Github user jkbradley commented on a diff in the pull request:

    https://github.com/apache/spark/pull/18742#discussion_r131287028
  
    --- Diff: python/pyspark/ml/util.py ---
    @@ -61,20 +66,74 @@ def _randomUID(cls):
     
     
     @inherit_doc
    -class MLWriter(object):
    +class BaseReadWrite(object):
    +    """
    +    Base class for MLWriter and MLReader. Stores information about the 
SparkContext
    +    and SparkSession.
    +
    +    .. versionadded:: 2.3.0
    +    """
    +
    +    def __init__(self):
    +        self._sparkSession = None
    +
    +    def context(self, sqlContext):
    +        """
    +        Sets the Spark SQLContext to use for saving/loading.
    +
    +        .. note:: Deprecated in 2.1 and will be removed in 3.0, use 
session instead.
    +        """
    +        raise NotImplementedError("MLWriter is not yet implemented for 
type: %s" % type(self))
    +
    +    def session(self, sparkSession):
    +        """
    +        Sets the Spark Session to use for saving/loading.
    +        """
    +        self._sparkSession = sparkSession
    +        return self
    +
    +    def sparkSession(self):
    +        if self._sparkSession is None:
    +            self._sparkSession = SparkSession.builder.getOrCreate()
    +        return self._sparkSession
    +
    +    @property
    +    def sc(self):
    +        return self.sparkSession().sparkContext
    +
    +
    +@inherit_doc
    +class MLWriter(BaseReadWrite):
         """
         Utility class that can save ML instances.
     
         .. versionadded:: 2.0.0
         """
     
    +    def __init__(self):
    +        super(MLWriter, self).__init__()
    +        self.shouldOverwrite = False
    +
    +    def _handleOverwrite(self, path):
    +        from pyspark.ml.wrapper import JavaWrapper
    +
    +        _java_obj = 
JavaWrapper._new_java_obj("org.apache.spark.ml.util.FileSystemOverwrite")
    +        wrapper = JavaWrapper(_java_obj)
    +        wrapper._call_java("handleOverwrite", path, True, 
self.sc._jsc.sc())
    +
         def save(self, path):
             """Save the ML instance to the input path."""
    +        if self.shouldOverwrite:
    +            self._handleOverwrite(path)
    +        self.saveImpl(path)
    +
    +    def saveImpl(self, path):
    --- End diff --
    
    Add doc from Scala


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