Releases
0.13.0
Major Features and Improvements
Adds support for Python 3.5
Initial version of following orchestration platform supported:
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.
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