Release 0.13.0

Major Features and Improvements

• Adds support for Python 3.5
• Initial version of following orchestration platform supported:
  • Kubeflow
• Added TensorFlow Model Analysis Colab example
• Supported split ratio for ExampleGen components
• Supported running a single executor independently

Bug fixes and other changes

• Fixes issue #43 that prevent new execution in some scenarios
• Fixes issue #47 that causes ImportError on chicago_taxi execution on dataflow
• Depends on apache-beam[gcp]>=2.12,<3
• Depends on tensorflow-data-validation>=0.13.1,<0.14
• Depends on tensorflow-model-analysis>=0.13.2,<0.14
• Depends on tensorflow-transform>=0.13,<0.14
• Deprecations:
  • PipelineDecorator is deprecated. Please construct a pipeline directly from a list of components instead.
• Increased verbosity of logging to container stdout when running under
  Kubeflow Pipelines.
• Updated developer tutorial to support Python 3.5+

Breaking changes

• Examples code are moved from 'examples' to 'tfx/examples': this ensures that PyPi package contains only one top level python module 'tfx'.

Things to notice for upgrading

• Multiprocessing on Mac OS >= 10.13 might crash for Airflow. See
  AIRFLOW-3326
  for details and solution.

Release 0.13.0rc2

Major Features and Improvements

• Adds support for Python 3.5
• Initial version of following orchestration platform supported:
  • Kubeflow
• Added TensorFlow Model Analysis Colab example
• Supported split ratio for ExampleGen components
• Supported running a single executor independently

Bug fixes and other changes

• Fixes issue #43 that prevent new execution in some scenarios
• Fixes issue #47 that causes ImportError on chicago_taxi execution on dataflow
• Depends on apache-beam[gcp]>=2.12,<3
• Depends on tensorflow-data-validation>=0.13.1,<0.14
• Depends on tensorflow-model-analysis>=0.13.2,<0.14
• Depends on tensorflow-transform>=0.13,<0.14
• Deprecations:
  • PipelineDecorator is deprecated. Please construct a pipeline directly from a list of components instead.
• Increased verbosity of logging to container stdout when running under
  Kubeflow Pipelines.

Breaking changes

• Examples code are moved from 'examples' to 'tfx/examples': this ensures that PyPi package contains only one top level python module 'tfx'.

Release 0.13.0rc1

Major Features and Improvements

• Adds support for Python 3.5
• Initial version of following orchestration platform supported:
  • Kubeflow
• Added TensorFlow Model Analysis Colab example
• Supported split ratio for ExampleGen components
• Supported running a single executor independently

Bug fixes and other changes

• Fixes issue #43 that prevent new execution in some scenarios
• Depends on apache-beam[gcp]>=2.12,<3
• Depends on tensorflow-data-validation>=0.13.1,<0.14
• Depends on tensorflow-model-analysis>=0.13.2,<0.14
• Depends on tensorflow-transform>=0.13,<0.14
• Deprecations:
  • PipelineDecorator is deprecated. Please construct a pipeline directly from a list of components instead.

Breaking changes

• Examples code are moved from 'examples' to 'tfx/examples': this ensures that PyPi package contains only one top level python module 'tfx'

Release 0.13.0rc0

Major Features and Improvements

• Adds support for Python 3.5
• Initial version of following orchestration platform supported:
  • Kubeflow
• Added TensorFlow Model Analysis Colab example
• Supported split ratio for ExampleGen components.

Bug fixes and other changes

• Fixes issue #43 that prevent new execution in some scenarios
• Depends on apache-beam[gcp]>=2.12,<3
• Depends on tensorflow-data-validation>=0.13.1,<0.14
• Depends on tensorflow-model-analysis>=0.13.2,<0.14
• Depends on tensorflow-transform>=0.13,<0.14
• Deprecations:
  • PipelineDecorator is deprecated. Please construct a pipeline directly from a list of components instead.

Breaking changes

• Examples code are moved from 'examples' to 'tfx/examples': this ensures that PyPi package contains only one top level python module 'tfx'.