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author | Yanbo Liang <ybliang8@gmail.com> | 2015-12-07 23:50:57 -0800 |
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committer | Xiangrui Meng <meng@databricks.com> | 2015-12-07 23:50:57 -0800 |
commit | 4a39b5a1bee28cec792d509654f6236390cafdcb (patch) | |
tree | 1637657b13ee5294d74abf8f3f2f4c3f5bf9ba86 /examples/src/main/python/ml/sql_transformer.py | |
parent | 7d05a624510f7299b3dd07f87c203db1ff7caa3e (diff) | |
download | spark-4a39b5a1bee28cec792d509654f6236390cafdcb.tar.gz spark-4a39b5a1bee28cec792d509654f6236390cafdcb.tar.bz2 spark-4a39b5a1bee28cec792d509654f6236390cafdcb.zip |
[SPARK-11958][SPARK-11957][ML][DOC] SQLTransformer user guide and example code
Add ```SQLTransformer``` user guide, example code and make Scala API doc more clear.
Author: Yanbo Liang <ybliang8@gmail.com>
Closes #10006 from yanboliang/spark-11958.
Diffstat (limited to 'examples/src/main/python/ml/sql_transformer.py')
-rw-r--r-- | examples/src/main/python/ml/sql_transformer.py | 40 |
1 files changed, 40 insertions, 0 deletions
diff --git a/examples/src/main/python/ml/sql_transformer.py b/examples/src/main/python/ml/sql_transformer.py new file mode 100644 index 0000000000..9575d728d8 --- /dev/null +++ b/examples/src/main/python/ml/sql_transformer.py @@ -0,0 +1,40 @@ +# +# 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 +# $example on$ +from pyspark.ml.feature import SQLTransformer +# $example off$ +from pyspark.sql import SQLContext + +if __name__ == "__main__": + sc = SparkContext(appName="SQLTransformerExample") + sqlContext = SQLContext(sc) + + # $example on$ + df = sqlContext.createDataFrame([ + (0, 1.0, 3.0), + (2, 2.0, 5.0) + ], ["id", "v1", "v2"]) + sqlTrans = SQLTransformer( + statement="SELECT *, (v1 + v2) AS v3, (v1 * v2) AS v4 FROM __THIS__") + sqlTrans.transform(df).show() + # $example off$ + + sc.stop() |