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Revert "Update RELEASE.md (#3520)" (#3523)
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RELEASE.md

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## Major Features and Improvements
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* Added a simple query based driver that supports Span spec and static_range.
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* Added e2e rolling window example/test for Span Resolver.
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* Performance improvement in Transform by avoiding excess encodings and
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decodings when it materializes transformed examples or generates statistics
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(both enabled by default).
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* Added an accessor (`.data_view_decode_fn`) to the decoder function wrapped in
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the DataView in Trainer `FnArgs.data_accessor`.
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## Breaking Changes
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* Starting in this version, following artifacts will be stored in new format,
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but artifacts produced by older versions can be read in a backwards
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compatible way:
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* Change split sub-folder format to 'Split-<split_name>', this applies to
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all artifacts that contain splits. Old format '<split_name>' can still
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be loaded by TFX.
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* Change Model artifact's sub-folder name to 'Format-TFMA' for eval model
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and 'Format-Serving' for serving model. Old Model artifact format
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('eval_model_dir'/'serving_model_dir') can still be loaded by TFX.
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* Change ExampleStatistics artifact payload to binary proto
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FeatureStats.pb file. Old payload format (tfrecord stats_tfrecord file)
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can still be loaded by TFX.
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* Change ExampleAnomalies artifact payload to binary proto SchemaDiff.pb
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file. Old payload format (text proto anomalies.pbtxt file) is deprecated
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as TFX doesn't have downstream components that take ExampleAnomalies
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artifact.
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### For Pipeline Authors
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* CLI requires Apache Airflow 1.10.14 or later. If you are using an older
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version of airflow, you can still copy runner definition to the DAG
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directory manually and run using airflow UIs.
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### For Component Authors
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* N/A
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## Deprecations
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* Deprecated input/output compatibility aliases for Transform and
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StatisticsGen.
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## Bug Fixes and Other Changes
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* Fix in the component colabs.
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* The `tfx_version` custom property of output artifacts is now set by the
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default publisher to the TFX SDK version.
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* Depends on `absl-py>=0.9,<0.13`.
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* Depends on `kfp-pipeline-spec>=0.1.7,<0.2`.
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* Depends on `ml-metadata>=0.29.0,<0.30.0`.
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* Depends on `packaging>=20,<21`.
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* Depends on `struct2tensor>=0.29.0,<0.30.0`.
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* Depends on `tensorflow-data-validation>=0.29.0,<0.30.0`.
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* Depends on `tensorflow-model-analysis>=0.29.0,<0.30.0`.
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* Depends on `tensorflow-transform>=0.29.0,<0.30.0`.
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* Depends on `tfx-bsl>=0.29.0,<0.30.0`.
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## Documentation Updates
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* N/A
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* Simplified Apache Spark and Flink example deployment scripts by using Beam's
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SparkRunner and FlinkRunner classes.
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* Upgraded example Apache Flink deployment to Flink 1.12.1.
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* Upgraded example Apache Spark deployment to Spark 2.4.7.
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* Added the "TFX Python function component" notebook tutorial.

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