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author | Zheng RuiFeng <ruifengz@foxmail.com> | 2016-04-13 13:56:23 -0700 |
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committer | Joseph K. Bradley <joseph@databricks.com> | 2016-04-13 13:56:23 -0700 |
commit | fcdd69260ec75c180f4d727ff2625ca9bf0bdad7 (patch) | |
tree | 4a45353bb6e72388c0c310231bd6ad2765768404 /examples/src/main/python | |
parent | a91aaf5a8cca18811c0cccc20f4e77f36231b344 (diff) | |
download | spark-fcdd69260ec75c180f4d727ff2625ca9bf0bdad7.tar.gz spark-fcdd69260ec75c180f4d727ff2625ca9bf0bdad7.tar.bz2 spark-fcdd69260ec75c180f4d727ff2625ca9bf0bdad7.zip |
[SPARK-14509][DOC] Add python CountVectorizerExample
## What changes were proposed in this pull request?
Add python CountVectorizerExample
## How was this patch tested?
manual tests
Author: Zheng RuiFeng <ruifengz@foxmail.com>
Closes #11917 from zhengruifeng/cv_pe.
Diffstat (limited to 'examples/src/main/python')
-rw-r--r-- | examples/src/main/python/ml/count_vectorizer_example.py | 44 |
1 files changed, 44 insertions, 0 deletions
diff --git a/examples/src/main/python/ml/count_vectorizer_example.py b/examples/src/main/python/ml/count_vectorizer_example.py new file mode 100644 index 0000000000..e839f645f7 --- /dev/null +++ b/examples/src/main/python/ml/count_vectorizer_example.py @@ -0,0 +1,44 @@ +# +# 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 CountVectorizer +# $example off$ + +if __name__ == "__main__": + sc = SparkContext(appName="CountVectorizerExample") + sqlContext = SQLContext(sc) + + # $example on$ + # Input data: Each row is a bag of words with a ID. + df = sqlContext.createDataFrame([ + (0, "a b c".split(" ")), + (1, "a b b c a".split(" ")) + ], ["id", "words"]) + + # fit a CountVectorizerModel from the corpus. + cv = CountVectorizer(inputCol="words", outputCol="features", vocabSize=3, minDF=2.0) + model = cv.fit(df) + result = model.transform(df) + result.show() + # $example off$ + + sc.stop() |