TFX 1.2.0

Major Features and Improvements

• Added RuntimeParam support for Trainer's custom_config.
• TFX Trainer and Pusher now support Vertex, which can be enabled with
  ENABLE_VERTEX_KEY key in custom_config.

Breaking Changes

For Pipeline Authors

• N/A

For Component Authors

• N/A

Deprecations

• N/A

Bug Fixes and Other Changes

• Fixed the issue that kfp_pod_name is not generated as an execution property
  for Kubeflow Pipelines.
• Fixed issue when InputValuePlaceholder is used as component parameter in
  container based component.
• Depends on kubernetes>=10.0.1,<13
• CsvToExample now supports multi-line strings.
• tfx.benchmarks package was removed from the Python TFX wheel. This package
  is used only for benchmarking and not useful for end users.
• Fixed the issue for fairness_indicator_thresholds support of Evaluator.
• Depends on apache-beam[gcp]>=2.31,<3.
• Depends on kfp-pipeline-spec>=0.1.8,<0.2.
• Depends on ml-metadata>=1.2.0,<1.3.0.
• Depends on struct2tensor>=0.33.0,<0.34.0.
• Depends on tensorflow>=1.15.2,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,<2.6.
• Depends on tensorflow-data-validation>=1.2.0,<1.3.0.
• Depends on tensorflow-model-analysis>=0.33.0,<0.34.0.
• Depends on tensorflow-transform>=1.2.0,<1.3.0.
• Depends on tfx-bsl>=1.2.0,<1.3.0.

Documentation Updates

• N/A