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VectorInstitute · Nov 7, 2023 · 2483bef · 2483bef
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diff --git a/api/_images/tutorials_nihcxr_monitor_api_10_1.png b/api/_images/tutorials_nihcxr_monitor_api_10_1.png
diff --git a/api/_images/tutorials_nihcxr_monitor_api_12_0.png b/api/_images/tutorials_nihcxr_monitor_api_12_0.png
diff --git a/api/_images/tutorials_nihcxr_monitor_api_6_0.png b/api/_images/tutorials_nihcxr_monitor_api_6_0.png
diff --git a/api/_images/tutorials_nihcxr_monitor_api_8_0.png b/api/_images/tutorials_nihcxr_monitor_api_8_0.png
diff --git a/api/_sources/tutorials/kaggle/heart_failure_prediction.ipynb.txt b/api/_sources/tutorials/kaggle/heart_failure_prediction.ipynb.txt
@@ -1082,17 +1082,23 @@
    "source": [
     "report.log_from_dict(\n",
     "    data={\n",
+    "        \"name\": \"Heart Failure Prediction Model\",\n",
     "        \"description\": \"The model was trained on the Kaggle Heart Failure \\\n",
     "        Prediction Dataset to predict risk of heart failure.\",\n",
     "    },\n",
     "    section_name=\"model_details\",\n",
     ")\n",
+    "\n",
     "report.log_version(\n",
     "    version_str=\"0.0.1\",\n",
     "    date=str(date.today()),\n",
     "    description=\"Initial Release\",\n",
     ")\n",
-    "report.log_owner(name=\"CyclOps Team\", contact=\"vectorinstitute.github.io/cyclops/\")\n",
+    "report.log_owner(\n",
+    "    name=\"CyclOps Team\",\n",
+    "    contact=\"vectorinstitute.github.io/cyclops/\",\n",
+    "    email=\"cyclops@vectorinstitute.ai\",\n",
+    ")\n",
     "report.log_license(identifier=\"Apache-2.0\")\n",
     "report.log_reference(\n",
     "    link=\"https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDClassifier.html\",  # noqa: E501\n",

diff --git a/api/_sources/tutorials/nihcxr/cxr_classification.ipynb.txt b/api/_sources/tutorials/nihcxr/cxr_classification.ipynb.txt
@@ -552,7 +552,7 @@
     "report.log_owner(\n",
     "    name=\"Machine Learning and Medicine Lab\",\n",
     "    contact=\"mlmed.org\",\n",
-    "    email=\"mlmed@gmail.com\",\n",
+    "    email=\"joseph@josephpcohen.com\",\n",
     ")\n",
     "\n",
     "# considerations\n",

diff --git a/api/_sources/tutorials/synthea/los_prediction.ipynb.txt b/api/_sources/tutorials/synthea/los_prediction.ipynb.txt
@@ -1360,6 +1360,7 @@
    "source": [
     "report.log_from_dict(\n",
     "    data={\n",
+    "        \"name\": \"Prolonged Length of Stay Prediction Model\",\n",
     "        \"description\": \"The model was trained on the Synthea synthetic dataset \\\n",
     "            to predict prolonged stay in the hospital.\",\n",
     "    },\n",
@@ -1370,7 +1371,11 @@
     "    date=str(date.today()),\n",
     "    description=\"Initial Release\",\n",
     ")\n",
-    "report.log_owner(name=\"CyclOps Team\", contact=\"vectorinstitute.github.io/cyclops/\")\n",
+    "report.log_owner(\n",
+    "    name=\"CyclOps Team\",\n",
+    "    contact=\"vectorinstitute.github.io/cyclops/\",\n",
+    "    email=\"cyclops@vectorinstitute.ai\",\n",
+    ")\n",
     "report.log_license(identifier=\"Apache-2.0\")\n",
     "report.log_reference(\n",
     "    link=\"https://xgboost.readthedocs.io/en/stable/python/python_api.html\",  # noqa: E501\n",

