Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/18888#discussion_r132599249
--- Diff: python/pyspark/ml/pipeline.py ---
@@ -242,3 +319,74 @@ def _to_java(self):
JavaParams._new_java_obj("org.apache.spark.ml.PipelineModel",
self.uid, java_stages)
return _java_obj
+
+
+@inherit_doc
+class SharedReadWrite():
+ """
+ Functions for :py:class:`MLReader` and :py:class:`MLWriter` shared
between
+ :py:class:`Pipeline` and :py:class`PipelineModel`
+
+ .. versionadded:: 2.3.0
+ """
+
+ @staticmethod
+ def checkStagesForJava(stages):
+ allStagesAreJava = True
+ for stage in stages:
+ if not isinstance(stage, JavaMLWritable):
+ allStagesAreJava = False
+ break
+ return allStagesAreJava
+
+ @staticmethod
+ def validateStages(stages):
+ """
+ Check that all stages are Writable
+ """
+ for stage in stages:
+ if not isinstance(stage, MLWritable):
+ raise ValueError("Pipeline write will fail on this pipline
" +
--- End diff --
typo: pipline
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