognizer.ipynb", + "version": "0.0.1", + "tag": "0.0.1", "mlrunVersion": "1.4.0", + "doc": "", "categories": [ "machine-learning", "data-preparation" ], + "platformVersion": "3.5.3", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2023-08-15:10-24", + "example": "pii_recognizer.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { - "item_uri": "https://mlrun.github.io/marketplace/functions/master/pii_recognizer/0.1.0/", + "item_uri": "https://mlrun.github.io/marketplace/functions/master/pii_recognizer/0.0.1/", "assets": { "example": "src/pii_recognizer.ipynb", "source": "src/pii_recognizer.py", "function": "src/function.yaml", "docs": "static/documentation.html" }, - "filename": "pii_recognizer.py", - "image": "mlrun/mlrun", - "handler": "recognize_pii", "requirements": [ "nltk", "pandas", @@ -12116,7 +12667,10 @@ "st-annotated-text", "https://huggingface.co/beki/en_spacy_pii_distilbert/resolve/main/en_spacy_pii_distilbert-any-py3-none-any.whl" ], - "kind": "job" + "kind": "job", + "filename": "pii_recognizer.py", + "handler": "recognize_pii", + "image": "mlrun/mlrun" }, "status": { "state": null @@ -12135,21 +12689,21 @@ "source": "functions", "version": "1.0.0", "tag": "latest", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2023-08-21:17-25", - "example": "huggingface_auto_trainer.ipynb", "mlrunVersion": "1.4.0", + "doc": "", "categories": [ "machine-learning", "model-training" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2023-08-21:17-25", + "example": "huggingface_auto_trainer.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/huggingface_auto_trainer/latest/", @@ -12159,11 +12713,11 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "huggingface_auto_trainer.py", - "image": "mlrun/mlrun", "handler": "finetune_llm", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" }, "status": { "state": null @@ -12182,21 +12736,21 @@ "source": "functions", "version": "1.0.0", "tag": "1.0.0", - "maintainers": [], - "icon": "", - "url": "", - "apiVersion": "v1", - "marketplaceType": "", - "platformVersion": "3.5.0", - "generationDate": "2023-08-21:17-25", - "example": "huggingface_auto_trainer.ipynb", "mlrunVersion": "1.4.0", + "doc": "", "categories": [ "machine-learning", "model-training" ], + "platformVersion": "3.5.0", + "icon": "", + "marketplaceType": "", "hidden": false, - "doc": "" + "generationDate": "2023-08-21:17-25", + "example": "huggingface_auto_trainer.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" }, "spec": { "item_uri": "https://mlrun.github.io/marketplace/functions/master/huggingface_auto_trainer/1.0.0/", @@ -12206,11 +12760,341 @@ "function": "src/function.yaml", "docs": "static/documentation.html" }, + "requirements": [], + "kind": "job", "filename": "huggingface_auto_trainer.py", - "image": "mlrun/mlrun", "handler": "finetune_llm", - "requirements": [], - "kind": "job" + "image": "mlrun/mlrun" + }, + "status": { + "state": null + } + }, + { + "kind": "HubItem", + "metadata": { + "name": "batch-inference-v2", + "description": "Batch inference (also knows as prediction) for the common ML frameworks (SciKit-Learn, XGBoost and LightGBM) while performing data drift analysis.", + "labels": { + "author": "eyald" + }, + "updated": null, + "created": null, + "source": "functions", + "version": "2.0.0", + "tag": "latest", + "mlrunVersion": "1.5.0", + "doc": "", + "categories": [ + "utils", + "data-analysis", + "monitoring" + ], + "platformVersion": "3.5.3", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2023-08-07:12-25", + "example": "batch_inference_v2.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" + }, + "spec": { + "item_uri": "https://mlrun.github.io/marketplace/functions/master/batch_inference_v2/latest/", + "assets": { + "example": "src/batch_inference_v2.ipynb", + "source": "src/batch_inference_v2.py", + "function": "src/function.yaml", + "docs": "static/documentation.html" + }, + "kind": "job", + "filename": "batch_inference_v2.py", + "extra_spec": { + "allow_empty_resources": true, + "build": { + "auto_build": false, + "with_mlrun": false + } + }, + "handler": "infer", + "requirements": null, + "image": "mlrun/mlrun" + }, + "status": { + "state": null + } + }, + { + "kind": "HubItem", + "metadata": { + "name": "batch-inference-v2", + "description": "Batch inference (also knows as prediction) for the common ML frameworks (SciKit-Learn, XGBoost and LightGBM) while performing data drift analysis.", + "labels": { + "author": "eyald" + }, + "updated": null, + "created": null, + "source": "functions", + "version": "1.5.0", + "tag": "1.5.0", + "mlrunVersion": "1.5.0-rc9", + "doc": "", + "categories": [ + "utils", + "data-analysis", + "monitoring" + ], + "platformVersion": "3.5.3", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2023-08-07:12-25", + "example": "batch_inference_v2.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" + }, + "spec": { + "item_uri": "https://mlrun.github.io/marketplace/functions/master/batch_inference_v2/1.5.0/", + "assets": { + "example": "src/batch_inference_v2.ipynb", + "source": "src/batch_inference_v2.py", + "function": "src/function.yaml", + "docs": "static/documentation.html" + }, + "kind": "job", + "filename": "batch_inference_v2.py", + "extra_spec": { + "allow_empty_resources": true, + "build": { + "auto_build": false, + "with_mlrun": false + } + }, + "handler": "infer", + "requirements": null, + "image": "mlrun/mlrun" + }, + "status": { + "state": null + } + }, + { + "kind": "HubItem", + "metadata": { + "name": "batch-inference-v2", + "description": "Batch inference (also knows as prediction) for the common ML frameworks (SciKit-Learn, XGBoost and LightGBM) while performing data drift analysis.", + "labels": { + "author": "eyald" + }, + "updated": null, + "created": null, + "source": "functions", + "version": "1.9.0", + "tag": "1.9.0", + "mlrunVersion": "1.5.0-rc16", + "doc": "", + "categories": [ + "utils", + "data-analysis", + "monitoring" + ], + "platformVersion": "3.5.3", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2023-08-07:12-25", + "example": "batch_inference_v2.