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    2c170dd3
    [SPARK-15134][EXAMPLE] Indent SparkSession builder patterns and update... · 2c170dd3
    Dongjoon Hyun authored
    [SPARK-15134][EXAMPLE] Indent SparkSession builder patterns and update binary_classification_metrics_example.py
    
    ## What changes were proposed in this pull request?
    
    This issue addresses the comments in SPARK-15031 and also fix java-linter errors.
    - Use multiline format in SparkSession builder patterns.
    - Update `binary_classification_metrics_example.py` to use `SparkSession`.
    - Fix Java Linter errors (in SPARK-13745, SPARK-15031, and so far)
    
    ## How was this patch tested?
    
    After passing the Jenkins tests and run `dev/lint-java` manually.
    
    Author: Dongjoon Hyun <dongjoon@apache.org>
    
    Closes #12911 from dongjoon-hyun/SPARK-15134.
    2c170dd3
    History
    [SPARK-15134][EXAMPLE] Indent SparkSession builder patterns and update...
    Dongjoon Hyun authored
    [SPARK-15134][EXAMPLE] Indent SparkSession builder patterns and update binary_classification_metrics_example.py
    
    ## What changes were proposed in this pull request?
    
    This issue addresses the comments in SPARK-15031 and also fix java-linter errors.
    - Use multiline format in SparkSession builder patterns.
    - Update `binary_classification_metrics_example.py` to use `SparkSession`.
    - Fix Java Linter errors (in SPARK-13745, SPARK-15031, and so far)
    
    ## How was this patch tested?
    
    After passing the Jenkins tests and run `dev/lint-java` manually.
    
    Author: Dongjoon Hyun <dongjoon@apache.org>
    
    Closes #12911 from dongjoon-hyun/SPARK-15134.
vector_indexer_example.py 1.46 KiB
#
# 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 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)

    # Create new column "indexed" with categorical values transformed to indices
    indexedData = indexerModel.transform(data)
    indexedData.show()
    # $example off$

    spark.stop()