MLMD v0.21.1

Release 0.21.1

Major Features and Improvements

• Refactoring MetadataAccessObject to allow for more flexibility.
• Release a script to generate Python API documentation.

Bug Fixes and Other Changes

• GetArtifacts/Executions/Contexts returns OK instead of NotFound to align
  with other listing APIs.
• Handles mysql stale connection error 2006 by client-side reconnection.
• Handles mysql innodb deadlock error (1213) and lock timeout (1205) via
  client-side retry.
• Avoids update node or properties without changes.

Breaking changes

Deprecations

MLMD v0.21.0

Release 0.21.0

Major Features and Improvements

• Adding artifact states.
• Supporting connection retries to gRPC server.
• Allowing the Python API put_execution to update or insert related contexts.
• Adding a new execution state: CANCELED. This indicates an execution being
  canceled.
• Adding two event types: INTERNAL_INPUT and INTERNAL_OUTPUT indended to be
  used by mlmd powered systems (e.g., orchestrator).
• Add support to pass migration options as command line parameters to the MLMD
  gRPC server.
• Adding a new Python API get_context_by_type_and_name to allow querying a
  context by its type and context name at the same time.

Bug Fixes and Other Changes

Breaking Changes

• The Python API put_execution will need an extra input argument to pass in
  contexts and return updated context_ids. Users using the old API could pass
  in None or an empty list as context and add another variable to hold the
  returned context_ids to migrate.

Deprecations

MLMD v0.21.0-rc0

Release 0.21.0

Major Features and Improvements

• Adding artifact states.
• Supporting connection retries to gRPC server.
• Allowing the Python API put_execution to update or insert related contexts.
• Adding a new execution state: CANCELED. This indicates an execution being
  canceled.
• Adding two event types: INTERNAL_INPUT and INTERNAL_OUTPUT indended to be
  used by mlmd powered systems (e.g., orchestrator).
• Add support to pass migration options as command line parameters to the MLMD
  gRPC server.

Bug Fixes and Other Changes

Breaking Changes

• The Python API put_execution will need an extra input argument to pass in
  contexts and return updated context_ids. Users using the old API could pass
  in None or an empty list as context and add another variable to hold the
  returned context_ids to migrate.

Deprecations

MLMD v0.15.2

Release 0.15.2

Major Features and Improvements

Bug Fixes and Other Changes

• Passes bytes instead of string to grpc.ssl_channel_credentials.
• Align GRPC python client stub error code with swig client error code.
• Add verify_server_cert support to MySQL source SSL options.

Breaking Changes

Deprecations

MLMD v0.15.1

Release 0.15.1

Major Features and Improvements

• Add migration options to gRPC MetadataStoreServerConfig.
• Disable auto schema migration by default during connection. The user needs
  to explicitly enable it when connecting an older database.
• Support SSL options when using MySQL metadata source.

Bug Fixes and Other Changes

• Fixes MySQL errors with concurrent connection to an empty database. Now,
  MLMD returns Aborted when concurrent connection error happens and the caller
  can retry appropriately.

Breaking Changes

Deprecations

• Deprecates proto field MigrationOptions.disable_upgrade_migration.
• Deprecates disable_upgrade_migration in python MetadataStore constructor.

MLMD v0.15.0

Release 0.15.0

Major Features and Improvements

• Supports Sqlite for Windows and adds scripts to build wheels for python3 in
  Windows.
• Provides GetContextTypes to list all Context Types.
• MLMD ConnectionConfig provides an option to disable an automatic upgrade.
• Supports downgrade of the database schema version to older versions.

Bug Fixes and Other Changes

• Depended on tensorflow>=1.15,<3
• Starting from 1.15, package
  tensorflow comes with GPU support. Users won't need to choose between
  tensorflow and tensorflow-gpu.
• Caveat: tensorflow 2.0.0 is an exception and does not have GPU
  support. If tensorflow-gpu 2.0.0 is installed before installing
  ml_metadata, it will be replaced with tensorflow 2.0.0.
  Re-install tensorflow-gpu 2.0.0 if needed.

Breaking Changes

Deprecations

MLMD v1.15.0-rc0

Release 0.15.0

Major Features and Improvements

• Add Dockerfile for building a containerized version of the MLMD gRPC server.
• Add support for connecting to a MYSQL Metadata Source via Unix sockets.
• Add support to pass mysql connection configuration as command line
  parameters to the MLMD gRPC server.
• Provides the ability for metadata_store.py to communicate with the MLMD gRPC
  server, as an alternative to connecting directly with a database.

Bug Fixes and Other Changes

Breaking Changes

Deprecations

Release v0.14.0

Release 0.14.0

Major Features and Improvements

• Add Context and ContextType to MLMD data model, which are used for capturing
  grouping concepts (e.g., Project, Pipeline, Owner, etc) of Artifacts and
  Executions.
• Add CACHED state to Execution state enum to model an execution that is
  skipped due to cached results.
• Add the ability to list all instances of ArtifactType and ExecutionType.
• Support Type update and enforce backward compatibility.
• Support atomic creation and publishing of an execution.
• Support building a manylinux2010 compliant wheel in docker so that it works
  in other linux OS outside of Ubuntu.
• Provide MLMD migration scheme to migrate out-of-date MLMD instance.
• Support creating and querying ContextType.
• Support creating, updating and querying Context instances.
• Support grouping artifact and executions into contexts.
• Support querying related artifacts and executions through contexts.

Bug Fixes and Other Changes

Breaking changes

Deprecations

v0.13.2

Version 0.13.2

Major Features and Improvements

• Established ML Metadata as a standalone package.
• Provides a way to store information about how each artifact (e.g. file) was
  generated.
• Provides tools for determining provenance.

Bug Fixes and Other Changes

Breaking changes

Deprecations