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| author | Joseph K. Bradley <joseph@databricks.com> | 2016-03-22 12:11:23 -0700 |
|---|---|---|
| committer | Xiangrui Meng <meng@databricks.com> | 2016-03-22 12:11:37 -0700 |
| commit | 7e3423b9c03c9812d404134c3d204c4cfea87721 (patch) | |
| tree | b922610e318774c1db7da6549ee0932b21fe3090 /R | |
| parent | 297c20226d3330309c9165d789749458f8f4ab8e (diff) | |
| download | spark-7e3423b9c03c9812d404134c3d204c4cfea87721.tar.gz spark-7e3423b9c03c9812d404134c3d204c4cfea87721.tar.bz2 spark-7e3423b9c03c9812d404134c3d204c4cfea87721.zip | |
[SPARK-13951][ML][PYTHON] Nested Pipeline persistence
Adds support for saving and loading nested ML Pipelines from Python. Pipeline and PipelineModel do not extend JavaWrapper, but they are able to utilize the JavaMLWriter, JavaMLReader implementations.
Also:
* Separates out interfaces from Java wrapper implementations for MLWritable, MLReadable, MLWriter, MLReader.
* Moves methods _stages_java2py, _stages_py2java into Pipeline, PipelineModel as _transfer_stage_from_java, _transfer_stage_to_java
Added new unit test for nested Pipelines. Abstracted validity check into a helper method for the 2 unit tests.
Author: Joseph K. Bradley <joseph@databricks.com>
Closes #11866 from jkbradley/nested-pipeline-io.
Closes #11835
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