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examples/src/main/python/ml/vector_indexer_example.py
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HyukjinKwon
[SPARK-32138] Drop Python 2.7, 3.4 and 3.5
14 июл 2020, 05:22
14 июл 2020, 05:22
4ad9bfd
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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. # # $example on$ from pyspark.ml.feature import VectorIndexer # $example off$ from pyspark.sql import SparkSession if __name__ == "__main__": spark = SparkSession\ .builder\ .appName("VectorIndexerExample")\ .getOrCreate() # $example on$ data = spark.read.format("libsvm").load("data/mllib/sample_libsvm_data.txt") indexer = VectorIndexer(inputCol="features", outputCol="indexed", maxCategories=10) indexerModel = indexer.fit(data) categoricalFeatures = indexerModel.categoryMaps print("Chose %d categorical features: %s" % (len(categoricalFeatures), ", ".join(str(k) for k in categoricalFeatures.keys()))) # Create new column "indexed" with categorical values transformed to indices indexedData = indexerModel.transform(data) indexedData.show() # $example off$ spark.stop()