Github user harsha2010 commented on a diff in the pull request:

    https://github.com/apache/spark/pull/6358#discussion_r31499604
  
    --- Diff: examples/src/main/python/ml/cross_validator.py ---
    @@ -0,0 +1,87 @@
    +#
    +# 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.ml import Pipeline
    +from pyspark.ml.classification import LogisticRegression
    +from pyspark.ml.evaluation import BinaryClassificationEvaluator
    +from pyspark.ml.feature import HashingTF, Tokenizer
    +from pyspark.ml.tuning import CrossValidator, ParamGridBuilder
    +from pyspark.sql import Row, SQLContext
    +
    +"""
    +A simple example demonstrating model selection using CrossValidator.
    +This example also demonstrates how Pipelines are Estimators.
    +Run with:
    +
    +  bin/spark-submit examples/src/main/python/ml/cross_validator.py
    +"""
    +
    +if __name__ == "__main__":
    +    sc = SparkContext(appName="CrossValidatorExample")
    +    sqlContext = SQLContext(sc)
    +
    +    # Prepare training documents, which are labeled.
    +    LabeledDocument = Row("id", "text", "label")
    +    training = sc.parallelize([(0, "a b c d e spark", 1.0),
    --- End diff --
    
    @jkbradley , sure..is this checked into master yet? on master i notice the 
most recent change was to change the regularization and one of the test examples


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