Version 1.3.0

Major Features and Improvements

TFX CLI now supports runtime parameter on Kubeflow, Vertex, and Airflow. Use it with '--runtime_parameter=<parameter_name>=<parameter_value>' flag. In the case of multiple runtime parameters, format is as follows: '--runtime_parameter=<parameter_name>=<parameter_value> --runtime_parameter =<parameter_name>=<parameter_value>'
Added Manual node in the experimental orchestrator.
Placeholders support index access and JSON serialization for list type execution properties.
Added ImportSchemaGen which is a dedicated component to import a pre-defined schema file. ImportSchemaGen will replace Importer with simpler syntax and less constraints. You have to pass the file path to the schema file instead of the parent directory unlike Importer.

The import name of KerasTuner has been changed from kerastuner to keras_tuner. The import name of kerastuner is still supported. A warning will occur when import from kerastuner, but does not affect the usage.

The default job name for Google Cloud AI Training jobs was changed from 'tfx_YYYYmmddHHMMSS' to 'tfx_YYYYmmddHHMMSS_xxxxxxxx', where 'xxxxxxxx' is a random 8 digit hexadecimal string.
Fix component to raise error if its input required channel (specified from ComponentSpec) has no artifacts in it.
Fixed an issue where ClientOptions with regional endpoint was incorrectly left out in Vertex AI pusher.
CLI now hides passed flags from user python files in "--pipeline-path". This will prevent errors when user python file tries reading and parsing flags.
Fixed missing type information marker file 'py.typed'.
Depends on apache-beam[gcp]>=2.32,<3.
Depends on google-cloud-bigquery>=1.28.0,<3.
Depends on google-cloud-aiplatform>=0.5.0,<2.
Depends on jinja2>=2.7.3,<4, i.e. now supports Jinja 3.x.
Depends on keras-tuner>=1.0.4,<2.
Depends on kfp>=1.6.1,!=1.7.2,<1.8.2 in [kfp] extra.
Depends on kfp-pipeline-spec>=>=0.1.10,<0.2.
Depends on ml-metadata>=1.3.0,<1.4.0.
Depends on struct2tensor>=0.34.0,<0.35.0.
Depends on tensorflow>=1.15.2,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,<3.
Depends on tensorflow-data-validation>=1.3.0,<1.4.0.
Depends on tensorflow-model-analysis>=0.34.1,<0.35.0.
Depends on tensorflow-serving-api>=1.15,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,<3.
Depends on tensorflow-transform>=1.3.0,<1.4.0.
Depends on tfx-bsl>=1.3.0,<1.4.0.