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" + }, + "spec": { + "item_uri": "https://mlrun.github.io/marketplace/functions/master/batch_inference_v2/1.9.0/", + "assets": { + "example": "src/batch_inference_v2.ipynb", + "source": "src/batch_inference_v2.py", + "function": "src/function.yaml", + "docs": "static/documentation.html" + }, + "kind": "job", + "filename": "batch_inference_v2.py", + "extra_spec": { + "allow_empty_resources": true, + "build": { + "auto_build": false, + "with_mlrun": false + } + }, + "handler": "infer", + "requirements": null, + "image": "mlrun/mlrun" + }, + "status": { + "state": null + } + }, + { + "kind": "HubItem", + "metadata": { + "name": "batch-inference-v2", + "description": "Batch inference (also knows as prediction) for the common ML frameworks (SciKit-Learn, XGBoost and LightGBM) while performing data drift analysis.", + "labels": { + "author": "eyald" + }, + "updated": null, + "created": null, + "source": "functions", + "version": "1.8.0", + "tag": "1.8.0", + "mlrunVersion": "1.5.0-rc13", + "doc": "", + "categories": [ + "utils", + "data-analysis", + "monitoring" + ], + "platformVersion": "3.5.3", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2023-08-07:12-25", + "example": "batch_inference_v2.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" + }, + "spec": { + "item_uri": "https://mlrun.github.io/marketplace/functions/master/batch_inference_v2/1.8.0/", + "assets": { + "example": "src/batch_inference_v2.ipynb", + "source": "src/batch_inference_v2.py", + "function": "src/function.yaml", + "docs": "static/documentation.html" + }, + "kind": "job", + "filename": "batch_inference_v2.py", + "extra_spec": { + "allow_empty_resources": true, + "build": { + "auto_build": false, + "with_mlrun": false + } + }, + "handler": "infer", + "requirements": null, + "image": "mlrun/mlrun" + }, + "status": { + "state": null + } + }, + { + "kind": "HubItem", + "metadata": { + "name": "batch-inference-v2", + "description": "Batch inference (also knows as prediction) for the common ML frameworks (SciKit-Learn, XGBoost and LightGBM) while performing data drift analysis.", + "labels": { + "author": "eyald" + }, + "updated": null, + "created": null, + "source": "functions", + "version": "2.0.0", + "tag": "2.0.0", + "mlrunVersion": "1.5.0", + "doc": "", + "categories": [ + "utils", + "data-analysis", + "monitoring" + ], + "platformVersion": "3.5.3", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2023-08-07:12-25", + "example": "batch_inference_v2.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" + }, + "spec": { + "item_uri": "https://mlrun.github.io/marketplace/functions/master/batch_inference_v2/2.0.0/", + "assets": { + "example": "src/batch_inference_v2.ipynb", + "source": "src/batch_inference_v2.py", + "function": "src/function.yaml", + "docs": "static/documentation.html" + }, + "kind": "job", + "filename": "batch_inference_v2.py", + "extra_spec": { + "allow_empty_resources": true, + "build": { + "auto_build": false, + "with_mlrun": false + } + }, + "handler": "infer", + "requirements": null, + "image": "mlrun/mlrun" + }, + "status": { + "state": null + } + }, + { + "kind": "HubItem", + "metadata": { + "name": "batch-inference-v2", + "description": "Batch inference (also knows as prediction) for the common ML frameworks (SciKit-Learn, XGBoost and LightGBM) while performing data drift analysis.", + "labels": { + "author": "eyald" + }, + "updated": null, + "created": null, + "source": "functions", + "version": "1.6.0", + "tag": "1.6.0", + "mlrunVersion": "1.5.0-rc9", + "doc": "", + "categories": [ + "utils", + "data-analysis", + "monitoring" + ], + "platformVersion": "3.5.3", + "icon": "", + "marketplaceType": "", + "hidden": false, + "generationDate": "2023-08-07:12-25", + "example": "batch_inference_v2.ipynb", + "url": "", + "maintainers": [], + "apiVersion": "v1" + }, + "spec": { + "item_uri": "https://mlrun.github.io/marketplace/functions/master/batch_inference_v2/1.6.0/", + "assets": { + "example": "src/batch_inference_v2.ipynb", + "source": "src/batch_inference_v2.py", + "function": "src/function.yaml", + "docs": "static/documentation.html" + }, + "kind": "job", + "filename": "batch_inference_v2.py", + "extra_spec": { + "allow_empty_resources": true, + "build": { + "auto_build": false, + "with_mlrun": false + } + }, + "handler": "infer", + "requirements": null, + "image": "mlrun/mlrun" }, "status": { "state": null diff --git a/tests/mockServer/data/mlrun/functions/batch_inference/batch_inference.yaml b/tests/mockServer/data/mlrun/functions/batch_inference/batch_inference.yaml deleted file mode 100644 index 0850869df..000000000 --- a/tests/mockServer/data/mlrun/functions/batch_inference/batch_inference.yaml +++ /dev/null @@ -1,133 +0,0 @@ -# Copyright 2019 Iguazio -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -kind: job -metadata: - name: batch-inference - tag: '' - hash: 7430b5c4fcdc47d7a00eadd27e85dff2e576c4e2 - project: '' - labels: - author: guyl - categories: - - utils -spec: - command: '' - args: [] - image: mlrun/ml-models - build: - functionSourceCode: # Copyright 2019 Iguazio
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import hashlib
import json
from datetime import datetime
from typing import Any, Dict, List, Tuple, Union

