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author | Yanbo Liang <ybliang8@gmail.com> | 2015-11-12 21:29:43 -0800 |
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committer | Xiangrui Meng <meng@databricks.com> | 2015-11-12 21:29:43 -0800 |
commit | ea5ae2705afa4eaadd4192c37d74c97364378cf9 (patch) | |
tree | 7ebd53577fba8330c0a636b7de85f3a95f4ea7bb /examples/src/main/python | |
parent | 2035ed392e0a9c18ff9c176a7b0f0097ed1276df (diff) | |
download | spark-ea5ae2705afa4eaadd4192c37d74c97364378cf9.tar.gz spark-ea5ae2705afa4eaadd4192c37d74c97364378cf9.tar.bz2 spark-ea5ae2705afa4eaadd4192c37d74c97364378cf9.zip |
[SPARK-11629][ML][PYSPARK][DOC] Python example code for Multilayer Perceptron Classification
Add Python example code for Multilayer Perceptron Classification, and make example code in user guide document testable. mengxr
Author: Yanbo Liang <ybliang8@gmail.com>
Closes #9594 from yanboliang/spark-11629.
Diffstat (limited to 'examples/src/main/python')
-rw-r--r-- | examples/src/main/python/ml/multilayer_perceptron_classification.py | 56 |
1 files changed, 56 insertions, 0 deletions
diff --git a/examples/src/main/python/ml/multilayer_perceptron_classification.py b/examples/src/main/python/ml/multilayer_perceptron_classification.py new file mode 100644 index 0000000000..d8ef9f39e3 --- /dev/null +++ b/examples/src/main/python/ml/multilayer_perceptron_classification.py @@ -0,0 +1,56 @@ +# +# 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.classification import MultilayerPerceptronClassifier +from pyspark.ml.evaluation import MulticlassClassificationEvaluator +from pyspark.mllib.util import MLUtils +# $example off$ + +if __name__ == "__main__": + + sc = SparkContext(appName="multilayer_perceptron_classification_example") + sqlContext = SQLContext(sc) + + # $example on$ + # Load training data + data = MLUtils.loadLibSVMFile(sc, "data/mllib/sample_multiclass_classification_data.txt")\ + .toDF() + # Split the data into train and test + splits = data.randomSplit([0.6, 0.4], 1234) + train = splits[0] + test = splits[1] + # specify layers for the neural network: + # input layer of size 4 (features), two intermediate of size 5 and 4 + # and output of size 3 (classes) + layers = [4, 5, 4, 3] + # create the trainer and set its parameters + trainer = MultilayerPerceptronClassifier(maxIter=100, layers=layers, blockSize=128, seed=1234) + # train the model + model = trainer.fit(train) + # compute precision on the test set + result = model.transform(test) + predictionAndLabels = result.select("prediction", "label") + evaluator = MulticlassClassificationEvaluator(metricName="precision") + print("Precision:" + str(evaluator.evaluate(predictionAndLabels))) + # $example off$ + + sc.stop() |