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-rw-r--r--examples/src/main/python/ml/quantile_discretizer_example.py39
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diff --git a/examples/src/main/python/ml/quantile_discretizer_example.py b/examples/src/main/python/ml/quantile_discretizer_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
+
+# $example on$
+from pyspark.ml.feature import QuantileDiscretizer
+# $example off$
+from pyspark.sql import SparkSession
+
+
+if __name__ == "__main__":
+ spark = SparkSession.builder.appName("PythonQuantileDiscretizerExample").getOrCreate()
+
+ # $example on$
+ data = [(0, 18.0,), (1, 19.0,), (2, 8.0,), (3, 5.0,), (4, 2.2,)]
+ dataFrame = spark.createDataFrame(data, ["id", "hour"])
+
+ discretizer = QuantileDiscretizer(numBuckets=3, inputCol="hour", outputCol="result")
+
+ result = discretizer.fit(dataFrame).transform(dataFrame)
+ result.show()
+ # $example off$
+
+ spark.stop()