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Diffstat (limited to 'examples/src/main/python/ml/normalizer_example.py')
-rw-r--r-- | examples/src/main/python/ml/normalizer_example.py | 41 |
1 files changed, 0 insertions, 41 deletions
diff --git a/examples/src/main/python/ml/normalizer_example.py b/examples/src/main/python/ml/normalizer_example.py deleted file mode 100644 index 833d93e976..0000000000 --- a/examples/src/main/python/ml/normalizer_example.py +++ /dev/null @@ -1,41 +0,0 @@ -# -# 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 -from pyspark.sql import SQLContext -# $example on$ -from pyspark.ml.feature import Normalizer -# $example off$ - -if __name__ == "__main__": - sc = SparkContext(appName="NormalizerExample") - sqlContext = SQLContext(sc) - - # $example on$ - dataFrame = sqlContext.read.format("libsvm").load("data/mllib/sample_libsvm_data.txt") - - # Normalize each Vector using $L^1$ norm. - normalizer = Normalizer(inputCol="features", outputCol="normFeatures", p=1.0) - l1NormData = normalizer.transform(dataFrame) - - # Normalize each Vector using $L^\infty$ norm. - lInfNormData = normalizer.transform(dataFrame, {normalizer.p: float("inf")}) - # $example off$ - - sc.stop() |