Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/10469#discussion_r49408919
--- Diff: python/pyspark/ml/util.py ---
@@ -52,3 +71,141 @@ def _randomUID(cls):
concatenates the class name, "_", and 12 random hex chars.
"""
return cls.__name__ + "_" + uuid.uuid4().hex[12:]
+
+
+@inherit_doc
+class MLWriter(object):
+ """
+ Abstract class for utility classes that can save ML instances.
+
+ .. versionadded:: 2.0.0
+ """
+
+ def __init__(self, instance):
+ self._jwrite = instance._java_obj.write()
+
+ @since("2.0.0")
+ def save(self, path):
+ """Saves the ML instances to the input path."""
+ self._jwrite.save(path)
+
+ @since("2.0.0")
+ def overwrite(self):
+ """Overwrites if the output path already exists."""
+ self._jwrite.overwrite()
+ return self
+
+ @since("2.0.0")
+ def context(self, sqlContext):
+ """Sets the SQL context to use for saving."""
+ self._jwrite.context(sqlContext._ssql_ctx)
+ return self
+
+
+@inherit_doc
+class MLWritable(object):
+ """
+ Mixin for ML instances that provide MLWriter through their Scala
+ implementation.
+
+ .. versionadded:: 2.0.0
+ """
+
+ @since("2.0.0")
--- End diff --
Will this annotation get inherited to classes which are added in later
Spark versions? (Can you please try generating the docs to see if it appears
for LinearRegression?) If so, let's omit it.
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