diff --git a/api/searchindex.js b/api/searchindex.js
diff --git a/api/tutorials/kaggle/heart_failure_prediction.html b/api/tutorials/kaggle/heart_failure_prediction.html
diff --git a/api/tutorials/kaggle/heart_failure_prediction.ipynb b/api/tutorials/kaggle/heart_failure_prediction.ipynb
diff --git a/api/tutorials/nihcxr/cxr_classification.html b/api/tutorials/nihcxr/cxr_classification.html
diff --git a/api/tutorials/nihcxr/cxr_classification.ipynb b/api/tutorials/nihcxr/cxr_classification.ipynb
diff --git a/api/tutorials/nihcxr/monitor_api.html b/api/tutorials/nihcxr/monitor_api.html
@@ -518,7 +518,7 @@ <h2>Example 1. Generate Source/Target Dataset for Experiments (1-2)<a class="hea
 </div>
 <div class="output_area stderr docutils container">
 <div class="highlight"><pre>
-Filter (num_proc=6): 100%|██████████| 25596/25596 [00:00&lt;00:00, 64310.98 examples/s]
+Filter (num_proc=6): 100%|██████████| 25596/25596 [00:00&lt;00:00, 61622.84 examples/s]
 </pre></div></div>
 </div>
 </section>
@@ -664,14 +664,14 @@ <h2>Example 4. Sensitivity test experiment with different clinical shifts<a clas
 </div>
 <div class="output_area stderr docutils container">
 <div class="highlight"><pre>
-Filter (num_proc=6): 100%|██████████| 25596/25596 [00:00&lt;00:00, 49342.01 examples/s]
-Filter (num_proc=6): 100%|██████████| 25596/25596 [00:00&lt;00:00, 47848.70 examples/s]
-Filter (num_proc=6): 100%|██████████| 25596/25596 [00:00&lt;00:00, 47646.17 examples/s]
-Filter (num_proc=6): 100%|██████████| 25596/25596 [00:00&lt;00:00, 47239.13 examples/s]
-Filter (num_proc=6): 100%|██████████| 25596/25596 [00:00&lt;00:00, 48811.93 examples/s]
-Filter (num_proc=6): 100%|██████████| 25596/25596 [00:00&lt;00:00, 49264.53 examples/s]
-Filter (num_proc=6): 100%|██████████| 25596/25596 [00:00&lt;00:00, 46392.20 examples/s]
-Filter (num_proc=6): 100%|██████████| 25596/25596 [00:00&lt;00:00, 48235.17 examples/s]
+Filter (num_proc=6): 100%|██████████| 25596/25596 [00:00&lt;00:00, 48963.11 examples/s]
+Filter (num_proc=6): 100%|██████████| 25596/25596 [00:00&lt;00:00, 48737.43 examples/s]
+Filter (num_proc=6): 100%|██████████| 25596/25596 [00:00&lt;00:00, 48178.74 examples/s]
+Filter (num_proc=6): 100%|██████████| 25596/25596 [00:00&lt;00:00, 47483.15 examples/s]
+Filter (num_proc=6): 100%|██████████| 25596/25596 [00:00&lt;00:00, 49872.02 examples/s]
+Filter (num_proc=6): 100%|██████████| 25596/25596 [00:00&lt;00:00, 50100.10 examples/s]
+Filter (num_proc=6): 100%|██████████| 25596/25596 [00:00&lt;00:00, 48311.08 examples/s]
+Filter (num_proc=6): 100%|██████████| 25596/25596 [00:00&lt;00:00, 49791.07 examples/s]
 </pre></div></div>
 </div>
 <div class="nboutput nblast docutils container">

diff --git a/api/tutorials/nihcxr/monitor_api.ipynb b/api/tutorials/nihcxr/monitor_api.ipynb
diff --git a/api/tutorials/synthea/los_prediction.html b/api/tutorials/synthea/los_prediction.html
diff --git a/api/tutorials/synthea/los_prediction.ipynb b/api/tutorials/synthea/los_prediction.ipynb