import mlrun
import mlrun.datastore
import mlrun.utils
import numpy as np
import pandas as pd
from mlrun import feature_store as fs
from mlrun.artifacts import Artifact
from mlrun.data_types.infer import InferOptions, get_df_stats
from mlrun.frameworks.auto_mlrun import AutoMLRun
from mlrun.model_monitoring.features_drift_table import FeaturesDriftTablePlot
from mlrun.model_monitoring.model_monitoring_batch import (
    VirtualDrift,
    calculate_inputs_statistics,
)

# A union of all supported dataset types:
DatasetType = Union[mlrun.DataItem, list, dict, pd.DataFrame, pd.Series, np.ndarray]


def _read_dataset_as_dataframe(
    dataset: DatasetType,
    label_columns: Union[str, List[str]] = None,
    drop_columns: Union[str, List[str], int, List[int]] = None,
) -> Tuple[pd.DataFrame, List[str]]:
    """
    Parse the given dataset into a DataFrame and drop the columns accordingly. In addition, the label columns will be
    parsed and validated as well.

    :param dataset:       The dataset to train the model on.
                          Can be either a list of lists, dict, URI or a FeatureVector.
    :param label_columns: The target label(s) of the column(s) in the dataset. for Regression or
                          Classification tasks.
    :param drop_columns:  ``str`` / ``int`` or a list of ``str`` / ``int`` that represent the column names / indices to
                          drop.

    :returns: A tuple of:
              [0] = The parsed dataset as a DataFrame
              [1] = Label columns.

    raises MLRunInvalidArgumentError: If the `drop_columns` are not matching the dataset or unsupported dataset type.
    """
    # Turn the `drop labels` into a list if given:
    if drop_columns is not None:
        if not isinstance(drop_columns, list):
            drop_columns = [drop_columns]

    # Check if the dataset is in fact a Feature Vector:
    store_uri_prefix, _ = mlrun.datastore.parse_store_uri(dataset.artifact_url)
    if mlrun.utils.StorePrefix.FeatureVector == store_uri_prefix:
        # Try to get the label columns if not provided:
        if label_columns is None:
            label_columns = dataset.meta.status.label_column
        # Get the features and parse to DataFrame:
        dataset = fs.get_offline_features(
            dataset.meta.uri, drop_columns=drop_columns
        ).to_dataframe()
    else:
        # Parse to DataFrame according to the dataset's type:
        if isinstance(dataset, (list, np.ndarray)):
            # Parse the list / numpy array into a DataFrame:
            dataset = pd.DataFrame(dataset)
            # Validate the `drop_columns` is given as integers:
            if drop_columns and not all(isinstance(col, int) for col in drop_columns):
                raise mlrun.errors.MLRunInvalidArgumentError(
                    "`drop_columns` must be an integer / list of integers if provided as a list."
                )
        elif isinstance(dataset, mlrun.DataItem):
            # Turn the DataITem to DataFrame:
            dataset = dataset.as_df()
        else:
            # Parse the object (should be a pd.DataFrame / pd.Series, dictionary) into a DataFrame:
            try:
                dataset = pd.DataFrame(dataset)
            except ValueError as e:
                raise mlrun.errors.MLRunInvalidArgumentError(
                    f"Could not parse the given dataset of type {type(dataset)} into a pandas DataFrame. "
                    f"Received the following error: {e}"
                )
        # Drop columns if needed:
        if drop_columns:
            dataset.drop(drop_columns, axis=1, inplace=True)

    # Turn the `label_columns` into a list by default:
    if label_columns is None:
        label_columns = []
    elif isinstance(label_columns, (str, int)):
        label_columns = [label_columns]

    return dataset, label_columns


def _prepare_result_set(
    x: pd.DataFrame, label_columns: List[str], y_pred: np.ndarray
) -> pd.DataFrame:
    """
    Set default label column names and validate given names to prepare the result set - a concatenation of the inputs
    (x) and the model predictions (y_pred).

    :param x:             The inputs.
    :param label_columns: A list of strings representing the target column names to add to the predictions. Default name
                          will be used in case the list is empty (predicted_label_{i}).
    :param y_pred:        The model predictions on the inputs.

    :returns: The result set.

    raises MLRunInvalidArgumentError: If the labels columns amount do not match the outputs or if one of the label
                                       column already exists in the dataset.
    """
    # Prepare default target columns names if not provided:
    prediction_columns_amount = 1 if len(y_pred.shape) == 1 else y_pred.shape[1]
    if len(label_columns) == 0:
        # Add default label column names:
        if prediction_columns_amount == 1:
            label_columns = ["predicted_label"]
        else:
            label_columns = [
                f"predicted_label_{i}" for i in range(prediction_columns_amount)
            ]

    # Validate the label columns:
    if prediction_columns_amount != len(label_columns):
        # No equality between provided label column names and outputs amount:
        raise mlrun.errors.MLRunInvalidArgumentError(
            f"The number of predicted labels: {prediction_columns_amount} "
            f"is not equal to the given label columns: {len(label_columns)}"
        )
    common_labels = set(label_columns) & set(x.columns.tolist())
    if common_labels:
        # Label column exist in the original inputs:
        raise mlrun.errors.MLRunInvalidArgumentError(
            f"The labels: {common_labels} are already existed in the given dataset."
        )

    return pd.concat(
        [x, pd.DataFrame(y_pred, columns=label_columns, index=x.index)], axis=1
    )


def _get_sample_set_statistics(
    sample_set: DatasetType = None, model_artifact_feature_stats: dict = None
) -> dict:
    """
    Get the sample set statistics either from the given sample set or the statistics logged with the model while
    favoring the given sample set.

    :param sample_set:                   A sample dataset to give to compare the inputs in the drift analysis.
    :param model_artifact_feature_stats: The `feature_stats` attribute in the spec of the model artifact, where the
                                         original sample set statistics of the model was used.

