Version 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