Repository: spark Updated Branches: refs/heads/master e328b69c3 -> 820064e61
[SPARK-11380][DOCS] Replace example code in mllib-frequent-pattern-mining.md using include_example Author: Pravin Gadakh <pravingadakh...@gmail.com> Author: Pravin Gadakh <prgad...@in.ibm.com> Closes #9340 from pravingadakh/SPARK-11380. Project: http://git-wip-us.apache.org/repos/asf/spark/repo Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/820064e6 Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/820064e6 Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/820064e6 Branch: refs/heads/master Commit: 820064e613609bbf7edd726d982da1de60bf417a Parents: e328b69 Author: Pravin Gadakh <pravingadakh...@gmail.com> Authored: Wed Nov 4 08:32:08 2015 -0800 Committer: Xiangrui Meng <m...@databricks.com> Committed: Wed Nov 4 08:32:08 2015 -0800 ---------------------------------------------------------------------- docs/mllib-frequent-pattern-mining.md | 168 +------------------ .../mllib/JavaAssociationRulesExample.java | 56 +++++++ .../examples/mllib/JavaPrefixSpanExample.java | 55 ++++++ .../examples/mllib/JavaSimpleFPGrowth.java | 71 ++++++++ .../src/main/python/mllib/fpgrowth_example.py | 33 ++++ .../mllib/AssociationRulesExample.scala | 54 ++++++ .../examples/mllib/PrefixSpanExample.scala | 52 ++++++ .../spark/examples/mllib/SimpleFPGrowth.scala | 59 +++++++ 8 files changed, 387 insertions(+), 161 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/spark/blob/820064e6/docs/mllib-frequent-pattern-mining.md ---------------------------------------------------------------------- diff --git a/docs/mllib-frequent-pattern-mining.md b/docs/mllib-frequent-pattern-mining.md index f749eb4..fe42896 100644 --- a/docs/mllib-frequent-pattern-mining.md +++ b/docs/mllib-frequent-pattern-mining.md @@ -52,31 +52,7 @@ details) from `transactions`. Refer to the [`FPGrowth` Scala docs](api/scala/index.html#org.apache.spark.mllib.fpm.FPGrowth) for details on the API. -{% highlight scala %} -import org.apache.spark.rdd.RDD -import org.apache.spark.mllib.fpm.FPGrowth - -val data = sc.textFile("data/mllib/sample_fpgrowth.txt") - -val transactions: RDD[Array[String]] = data.map(s => s.trim.split(' ')) - -val fpg = new FPGrowth() - .setMinSupport(0.2) - .setNumPartitions(10) -val model = fpg.run(transactions) - -model.freqItemsets.collect().foreach { itemset => - println(itemset.items.mkString("[", ",", "]") + ", " + itemset.freq) -} - -val minConfidence = 0.8 -model.generateAssociationRules(minConfidence).collect().foreach { rule => - println( - rule.antecedent.mkString("[", ",", "]") - + " => " + rule.consequent .mkString("[", ",", "]") - + ", " + rule.confidence) -} -{% endhighlight %} +{% include_example scala/org/apache/spark/examples/mllib/SimpleFPGrowth.scala %} </div> @@ -95,46 +71,7 @@ details) from `transactions`. Refer to the [`FPGrowth` Java docs](api/java/org/apache/spark/mllib/fpm/FPGrowth.html) for details on the API. -{% highlight java %} -import java.util.Arrays; -import java.util.List; - -import org.apache.spark.api.java.JavaRDD; -import org.apache.spark.api.java.JavaSparkContext; -import org.apache.spark.mllib.fpm.AssociationRules; -import org.apache.spark.mllib.fpm.FPGrowth; -import org.apache.spark.mllib.fpm.FPGrowthModel; - -SparkConf conf = new SparkConf().setAppName("FP-growth Example"); -JavaSparkContext sc = new JavaSparkContext(conf); - -JavaRDD<String> data = sc.textFile("data/mllib/sample_fpgrowth.txt"); - -JavaRDD<List<String>> transactions = data.map( - new Function<String, List<String>>() { - public List<String> call(String line) { - String[] parts = line.split(" "); - return Arrays.asList(parts); - } - } -); - -FPGrowth fpg = new FPGrowth() - .setMinSupport(0.2) - .setNumPartitions(10); -FPGrowthModel<String> model = fpg.run(transactions); - -for (FPGrowth.FreqItemset<String> itemset: model.freqItemsets().toJavaRDD().collect()) { - System.out.println("[" + itemset.javaItems() + "], " + itemset.freq()); -} - -double minConfidence = 0.8; -for (AssociationRules.Rule<String> rule - : model.generateAssociationRules(minConfidence).toJavaRDD().collect()) { - System.out.println( - rule.javaAntecedent() + " => " + rule.javaConsequent() + ", " + rule.confidence()); -} -{% endhighlight %} +{% include_example