diff options
author | Zheng RuiFeng <ruifengz@foxmail.com> | 2016-04-26 14:38:29 -0700 |
---|---|---|
committer | Joseph K. Bradley <joseph@databricks.com> | 2016-04-26 14:38:29 -0700 |
commit | e88476c8c6a74a92eb70b4bda8394936e0036729 (patch) | |
tree | 6aee5161689f6dc4491cecf848f7163ba75f210c /examples/src/main | |
parent | e4f3eec5b750389ce3f7c6d023bb7db3b0f8cf29 (diff) | |
download | spark-e88476c8c6a74a92eb70b4bda8394936e0036729.tar.gz spark-e88476c8c6a74a92eb70b4bda8394936e0036729.tar.bz2 spark-e88476c8c6a74a92eb70b4bda8394936e0036729.zip |
[SPARK-14514][DOC] Add python example for VectorSlicer
## What changes were proposed in this pull request?
Add the missing python example for VectorSlicer
## How was this patch tested?
manual tests
Author: Zheng RuiFeng <ruifengz@foxmail.com>
Closes #12282 from zhengruifeng/vecslicer_pe.
Diffstat (limited to 'examples/src/main')
-rw-r--r-- | examples/src/main/python/ml/vector_slicer_example.py | 44 |
1 files changed, 44 insertions, 0 deletions
diff --git a/examples/src/main/python/ml/vector_slicer_example.py b/examples/src/main/python/ml/vector_slicer_example.py new file mode 100644 index 0000000000..31a753073c --- /dev/null +++ b/examples/src/main/python/ml/vector_slicer_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 VectorSlicer +from pyspark.mllib.linalg import Vectors +from pyspark.sql.types import Row +# $example off$ + +if __name__ == "__main__": + sc = SparkContext(appName="VectorSlicerExample") + sqlContext = SQLContext(sc) + + # $example on$ + df = sqlContext.createDataFrame([ + Row(userFeatures=Vectors.sparse(3, {0: -2.0, 1: 2.3}),), + Row(userFeatures=Vectors.dense([-2.0, 2.3, 0.0]),)]) + + slicer = VectorSlicer(inputCol="userFeatures", outputCol="features", indices=[1]) + + output = slicer.transform(df) + + output.select("userFeatures", "features").show() + # $example off$ + + sc.stop() |