    :returns: The sample set statistics.

    raises MLRunInvalidArgumentError: If no sample set or statistics were given.
    """
    # Check if a sample set was provided:
    if sample_set is None:
        # Check if the model was logged with a sample set:
        if model_artifact_feature_stats is None:
            raise mlrun.errors.MLRunInvalidArgumentError(
                "Cannot perform drift analysis as there is no sample set to compare to. The model artifact was not "
                "logged with a sample set and `sample_set` was not provided to the function."
            )
        # Return the statistics logged with the model:
        return model_artifact_feature_stats

    # Turn the DataItem to DataFrame:
    if isinstance(sample_set, mlrun.DataItem):
        sample_set, _ = _read_dataset_as_dataframe(dataset=sample_set)

    # Return the sample set statistics:
    return get_df_stats(df=sample_set, options=InferOptions.Histogram)


def _get_drift_result(
    tvd: float,
    hellinger: float,
    threshold: float,
) -> Tuple[bool, float]:
    """
    Calculate the drift result by the following equation: (tvd + hellinger) / 2

    :param tvd:       The feature's TVD value.
    :param hellinger: The feature's Hellinger value.
    :param threshold: The threshold from which the value is considered a drift.

    :returns: A tuple of:
              [0] = Boolean value as the drift status.
              [1] = The result.
    """
    result = (tvd + hellinger) / 2
    if result >= threshold:
        return True, result
    return False, result


def _perform_drift_analysis(
    sample_set_statistics: dict,
    inputs: pd.DataFrame,
    drift_threshold: float,
    possible_drift_threshold: float,
    inf_capping: float,
) -> Tuple[Artifact, Artifact, dict]:
    """
    Perform drift analysis, producing the drift table artifact for logging post prediction.

    :param sample_set_statistics:    The statistics of the sample set logged along a model.
    :param inputs:                   Input dataset to perform the drift calculation on.
    :param drift_threshold:          The threshold of which to mark drifts.
    :param possible_drift_threshold: The threshold of which to mark possible drifts.
    :param inf_capping:              The value to set for when it reached infinity.

    :returns: A tuple of
              [0] = An MLRun artifact holding the HTML code of the drift table plot.
              [1] = An MLRun artifact holding the metric per feature dictionary.
              [2] = Results to log the final analysis outcome.
    """
    # Calculate the input's statistics:
    inputs_statistics = calculate_inputs_statistics(
        sample_set_statistics=sample_set_statistics,
        inputs=inputs,
    )

    # Calculate drift:
    virtual_drift = VirtualDrift(inf_capping=inf_capping)
    metrics = virtual_drift.compute_drift_from_histograms(
        feature_stats=sample_set_statistics,
        current_stats=inputs_statistics,
    )
    drift_results = virtual_drift.check_for_drift_per_feature(
        metrics_results_dictionary=metrics,
        possible_drift_threshold=possible_drift_threshold,
        drift_detected_threshold=drift_threshold,
    )

    # Validate all feature columns named the same between the inputs and sample sets:
    sample_features = set(
        [
            feature_name
            for feature_name, feature_statistics in sample_set_statistics.items()
            if isinstance(feature_statistics, dict)
        ]
    )
    input_features = set(inputs.columns)
    if len(sample_features & input_features) != len(input_features):
        raise mlrun.errors.MLRunInvalidArgumentError(
            f"Not all feature names were matching between the inputs and the sample set provided: "
            f"{input_features - sample_features | sample_features - input_features}"
        )

    # Plot:
    html_plot = FeaturesDriftTablePlot().produce(
        features=list(input_features),
        sample_set_statistics=sample_set_statistics,
        inputs_statistics=inputs_statistics,
        metrics=metrics,
        drift_results=drift_results,
    )

    # Prepare metrics per feature dictionary:
    metrics_per_feature = {
        feature: _get_drift_result(
            tvd=metric_dictionary["tvd"],
            hellinger=metric_dictionary["hellinger"],
            threshold=drift_threshold,
        )[1]
        for feature, metric_dictionary in metrics.items()
        if isinstance(metric_dictionary, dict)
    }

    # Calculate the final analysis result:
    drift_status, drift_metric = _get_drift_result(
        tvd=metrics["tvd_mean"],
        hellinger=metrics["hellinger_mean"],
        threshold=drift_threshold,
    )

    return (
        Artifact(body=html_plot, format="html", key="drift_table_plot"),
        Artifact(
            body=json.dumps(metrics_per_feature),
            format="json",
            key="features_drift_results",
        ),
        {"drift_status": drift_status, "drift_metric": drift_metric},
    )


def infer(
    context: mlrun.MLClientCtx,
    model: str,
    dataset: DatasetType,
    drop_columns: Union[str, List[str], int, List[int]] = None,
    label_columns: Union[str, List[str]] = None,
    log_result_set: bool = True,
    result_set_name: str = "prediction",
    batch_id: str = None,
    perform_drift_analysis: bool = None,
    sample_set: DatasetType = None,
    drift_threshold: float = 0.7,
    possible_drift_threshold: float = 0.5,
    inf_capping: float = 10.0,
    artifacts_tag: str = "",
    **predict_kwargs: Dict[str, Any],
):
    """
    Perform a prediction on a given dataset with the given model. Can perform drift analysis between the sample set
    statistics stored in the model to the current input data. The drift rule is the value per-feature mean of the TVD
    and Hellinger scores according to the thresholds configures here.

