Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/17978#discussion_r116652102
--- Diff: python/pyspark/ml/feature.py ---
@@ -2111,26 +2112,45 @@ class StringIndexer(JavaEstimator, HasInputCol,
HasOutputCol, HasHandleInvalid,
>>> loadedInverter = IndexToString.load(indexToStringPath)
>>> loadedInverter.getLabels() == inverter.getLabels()
True
+ >>> stringIndexer.getStringOrderType()
+ 'frequencyDesc'
+ >>> stringIndexer = StringIndexer(inputCol="label",
outputCol="indexed", handleInvalid='error',
+ ... stringOrderType="alphabetDesc")
+ >>> model = stringIndexer.fit(stringIndDf)
+ >>> td = model.transform(stringIndDf)
+ >>> sorted(set([(i[0], i[1]) for i in td.select(td.id,
td.indexed).collect()]),
+ ... key=lambda x: x[0])
+ [(0, 2.0), (1, 1.0), (2, 0.0), (3, 2.0), (4, 2.0), (5, 0.0)]
.. versionadded:: 1.4.0
"""
+ stringOrderType = Param(Params._dummy(), "stringOrderType",
+ "How to order labels of string column. The
first label after " +
+ "ordering is assigned an index of 0. Supported
options: " +
+ "frequencyDesc, frequencyAsc, alphabetDesc,
alphabetAsc.",
--- End diff --
I think this should be generated instead of hardcoded - you can find a
example on python..
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