[SPARK-11978][ML] Move dataset_example.py to examples/ml and rename to dataframe_example.py

Since ```Dataset``` has a new meaning in Spark 1.6, we should rename it to avoid confusion.
#9873 finished the work of Scala example, here we focus on the Python one.
Move dataset_example.py to ```examples/ml``` and rename to ```dataframe_example.py```.
BTW, fix minor missing issues of #9873.
cc mengxr

Author: Yanbo Liang <ybliang8@gmail.com>

Closes #9957 from yanboliang/SPARK-11978.

1 files changed, 0 insertions, 63 deletions

diff --git a/examples/src/main/python/mllib/dataset_example.py b/examples/src/main/python/mllib/dataset_example.py
deleted file mode 100644
index e23ecc0c5d..0000000000
--- a/examples/src/main/python/mllib/dataset_example.py
+++ /dev/null
@@ -1,63 +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.
-#
-
-"""
-An example of how to use DataFrame as a dataset for ML. Run with::
-    bin/spark-submit examples/src/main/python/mllib/dataset_example.py
-"""
-from __future__ import print_function
-
-import os
-import sys
-import tempfile
-import shutil
-
-from pyspark import SparkContext
-from pyspark.sql import SQLContext
-from pyspark.mllib.util import MLUtils
-from pyspark.mllib.stat import Statistics
-
-
-def summarize(dataset):
-    print("schema: %s" % dataset.schema().json())
-    labels = dataset.map(lambda r: r.label)
-    print("label average: %f" % labels.mean())
-    features = dataset.map(lambda r: r.features)
-    summary = Statistics.colStats(features)
-    print("features average: %r" % summary.mean())
-
-if __name__ == "__main__":
-    if len(sys.argv) > 2:
-        print("Usage: dataset_example.py <libsvm file>", file=sys.stderr)
-        exit(-1)
-    sc = SparkContext(appName="DatasetExample")
-    sqlContext = SQLContext(sc)
-    if len(sys.argv) == 2:
-        input = sys.argv[1]
-    else:
-        input = "data/mllib/sample_libsvm_data.txt"
-    points = MLUtils.loadLibSVMFile(sc, input)
-    dataset0 = sqlContext.inferSchema(points).setName("dataset0").cache()
-    summarize(dataset0)
-    tempdir = tempfile.NamedTemporaryFile(delete=False).name
-    os.unlink(tempdir)
-    print("Save dataset as a Parquet file to %s." % tempdir)
-    dataset0.saveAsParquetFile(tempdir)
-    print("Load it back and summarize it again.")
-    dataset1 = sqlContext.parquetFile(tempdir).setName("dataset1").cache()
-    summarize(dataset1)
-    shutil.rmtree(tempdir)