Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/7976#discussion_r37252849
--- Diff: python/pyspark/ml/feature.py ---
@@ -760,6 +765,60 @@ class StringIndexerModel(JavaModel):
"""
Model fitted by StringIndexer.
"""
+ @property
+ def labels(self):
+ return self._java_obj.labels
+
+
+class IndexToString(JavaTransformer, HasInputCol, HasOutputCol):
+ """
+ Convert provided indexes back to strings using either the metadata on
the input column
+ or user provided labels.
+ Note: By default we keep the original columns during
StringIndexerModel's transformation,
+ so the inverse should only be used on new columns such as predicted
labels.
+ """
+ # a placeholder to make the labels show up in generated doc
+ labels = Param(Params._dummy(), "lables",
+ "Optional labels to be provided by the user, if not
supplied column " +
+ "metadata is read for labels. The default value is an
empty array, " +
+ "but the empty array is ignored and column metadata
used instead.")
+
+ @keyword_only
+ def __init__(self, inputCol=None, outputCol=None, labels=[]):
+ """
+ Initialize this instace of the IndexToString using the provided
java_obj.
+ """
+ super(IndexToString, self).__init__()
+ self._java_obj =
self._new_java_obj("org.apache.spark.ml.feature.IndexToString",
+ self.uid)
+ self.labels = Param(self, "labels",
+ "Optional labels to be provided by the user,
if not supplied column " +
+ "metadata is read for labels. The default
value is an empty array, " +
+ "but the empty array is ignored and column
metadata used instead.")
+ kwargs = self.__init__._input_kwargs
+ self.setParams(**kwargs)
+
+ @keyword_only
+ def setParams(self, inputCol=None, outputCol=None, labels=[]):
+ """
+ setParams(self, inputCol="input", outputCol="output", labels=[])
--- End diff --
correct col defaults: None
---
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