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Commits on Sep 27, 2019

• Update RELEASE.md in r0.14 branch

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Commits on Sep 12, 2019

• Prepare 0.14 release

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• Updated README.md instructions for 0.14.0

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Commits on Sep 11, 2019

• Fix e2e tests to work on multiple orchestrators.

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• Update setup.py for slack example

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Commits on Sep 9, 2019

• Fixes test for slack component example.

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• Update test dependencies.

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• Update setup.cfg to exclude custom_components directory in pytest.

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Commits on Aug 30, 2019

• Updating Airflow workshop to TFX 0.14.0

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• Update TFX workshop doc for 0.14.0rc1.

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Commits on Aug 29, 2019

• Create 0.14.0rc1 release tag.

  

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• Rename component "name" argument to "instance_name" and remove "component_name".

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• Deprecate airflow_runner.AirflowDAGRunner and runner.KubeflowRunner after 0.14 release

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• Added run context for tfx pipeline

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• Correction to QueryBasedExampleGen pydoc.

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• Updated pydocs for all TFX components.

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• Add Kubeflow-AI Platform Pusher integration test

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• Update the deprecated call sites to `tf.gfile.Makedirs()` with `tf.io.gfile.makedirs()`.

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• Add default value for RuntimeParameter class.

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Commits on Aug 28, 2019

• Refactor EXECUTOR_CLASS into EXECUTOR_SPEC.

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• Fix typo in Kubeflow-GCP integration test.

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• Link execution with context

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• Update standard_artifacts.py to include note that upcoming changes are expected.

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• Add context put/get support in metadata.py

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• Add export_to_pipeline() method to InteractiveContext to export code content from a specified notebook to an output file.

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• Update 0.14.0 release notes regarding ExampleGen.

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• Break up GCP-Dataflow integration test.

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Commits on Aug 27, 2019

• Add integration test for AI Platform Training extension.

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Commits on Aug 26, 2019

• Update interactive notebook formatter registration to be skipped outside notebook context.

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• Automated rollback of commit 7a5fe4537f8d49795b4aa6ecefb06afd1dbcd66e

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• Prepare TFX 0.14.0 release.

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Commits on Aug 24, 2019

• Change deprecated import path for get_split_uri in notebook example.

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• Add IPython interactive notebook visualizations for TFX classes.

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• Narrow numpy dependency due to change to '_pickle' in numpy.random in 1.17. This is necessary for Cloud Dataflow 2.15.

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Commits on Aug 23, 2019

• Make infer_feature_shape default to False for backward compatibility.

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