    :param context:                  MLRun context.
    :param model:                    The model Store path.
    :param dataset:                  The dataset to infer through the model. Can be passed in `inputs` as either a
                                     Dataset artifact / Feature vector URI. Or, in `parameters` as a list, dictionary or
                                     numpy array.
    :param drop_columns:             A string / integer or a list of strings / integers that represent the column names
                                     / indices to drop. When the dataset is a list or a numpy array this parameter must
                                     be represented by integers.
    :param label_columns:            The target label(s) of the column(s) in the dataset for Regression or
                                     Classification tasks. The label column can be accessed from the model object, or
                                     the feature vector provided if available.
    :param log_result_set:           Whether to log the result set - a DataFrame of the given inputs concatenated with
                                     the predictions. Defaulted to True.
    :param result_set_name:          The db key to set name of the prediction result and the filename. Defaulted to
                                     'prediction'.
    :param batch_id:                 The ID of the given batch (inference dataset). If `None`, it will be generated.
                                     Will be logged as a result of the run.
    :param perform_drift_analysis:   Whether to perform drift analysis between the sample set of the model object to the
                                     dataset given. By default, None, which means it will perform drift analysis if the
                                     model has a sample set statistics. Perform drift analysis will produce a data drift
                                     table artifact.
    :param sample_set:               A sample dataset to give to compare the inputs in the drift analysis. The default
                                     chosen sample set will always be the one who is set in the model artifact itself.
    :param drift_threshold:          The threshold of which to mark drifts. Defaulted to 0.7.
    :param possible_drift_threshold: The threshold of which to mark possible drifts. Defaulted to 0.5.
    :param inf_capping:              The value to set for when it reached infinity. Defaulted to 10.0.
    :param artifacts_tag:            Tag to use for all the artifacts resulted from the function.
    """
    # Loading the model:
    context.logger.info(f"Loading model...")
    model_handler = AutoMLRun.load_model(model_path=model, context=context)
    if label_columns is None:
        label_columns = [
            output.name for output in model_handler._model_artifact.spec.outputs
        ]

    # Get dataset by object, URL or by FeatureVector:
    context.logger.info(f"Loading data...")
    x, label_columns = _read_dataset_as_dataframe(
        dataset=dataset,
        label_columns=label_columns,
        drop_columns=drop_columns,
    )

    # Predict:
    context.logger.info(f"Calculating prediction...")
    y_pred = model_handler.model.predict(x, **predict_kwargs)

    # Prepare the result set:
    result_set = _prepare_result_set(x=x, label_columns=label_columns, y_pred=y_pred)

    # Check for logging the result set:
    if log_result_set:
        # Log the result set:
        context.logger.info(f"Logging result set (x | prediction)...")
        context.log_dataset(
            key=result_set_name,
            df=result_set,
            db_key=result_set_name,
            tag=artifacts_tag,
        )
        # Log the batch ID:
        if batch_id is None:
            batch_id = hashlib.sha224(str(datetime.now()).encode()).hexdigest()
        context.log_result(
            key="batch_id",
            value=batch_id,
        )

    # Check for performing drift analysis:
    if (
        perform_drift_analysis is None
        and model_handler._model_artifact.spec.feature_stats is not None
    ):
        perform_drift_analysis = True
    if perform_drift_analysis:
        context.logger.info("Performing drift analysis...")
        # Get the sample set statistics (either from the sample set or from the statistics logged with the model):
        sample_set_statistics = _get_sample_set_statistics(
            sample_set=sample_set,
            model_artifact_feature_stats=model_handler._model_artifact.spec.feature_stats,
        )
        # Produce the artifact:
        (
            drift_table_plot,
            metric_per_feature_dict,
            analysis_results,
        ) = _perform_drift_analysis(
            sample_set_statistics=sample_set_statistics,
            inputs=result_set,
            drift_threshold=drift_threshold,
            possible_drift_threshold=possible_drift_threshold,
            inf_capping=inf_capping,
        )
        # Log the artifact and results:
        context.log_artifact(drift_table_plot, tag=artifacts_tag)
        context.log_artifact(metric_per_feature_dict, tag=artifacts_tag)
        context.log_results(results=analysis_results)
 - commands: [] - code_origin: https://github.com/mlrun/functions.git#b1cc7349a25f92f50243bc93bf1c44b75e8f2415:/Users/Eyal_Danieli/PycharmProjects/functions/batch_inference/batch_inference.py - origin_filename: /Users/Eyal_Danieli/PycharmProjects/functions/batch_inference/batch_inference.py - with_mlrun: false - auto_build: false - requirements: [] - entry_points: - infer: - name: infer - doc: 'Perform a prediction on a given dataset with the given model. Can perform - drift analysis between the sample set - - statistics stored in the model to the current input data. The drift rule is - the value per-feature mean of the TVD - - and Hellinger scores according to the thresholds configures here.' - parameters: - - name: context - type: MLClientCtx - doc: MLRun context. - default: '' - - name: model - type: str - doc: The model Store path. - default: '' - - name: dataset - type: DatasetType - doc: The dataset to infer through the model. Can be passed in `inputs` as - either a Dataset artifact / Feature vector URI. Or, in `parameters` as a - list, dictionary or numpy array. - default: '' - - name: drop_columns - type: Union[str, List[str], int, List[int]] - doc: A string / integer or a list of strings / integers that represent the - column names / indices to drop. When the dataset is a list or a numpy array - this parameter must be represented by integers. - default: null - - name: label_columns - type: Union[str, List[str]] - doc: The target label(s) of the column(s) in the dataset for Regression or - Classification tasks. The label column can be accessed from the model object, - or the feature vector provided if available. - default: null - - name: log_result_set - type: bool - doc: Whether to log the result set - a DataFrame of the given inputs concatenated - with the predictions. Defaulted to True. - default: true - - name: result_set_name - type: str - doc: The db key to set name of the prediction result and the filename. Defaulted - to 'prediction'. - default: prediction - - name: batch_id - type: str - doc: The ID of the given batch (inference dataset). If `None`, it will be - generated. Will be logged as a result of the run. - default: null - - name: perform_drift_analysis - type: bool - doc: Whether to perform drift analysis between the sample set of the model - object to the dataset given. By default, None, which means it will perform - drift analysis if the model has a sample set statistics. Perform drift analysis - will produce a data drift table artifact. - default: null - - name: sample_set - type: DatasetType - doc: A sample dataset to give to compare the inputs in the drift analysis. - The default chosen sample set will always be the one who is set in the model - artifact itself. - default: null - - name: drift_threshold - type: float - doc: The threshold of which to mark drifts. Defaulted to 0.7. - default: 0.7 - - name: possible_drift_threshold - type: float - doc: The threshold of which to mark possible drifts. Defaulted to 0.5. - default: 0.5 - - name: inf_capping - type: float - doc: The value to set for when it reached infinity. Defaulted to 10.0. - default: 10.0 - - name: artifacts_tag - type: str - doc: Tag to use for all the artifacts resulted from the function. - default: '' - outputs: - - default: '' - lineno: 306 - description: Batch inference (also knows as prediction) for the common ML frameworks - (SciKit-Learn, XGBoost and LightGBM) while performing data drift analysis. - default_handler: infer - disable_auto_mount: false - allow_empty_resources: true - clone_target_dir: '' - env: [] - priority_class_name: '' - preemption_mode: prevent - affinity: null - tolerations: null - security_context: {} -verbose: false - diff --git a/tests/mockServer/data/mlrun/functions/batch_inference_v2/batch_inference_v2.yaml b/tests/mockServer/data/mlrun/functions/batch_inference_v2/batch_inference_v2.yaml new file mode 100644 index 000000000..1f2283f4c --- /dev/null +++ b/tests/mockServer/data/mlrun/functions/batch_inference_v2/batch_inference_v2.yaml @@ -0,0 +1,177 @@ +# Copyright 2019 Iguazio +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +kind: job +metadata: + name: batch-inference-v2 + tag: '' + hash: cde622360faa797902544a2178e97c152f69aacd + project: '' + labels: + author: eyald + categories: + - utils + - data-analysis + - monitoring +spec: + command: '' + args: [] + image: mlrun/mlrun + build: + functionSourceCode: # Copyright 2023 Iguazio
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#


