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commit f918a069edfc95ee67426c0e66d13fceaea7c736 Author: Danny McCormick <dannymccorm...@google.com> AuthorDate: Thu Aug 17 15:14:05 2023 -0400 Fix produce/consume pydoc --- sdks/python/apache_beam/ml/transforms/base.py | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/sdks/python/apache_beam/ml/transforms/base.py b/sdks/python/apache_beam/ml/transforms/base.py index 7e13fa39136..54a6bfaaea4 100644 --- a/sdks/python/apache_beam/ml/transforms/base.py +++ b/sdks/python/apache_beam/ml/transforms/base.py @@ -122,12 +122,13 @@ class MLTransform(beam.PTransform[beam.PCollection[ExampleT], MLTransform is a Beam PTransform that can be used to apply transformations to the data. MLTransform is used to wrap the data processing transforms provided by Apache Beam. MLTransform - works in two modes: produce and consume. In the produce mode, + works in two modes: write and read. In the write mode, MLTransform will apply the transforms to the data and store the - artifacts in the artifact_location. In the consume mode, MLTransform - will read the artifacts from the artifact_location and apply the - transforms to the data. The artifact_location should be a valid - storage path where the artifacts can be written to or read from. + artifacts in the write_artifact_location. In the read mode, + MLTransform will read the artifacts from the + read_artifact_location and apply the transforms to the data. The + artifact location should be a valid storage path where the artifacts + can be written to or read from. Note that when consuming artifacts, it is not necessary to pass the transforms since they are inherently stored within the artifacts