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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