from typing import Any, Dict, List, Union

import mlrun

try:
    import mlrun.model_monitoring.api
except ModuleNotFoundError:
    raise mlrun.errors.MLRunNotFoundError(
        f"Please update your `mlrun` version to >=1.5.0 or use an "
        f"older version of the batch inference function."
    )


import numpy as np
import pandas as pd
from mlrun.frameworks.auto_mlrun import AutoMLRun


def _prepare_result_set(
    x: pd.DataFrame, label_columns: List[str], y_pred: np.ndarray
) -> pd.DataFrame:
    """
    Set default label column names and validate given names to prepare the result set - a concatenation of the inputs
    (x) and the model predictions (y_pred).

    :param x:             The inputs.
    :param label_columns: A list of strings representing the target column names to add to the predictions. Default name
                          will be used in case the list is empty (predicted_label_{i}).
    :param y_pred:        The model predictions on the inputs.

    :returns: The result set.

    raises MLRunInvalidArgumentError: If the labels columns amount do not match the outputs or if one of the label
                                       column already exists in the dataset.
    """
    # Prepare default target columns names if not provided:
    prediction_columns_amount = 1 if len(y_pred.shape) == 1 else y_pred.shape[1]
    if len(label_columns) == 0:
        # Add default label column names:
        if prediction_columns_amount == 1:
            label_columns = ["predicted_label"]
        else:
            label_columns = [
                f"predicted_label_{i}" for i in range(prediction_columns_amount)
            ]

    # Validate the label columns:
    if prediction_columns_amount != len(label_columns):
        # No equality between provided label column names and outputs amount:
        raise mlrun.errors.MLRunInvalidArgumentError(
            f"The number of predicted labels: {prediction_columns_amount} "
            f"is not equal to the given label columns: {len(label_columns)}"
        )
    common_labels = set(label_columns) & set(x.columns.tolist())
    if common_labels:
        # Label column exist in the original inputs:
        raise mlrun.errors.MLRunInvalidArgumentError(
            f"The labels: {common_labels} are already existed in the given dataset."
        )

    return pd.concat(
        [x, pd.DataFrame(y_pred, columns=label_columns, index=x.index)], axis=1
    )


def infer(
    context: mlrun.MLClientCtx,
    dataset: Union[mlrun.DataItem, list, dict, pd.DataFrame, pd.Series, np.ndarray],
    model_path: Union[str, mlrun.DataItem],
    drop_columns: Union[str, List[str], int, List[int]] = None,
    label_columns: Union[str, List[str]] = None,
    feature_columns: Union[str, List[str]] = None,
    log_result_set: bool = True,
    result_set_name: str = "prediction",
    batch_id: str = None,
    artifacts_tag: str = "",
    # Drift analysis parameters
    perform_drift_analysis: bool = None,
    trigger_monitoring_job: bool = False,
    batch_image_job: str = "mlrun/mlrun",
    endpoint_id: str = "",
    # The following model endpoint parameters are relevant only if:
    # perform drift analysis is not disabled
    # a new model endpoint record is going to be generated
    model_endpoint_name: str = "batch-infer",
    model_endpoint_drift_threshold: float = 0.7,
    model_endpoint_possible_drift_threshold: float = 0.5,
    model_endpoint_sample_set: Union[
        mlrun.DataItem, list, dict, pd.DataFrame, pd.Series, np.ndarray
    ] = None,
    **predict_kwargs: Dict[str, Any],
):
    """
    Perform a prediction on a given dataset with the given model. Please make sure that you have already logged the model
    under the current project.
    Can perform drift analysis between the sample set statistics stored in the model to the current input data. The
    drift rule is the value per-feature mean of the TVD and Hellinger scores according to the thresholds configures
    here. When performing drift analysis, this function either uses an existing model endpoint record or creates
    a new one.
    At the moment, this function is supported for `mlrun>=1.5.0` versions.

