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RELEASE.md

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Version 1.10.0-rc0

Major Features and Improvements

  • Saved tuner results in pandas records formatted JSON.
  • TFX Transform now supports tf.SequenceExample natively. The native path can be activated by providing TensorRepresentations in the Schema.
  • TFX Transform now supports reading raw and materializing transformed data in Apache Parquet format.
  • ExampleDiff outputs statistics on the matching process, and optional counts of paired feature values.

Breaking Changes

  • N/A

For Pipeline Authors

  • N/A

For Component Authors

  • N/A

Deprecations

  • N/A

Bug Fixes and Other Changes

  • Type hint on BaseComponent.inputs and BaseComponent.outputs corrected to be Channel subclasses.
  • Added input_optional parameter to ChannelParameter. This allows component authors to declare that even if a channel is optional, if it is provided during pipeline definition time, then it must have resolved inputs during run time.
  • Allow latest apache-airflow 2.x versions.
  • Moved tflite-support related dependencies from [examples] to a separate [tflite-support] extra.
  • Output artifacts from multiple invocations of the same component are given unique names, avoiding duplication errors, especially in the InteractiveContext.

Dependency Updates

Package Name Version Constraints Previously (in v1.9.0) Comments
google-api-core <2 N/A Added to help pip dependency resolution. google-api-core was already a transitive dependency.
apache-beam[gcp] >=2.40,<3 >=2.38,<3 Synced release train
attrs >=19.3.0,<22 >=19.3.0,<21 Allow more recent versions
pyarrow >=6,<7 >=1,<6 Synced release train
ml-metadata ~=1.10.0 ~=1.9.0 Synced release train
struct2tensor ~=0.41.0 ~=0.40.0 Synced release train
tensorflow-data-validation ~=1.10.0 ~=1.9.0 Synced release train
tensorflow-model-analysis ~=0.41.0 ~=0.40.0 Synced release train
tensorflow-transform ~=1.10.1 ~=1.9.0 Synced release train
tfx-bsl ~=1.10.1 ~=1.9.0 Synced release train

Documentation Updates

  • N/A