Release 0.21.2

Version 0.21.2

Major Features and Improvements

• Updated StatisticsGen to optionally consume a schema Artifact.
• Added support for configuring the StatisticsGen component via serializable
  parts of StatsOptions.
• Added Keras guide doc.
• Changed Iris model_to_estimator e2e example to use generic Trainer.
• Demonstrated how TFLite is supported in TFX by extending MNIST example
  pipeline to also train a TFLite model.

Bug fixes and other changes

• Fix the behavior of Trainer Tensorboard visualization when caching is used.
• Added component documentation and guide on using TFLite in TFX.
• Relaxed the PyYaml dependency.

Deprecations

• Model Validator (its functionality is now provided by the Evaluator).

Breaking changes

For pipeline authors

For component authors

Documentation updates