    :param context:                                 MLRun context.
    :param dataset:                                 The dataset to infer through the model. Provided as an input (DataItem)
                                                    that represents Dataset artifact / Feature vector URI.
                                                    If using MLRun SDK, `dataset` can also be provided as a list, dictionary or
                                                    numpy array.
    :param model_path:                              Model store uri (should start with store://). Provided as an input (DataItem).
                                                    If using MLRun SDK, `model_path` can also be provided as a parameter (string).
                                                    To generate a valid model store URI, please log the model before running this function.
                                                    If `endpoint_id` of existing model endpoint is provided, make sure
                                                    that it has a similar model store path, otherwise the drift analysis
                                                    won't be triggered.
    :param drop_columns:                            A string / integer or a list of strings / integers that represent the column names
                                                    / indices to drop. When the dataset is a list or a numpy array this parameter must
                                                    be represented by integers.
    :param label_columns:                           The target label(s) of the column(s) in the dataset for Regression or
                                                    Classification tasks. The label column can be accessed from the model object, or
                                                    the feature vector provided if available.
    :param feature_columns:                         List of feature columns that will be used to build the dataframe when dataset is
                                                    from type list or numpy array.
    :param log_result_set:                          Whether to log the result set - a DataFrame of the given inputs concatenated with
                                                    the predictions. Defaulted to True.
    :param result_set_name:                         The db key to set name of the prediction result and the filename. Defaulted to
                                                    'prediction'.
    :param batch_id:                                The ID of the given batch (inference dataset). If `None`, it will be generated.
                                                    Will be logged as a result of the run.
    :param artifacts_tag:                           Tag to use for all the artifacts resulted from the function (result set and
                                                    model monitoring artifacts)
    :param perform_drift_analysis:                  Whether to perform drift analysis between the sample set of the model object to the
                                                    dataset given. By default, None, which means it will perform drift analysis if the
                                                    model already has feature stats that are considered as a reference sample set.
                                                    Performing drift analysis on a new endpoint id will generate a new model endpoint
                                                    record. Please note that in order to trigger the drift analysis job, you need to
                                                    set `trigger_monitoring_job=True`. Otherwise, the drift analysis will be triggered
                                                    only as part the scheduled monitoring job (if exist in the current project) or
                                                    if triggered manually by the user.
    :param trigger_monitoring_job:                  Whether to trigger the batch drift analysis after the infer job.
    :param batch_image_job:                         The image that will be used to register the monitoring batch job if not exist.
                                                    By default, the image is mlrun/mlrun.
    :param endpoint_id:                             Model endpoint unique ID. If `perform_drift_analysis` was set, the endpoint_id
                                                    will be used either to perform the analysis on existing model endpoint or to
                                                    generate a new model endpoint record.
    :param model_endpoint_name:                     If a new model endpoint is generated, the model name will be presented under this
                                                    endpoint.
    :param model_endpoint_drift_threshold:          The threshold of which to mark drifts. Defaulted to 0.7.
    :param model_endpoint_possible_drift_threshold: The threshold of which to mark possible drifts. Defaulted to 0.5.
    :param model_endpoint_sample_set:               A sample dataset to give to compare the inputs in the drift analysis.
                                                    Can be provided as an input (DataItem) or as a parameter (e.g. string, list, DataFrame).
                                                    The default chosen sample set will always be the one who is set in the model artifact itself.

    raises MLRunInvalidArgumentError: if both `model_path` and `endpoint_id` are not provided
    """

    # Loading the model:
    context.logger.info(f"Loading model...")
    if isinstance(model_path, mlrun.DataItem):
        model_path = model_path.artifact_url
    if not mlrun.datastore.is_store_uri(model_path):
        raise mlrun.errors.MLRunInvalidArgumentError(
            f"The provided model path ({model_path}) is invalid - should start with `store://`. "
            f"Please make sure that you have logged the model using `project.log_model()` "
            f"which generates a unique store uri for the logged model."
        )
    model_handler = AutoMLRun.load_model(model_path=model_path, context=context)

    if label_columns is None:
        label_columns = [
            output.name for output in model_handler._model_artifact.spec.outputs
        ]

    if feature_columns is None:
        feature_columns = [
            input.name for input in model_handler._model_artifact.spec.inputs
        ]

    # Get dataset by object, URL or by FeatureVector:
    context.logger.info(f"Loading data...")
    x, label_columns = mlrun.model_monitoring.api.read_dataset_as_dataframe(
        dataset=dataset,
        feature_columns=feature_columns,
        label_columns=label_columns,
        drop_columns=drop_columns,
    )

    # Predict:
    context.logger.info(f"Calculating prediction...")
    y_pred = model_handler.model.predict(x, **predict_kwargs)

    # Prepare the result set:
    result_set = _prepare_result_set(x=x, label_columns=label_columns, y_pred=y_pred)

    # Check for logging the result set:
    if log_result_set:
        mlrun.model_monitoring.api.log_result(
            context=context,
            result_set_name=result_set_name,
            result_set=result_set,
            artifacts_tag=artifacts_tag,
            batch_id=batch_id,
        )

