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authorBenFradet <benjamin.fradet@gmail.com>2015-12-08 12:45:34 -0800
committerJoseph K. Bradley <joseph@databricks.com>2015-12-08 12:45:34 -0800
commit06746b3005e5e9892d0314bee3bfdfaebc36d3d4 (patch)
treed0bdd5af1a56b07fe00c6c5c44a0da3f276338e6 /examples/src/main/python
parent5cb4695051e3dac847b1ea14d62e54dcf672c31c (diff)
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[SPARK-12159][ML] Add user guide section for IndexToString transformer
Documentation regarding the `IndexToString` label transformer with code snippets in Scala/Java/Python. Author: BenFradet <benjamin.fradet@gmail.com> Closes #10166 from BenFradet/SPARK-12159.
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diff --git a/examples/src/main/python/ml/index_to_string_example.py b/examples/src/main/python/ml/index_to_string_example.py
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+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements. See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License. You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+from __future__ import print_function
+
+from pyspark import SparkContext
+# $example on$
+from pyspark.ml.feature import IndexToString, StringIndexer
+# $example off$
+from pyspark.sql import SQLContext
+
+if __name__ == "__main__":
+ sc = SparkContext(appName="IndexToStringExample")
+ sqlContext = SQLContext(sc)
+
+ # $example on$
+ df = sqlContext.createDataFrame(
+ [(0, "a"), (1, "b"), (2, "c"), (3, "a"), (4, "a"), (5, "c")],
+ ["id", "category"])
+
+ stringIndexer = StringIndexer(inputCol="category", outputCol="categoryIndex")
+ model = stringIndexer.fit(df)
+ indexed = model.transform(df)
+
+ converter = IndexToString(inputCol="categoryIndex", outputCol="originalCategory")
+ converted = converter.transform(indexed)
+
+ converted.select("id", "originalCategory").show()
+ # $example off$
+
+ sc.stop()