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author | Yuhao Yang <hhbyyh@gmail.com> | 2016-04-13 13:58:35 -0700 |
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committer | Joseph K. Bradley <joseph@databricks.com> | 2016-04-13 13:58:35 -0700 |
commit | 781df499836e4216939e0febdcd5f89d30645759 (patch) | |
tree | f27ffcec85b7e7661eeefd6b02b2e8aa8df01cf5 /examples/src/main/python | |
parent | fcdd69260ec75c180f4d727ff2625ca9bf0bdad7 (diff) | |
download | spark-781df499836e4216939e0febdcd5f89d30645759.tar.gz spark-781df499836e4216939e0febdcd5f89d30645759.tar.bz2 spark-781df499836e4216939e0febdcd5f89d30645759.zip |
[SPARK-13089][ML] [Doc] spark.ml Naive Bayes user guide and examples
jira: https://issues.apache.org/jira/browse/SPARK-13089
Add section in ml-classification.md for NaiveBayes DataFrame-based API, plus example code (using include_example to clip code from examples/ folder files).
Author: Yuhao Yang <hhbyyh@gmail.com>
Closes #11015 from hhbyyh/naiveBayesDoc.
Diffstat (limited to 'examples/src/main/python')
-rw-r--r-- | examples/src/main/python/ml/naive_bayes_example.py | 53 |
1 files changed, 53 insertions, 0 deletions
diff --git a/examples/src/main/python/ml/naive_bayes_example.py b/examples/src/main/python/ml/naive_bayes_example.py new file mode 100644 index 0000000000..db8fbea9bf --- /dev/null +++ b/examples/src/main/python/ml/naive_bayes_example.py @@ -0,0 +1,53 @@ +# +# 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 NaiveBayes +from pyspark.ml.evaluation import MulticlassClassificationEvaluator +# $example off$ + +if __name__ == "__main__": + + sc = SparkContext(appName="naive_bayes_example") + sqlContext = SQLContext(sc) + + # $example on$ + # Load training data + data = sqlContext.read.format("libsvm") \ + .load("data/mllib/sample_libsvm_data.txt") + # Split the data into train and test + splits = data.randomSplit([0.6, 0.4], 1234) + train = splits[0] + test = splits[1] + + # create the trainer and set its parameters + nb = NaiveBayes(smoothing=1.0, modelType="multinomial") + + # train the model + model = nb.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() |