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author | Yanbo Liang <ybliang8@gmail.com> | 2015-11-09 08:57:29 -0800 |
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committer | Xiangrui Meng <meng@databricks.com> | 2015-11-09 08:57:29 -0800 |
commit | d50a66cc04bfa1c483f04daffe465322316c745e (patch) | |
tree | bdb6bb63bd3ef2cea6a2f1da282163c457be4418 /examples/src/main/python/ml | |
parent | 8c0e1b50e960d3e8e51d0618c462eed2bb4936f0 (diff) | |
download | spark-d50a66cc04bfa1c483f04daffe465322316c745e.tar.gz spark-d50a66cc04bfa1c483f04daffe465322316c745e.tar.bz2 spark-d50a66cc04bfa1c483f04daffe465322316c745e.zip |
[SPARK-10689][ML][DOC] User guide and example code for AFTSurvivalRegression
Add user guide and example code for ```AFTSurvivalRegression```.
Author: Yanbo Liang <ybliang8@gmail.com>
Closes #9491 from yanboliang/spark-10689.
Diffstat (limited to 'examples/src/main/python/ml')
-rw-r--r-- | examples/src/main/python/ml/aft_survival_regression.py | 51 |
1 files changed, 51 insertions, 0 deletions
diff --git a/examples/src/main/python/ml/aft_survival_regression.py b/examples/src/main/python/ml/aft_survival_regression.py new file mode 100644 index 0000000000..0ee01fd825 --- /dev/null +++ b/examples/src/main/python/ml/aft_survival_regression.py @@ -0,0 +1,51 @@ +# +# 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 AFTSurvivalRegression +from pyspark.mllib.linalg import Vectors +# $example off$ + +if __name__ == "__main__": + sc = SparkContext(appName="AFTSurvivalRegressionExample") + sqlContext = SQLContext(sc) + + # $example on$ + training = sqlContext.createDataFrame([ + (1.218, 1.0, Vectors.dense(1.560, -0.605)), + (2.949, 0.0, Vectors.dense(0.346, 2.158)), + (3.627, 0.0, Vectors.dense(1.380, 0.231)), + (0.273, 1.0, Vectors.dense(0.520, 1.151)), + (4.199, 0.0, Vectors.dense(0.795, -0.226))], ["label", "censor", "features"]) + quantileProbabilities = [0.3, 0.6] + aft = AFTSurvivalRegression(quantileProbabilities=quantileProbabilities, + quantilesCol="quantiles") + + model = aft.fit(training) + + # Print the coefficients, intercept and scale parameter for AFT survival regression + print("Coefficients: " + str(model.coefficients)) + print("Intercept: " + str(model.intercept)) + print("Scale: " + str(model.scale)) + model.transform(training).show(truncate=False) + # $example off$ + + sc.stop() |