TFX 1.0.0-rc2

Major Features and Improvements

• Added tfx.v1 Public APIs, please refer to
  API doc for details.
• Transform component now computes pre-transform and post-transform statistics
  and stores them in new, indvidual outputs ('pre_transform_schema',
  'pre_transform_stats', 'post_transform_schema', 'post_transform_stats',
  'post_transform_anomalies'). This can be disabled by setting
  disable_statistics=True in the Transform component.
• BERT cola and mrpc examples now demonstrate how to calculate statistics for
  NLP features.
• TFX CLI now supports
  Vertex Pipelines.
  use it with --engine=vertex flag.
• Telemetry: Only first-party tfx component's executor telemetry will be
  collected. All other executors will be recorded as third_party_executor.
  For labels longer than 63, keep first 63 characters (instead of last 63
  characters before).
• Supports text type (use proto json string format) RuntimeParam for protos.
• Combined/moved taxi's runtime_parameter, kubeflow_local and kubleflow_gcp
  example pipelines into one penguin_pipeline_kubeflow example
• Transform component now supports passing stats_options_updater_fn directly
  as well as through the module file.
• Placeholders support accessing artifact property and custom property.
• Removed the extra node information in IR for KubeflowDagRunner, to reduce
  size of generated IR.

Breaking Changes

• Removed unneccessary default values for required component input Channels.
• The _PropertyDictWrapper internal wrapper for component.inputs and
  component.outputs was removed: component.inputs and component.outputs
  are now unwrapped dictionaries, and the attribute accessor syntax (e.g.
  components.outputs.output_name) is no longer supported. Please use the
  dictionary indexing syntax (e.g. components.outputs['output_name'])
  instead.

For Pipeline Authors

• N/A

For Component Authors

• Apache Beam support is migrated from TFX Base Components and Executors to
  dedicated Beam Components and Executors. BaseExecutor will no longer embed
  beam_pipeline_args. Custom executors for Beam powered components should
  now extend BaseBeamExecutor instead of BaseExecutor.

Deprecations

• Deprecated nested RuntimeParam for Proto, Please use text type (proto json
  string) RuntimeParam instead of Proto dict with nested RuntimeParam in it.

Bug Fixes and Other Changes

• Forces keyword arguments for AirflowComponent to make it compatible with
  Apache Airflow 2.1.0 and later.
• Fixed issue where passing analyzer_cache to tfx.components.Transform
  before there are any Transform cache artifacts published would fail.
• Included type information according to PEP-561. However, protobuf generated
  files don't have type information, and you might need to ignore errors from
  them. For example, if you are using mypy, see
  the related doc.
• Removed six dependency.
• Depends on apache-beam[gcp]>=2.29,<3.
• Depends on google-cloud-bigquery>=1.28.0,<2.21
• Depends on ml-metadata>=1.0.0,<1.1.0.
• Depends on protobuf>=3.13,<4.
• Depends on struct2tensor>=0.31.0,<0.32.0.
• Depends on tensorflow>=1.15.2,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,<3.
• Depends on tensorflow-data-validation>=1.0.0,<1.1.0.
• Depends on tensorflow-hub>=0.9.0,<0.13.
• Depends on tensorflowjs>=3.6.0,<4.
• Depends on tensorflow-model-analysis>=0.31.0,<0.32.0.
• Depends on tensorflow-serving-api>=1.15,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,<3.
• Depends on tensorflow-transform>=1.0.0,<1.1.0.
• Depends on tfx-bsl>=1.0.0,<1.1.0.

Documentation Updates

• Update the Guide of TFX to adopt 1.0 API.
• TFT and TFDV component documentation now describes how to
  configure pre-transform and post-transform statistics, which can be used for
  validating text features.