    # Check for performing drift analysis
    if (
        perform_drift_analysis is None
        and model_handler._model_artifact.spec.feature_stats is not None
    ):
        perform_drift_analysis = True
    if perform_drift_analysis:
        context.logger.info("Performing drift analysis...")
        # Get the sample set statistics (either from the sample set or from the statistics logged with the model)
        sample_set_statistics = mlrun.model_monitoring.api.get_sample_set_statistics(
            sample_set=model_endpoint_sample_set,
            model_artifact_feature_stats=model_handler._model_artifact.spec.feature_stats,
        )
        mlrun.model_monitoring.api.record_results(
            project=context.project,
            context=context,
            endpoint_id=endpoint_id,
            model_path=model_path,
            model_endpoint_name=model_endpoint_name,
            infer_results_df=result_set.copy(),
            sample_set_statistics=sample_set_statistics,
            drift_threshold=model_endpoint_drift_threshold,
            possible_drift_threshold=model_endpoint_possible_drift_threshold,
            artifacts_tag=artifacts_tag,
            trigger_monitoring_job=trigger_monitoring_job,
            default_batch_image=batch_image_job,
        )
 + commands: [] + code_origin: '' + origin_filename: '' + with_mlrun: false + auto_build: false + requirements: [] + entry_points: + infer: + name: infer + doc: 'Perform a prediction on a given dataset with the given model. Please make + sure that you have already logged the model + + under the current project. + + Can perform drift analysis between the sample set statistics stored in the + model to the current input data. The + + drift rule is the value per-feature mean of the TVD and Hellinger scores according + to the thresholds configures + + here. When performing drift analysis, this function either uses an existing + model endpoint record or creates + + a new one. + + At the moment, this function is supported for `mlrun>=1.5.0` versions.' + parameters: + - name: context + type: MLClientCtx + doc: MLRun context. + default: '' + - name: dataset + type: Union[DataItem, list, dict, DataFrame, Series, ndarray] + doc: The dataset to infer through the model. Provided as an input (DataItem) + that represents Dataset artifact / Feature vector URI. If using MLRun SDK, + `dataset` can also be provided as a list, dictionary or numpy array. + default: '' + - name: model_path + type: Union[str, DataItem] + doc: Model store uri (should start with store://). Provided as an input (DataItem). + If using MLRun SDK, `model_path` can also be provided as a parameter (string). + To generate a valid model store URI, please log the model before running + this function. If `endpoint_id` of existing model endpoint is provided, + make sure that it has a similar model store path, otherwise the drift analysis + won't be triggered. + default: '' + - name: drop_columns + type: Union[str, List[str], int, List[int]] + doc: A string / integer or a list of strings / integers that represent the + column names / indices to drop. When the dataset is a list or a numpy array + this parameter must be represented by integers. + default: null + - name: label_columns + type: Union[str, List[str]] + doc: The target label(s) of the column(s) in the dataset for Regression or + Classification tasks. The label column can be accessed from the model object, + or the feature vector provided if available. + default: null + - name: feature_columns + type: Union[str, List[str]] + doc: List of feature columns that will be used to build the dataframe when + dataset is from type list or numpy array. + default: null + - name: log_result_set + type: bool + doc: Whether to log the result set - a DataFrame of the given inputs concatenated + with the predictions. Defaulted to True. + default: true + - name: result_set_name + type: str + doc: The db key to set name of the prediction result and the filename. Defaulted + to 'prediction'. + default: prediction + - name: batch_id + type: str + doc: The ID of the given batch (inference dataset). If `None`, it will be + generated. Will be logged as a result of the run. + default: null + - name: artifacts_tag + type: str + doc: Tag to use for all the artifacts resulted from the function (result set + and model monitoring artifacts) + default: '' + - name: perform_drift_analysis + type: bool + doc: Whether to perform drift analysis between the sample set of the model + object to the dataset given. By default, None, which means it will perform + drift analysis if the model already has feature stats that are considered + as a reference sample set. Performing drift analysis on a new endpoint id + will generate a new model endpoint record. Please note that in order to + trigger the drift analysis job, you need to set `trigger_monitoring_job=True`. + Otherwise, the drift analysis will be triggered only as part the scheduled + monitoring job (if exist in the current project) or if triggered manually + by the user. + default: null + - name: trigger_monitoring_job + type: bool + doc: Whether to trigger the batch drift analysis after the infer job. + default: false + - name: batch_image_job + type: str + doc: The image that will be used to register the monitoring batch job if not + exist. By default, the image is mlrun/mlrun. + default: mlrun/mlrun + - name: endpoint_id + type: str + doc: Model endpoint unique ID. If `perform_drift_analysis` was set, the endpoint_id + will be used either to perform the analysis on existing model endpoint or + to generate a new model endpoint record. + default: '' + - name: model_endpoint_name + type: str + doc: If a new model endpoint is generated, the model name will be presented + under this endpoint. + default: batch-infer + - name: model_endpoint_drift_threshold + type: float + doc: The threshold of which to mark drifts. Defaulted to 0.7. + default: 0.7 + - name: model_endpoint_possible_drift_threshold + type: float + doc: The threshold of which to mark possible drifts. Defaulted to 0.5. + default: 0.5 + - name: model_endpoint_sample_set + type: Union[DataItem, list, dict, DataFrame, Series, ndarray] + doc: A sample dataset to give to compare the inputs in the drift analysis. + Can be provided as an input (DataItem) or as a parameter (e.g. string, list, + DataFrame). The default chosen sample set will always be the one who is + set in the model artifact itself. + default: null + outputs: + - default: '' + lineno: 82 + description: Batch inference (also knows as prediction) for the common ML frameworks + (SciKit-Learn, XGBoost and LightGBM) while performing data drift analysis. + default_handler: infer + disable_auto_mount: false + allow_empty_resources: true + clone_target_dir: '' + env: [] + priority_class_name: '' + preemption_mode: prevent + affinity: null + tolerations: null + security_context: {} +verbose: false \ No newline at end of file diff --git a/tests/mockServer/mock.js b/tests/mockServer/mock.js index 488491221..b4589f94b 100644 --- a/tests/mockServer/mock.js +++ b/tests/mockServer/mock.js @@ -1144,8 +1144,8 @@ function putTags(req, res){ if (artifactForUpdate === undefined){ artifactForUpdate = artifacts.artifacts .filter(item => item.metadata) - .find(item => item.uid === req.body.identifiers[0].uid) - + .find(item => item.metadata.tree === req.body.identifiers[0].uid) + artifactForUpdate.metadata.tag = req.params.tag } else{ @@ -1167,11 +1167,11 @@ function deleteTags(req, res){ || artifact.tree === req.body.identifiers[0].uid)) if (collectedArtifact) { - if (collectedArtifact.metadata){ - delete collectedArtifact.metadata.tag + if (collectedArtifact.metadata && collectedArtifact.metadata.tag === req.params.tag){ + collectedArtifact.metadata.tag = '' } - else{ - delete collectedArtifact.tag + else if (collectedArtifact.tag === req.params.tag){ + collectedArtifact.tag = '' } }