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author | Xusen Yin <yinxusen@gmail.com> | 2015-11-17 13:59:59 -0800 |
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committer | Xiangrui Meng <meng@databricks.com> | 2015-11-17 13:59:59 -0800 |
commit | 328eb49e6222271337e09188853b29c8f32fb157 (patch) | |
tree | ddebcfb1f3430cfd084e901af71b71ba7259d1d9 /examples/src/main/python/ml/linear_regression_with_elastic_net.py | |
parent | fa603e08de641df16d066302be5d5f92a60a923e (diff) | |
download | spark-328eb49e6222271337e09188853b29c8f32fb157.tar.gz spark-328eb49e6222271337e09188853b29c8f32fb157.tar.bz2 spark-328eb49e6222271337e09188853b29c8f32fb157.zip |
[SPARK-11729] Replace example code in ml-linear-methods.md using include_example
JIRA link: https://issues.apache.org/jira/browse/SPARK-11729
Author: Xusen Yin <yinxusen@gmail.com>
Closes #9713 from yinxusen/SPARK-11729.
Diffstat (limited to 'examples/src/main/python/ml/linear_regression_with_elastic_net.py')
-rw-r--r-- | examples/src/main/python/ml/linear_regression_with_elastic_net.py | 44 |
1 files changed, 44 insertions, 0 deletions
diff --git a/examples/src/main/python/ml/linear_regression_with_elastic_net.py b/examples/src/main/python/ml/linear_regression_with_elastic_net.py new file mode 100644 index 0000000000..b027827633 --- /dev/null +++ b/examples/src/main/python/ml/linear_regression_with_elastic_net.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.regression import LinearRegression +# $example off$ + +if __name__ == "__main__": + sc = SparkContext(appName="LinearRegressionWithElasticNet") + sqlContext = SQLContext(sc) + + # $example on$ + # Load training data + training = sqlContext.read.format("libsvm").load("data/mllib/sample_libsvm_data.txt") + + lr = LinearRegression(maxIter=10, regParam=0.3, elasticNetParam=0.8) + + # Fit the model + lrModel = lr.fit(training) + + # Print the coefficients and intercept for linear regression + print("Coefficients: " + str(lrModel.coefficients)) + print("Intercept: " + str(lrModel.intercept)) + # $example off$ + + sc.stop() |