java/org/apache/spark/examples/mllib/JavaSimpleFPGrowth.java %} </div> @@ -149,19 +86,7 @@ that stores the frequent itemsets with their frequencies. Refer to the [`FPGrowth` Python docs](api/python/pyspark.mllib.html#pyspark.mllib.fpm.FPGrowth) for more details on the API. -{% highlight python %} -from pyspark.mllib.fpm import FPGrowth - -data = sc.textFile("data/mllib/sample_fpgrowth.txt") - -transactions = data.map(lambda line: line.strip().split(' ')) - -model = FPGrowth.train(transactions, minSupport=0.2, numPartitions=10) - -result = model.freqItemsets().collect() -for fi in result: - print(fi) -{% endhighlight %} +{% include_example python/mllib/fpgrowth_example.py %} </div> @@ -177,27 +102,7 @@ that have a single item as the consequent. Refer to the [`AssociationRules` Scala docs](api/java/org/apache/spark/mllib/fpm/AssociationRules.html) for details on the API. -{% highlight scala %} -import org.apache.spark.rdd.RDD -import org.apache.spark.mllib.fpm.AssociationRules -import org.apache.spark.mllib.fpm.FPGrowth.FreqItemset - -val freqItemsets = sc.parallelize(Seq( - new FreqItemset(Array("a"), 15L), - new FreqItemset(Array("b"), 35L), - new FreqItemset(Array("a", "b"), 12L) -)); - -val ar = new AssociationRules() - .setMinConfidence(0.8) -val results = ar.run(freqItemsets) - -results.collect().foreach { rule => - println("[" + rule.antecedent.mkString(",") - + "=>" - + rule.consequent.mkString(",") + "]," + rule.confidence) -} -{% endhighlight %} +{% include_example scala/org/apache/spark/examples/mllib/AssociationRulesExample.scala %} </div> @@ -208,29 +113,7 @@ that have a single item as the consequent. Refer to the [`AssociationRules` Java docs](api/java/org/apache/spark/mllib/fpm/AssociationRules.html) for details on the API. -{% highlight java %} -import java.util.Arrays; - -import org.apache.spark.api.java.JavaRDD; -import org.apache.spark.api.java.JavaSparkContext; -import org.apache.spark.mllib.fpm.AssociationRules; -import org.apache.spark.mllib.fpm.FPGrowth.FreqItemset; - -JavaRDD<FPGrowth.FreqItemset<String>> freqItemsets = sc.parallelize(Arrays.asList( - new FreqItemset<String>(new String[] {"a"}, 15L), - new FreqItemset<String>(new String[] {"b"}, 35L), - new FreqItemset<String>(new String[] {"a", "b"}, 12L) -)); - -AssociationRules arules = new AssociationRules() - .setMinConfidence(0.8); -JavaRDD<AssociationRules.Rule<String>> results = arules.run(freqItemsets); - -for (AssociationRules.Rule<String> rule: results.collect()) { - System.out.println( - rule.javaAntecedent() + " => " + rule.javaConsequent() + ", " + rule.confidence()); -} -{% endhighlight %} +{% include_example java/org/apache/spark/examples/mllib/JavaAssociationRulesExample.java %} </div> </div> @@ -278,24 +161,7 @@ that stores the frequent sequences with their frequencies. Refer to the [`PrefixSpan` Scala docs](api/scala/index.html#org.apache.spark.mllib.fpm.PrefixSpan) and [`PrefixSpanModel` Scala docs](api/scala/index.html#org.apache.spark.mllib.fpm.PrefixSpanModel) for details on the API. -{% highlight scala %} -import org.apache.spark.mllib.fpm.PrefixSpan - -val sequences = sc.parallelize(Seq( - Array(Array(1, 2), Array(3)), - Array(Array(1), Array(3, 2), Array(1, 2)), - Array(Array(1, 2), Array(5)), - Array(Array(6)) - ), 2).cache() -val prefixSpan = new PrefixSpan() - .setMinSupport(0.5) - .setMaxPatternLength(5) -val model = prefixSpan.run(sequences) -model.freqSequences.collect().foreach { freqSequence => -println( - freqSequence.sequence.map(_.mkString("[", ", ", "]")).mkString("[", ", ", "]") + ", " + freqSequence.freq) -} -{% endhighlight %} +{% include_example scala/org/apache/spark/examples/mllib/PrefixSpanExample.scala %} </div> @@ -309,27 +175,7 @@ that stores the frequent sequences with their frequencies. Refer to the [`PrefixSpan` Java docs](api/java/org/apache/spark/mllib/fpm/PrefixSpan.html) and [`PrefixSpanModel` Java docs](api/java/org/apache/spark/mllib/fpm/PrefixSpanModel.html) for details on the API. -{% highlight java %} -import java.util.Arrays; -import java.util.List; - -import org.apache.spark.mllib.fpm.PrefixSpan; -import org.apache.spark.mllib.fpm.PrefixSpanModel; - -JavaRDD<List<List<Integer>>> sequences = sc.parallelize(Arrays.asList( - Arrays.asList(Arrays.asList(1, 2), Arrays.asList(3)), - Arrays.asList(Arrays.asList(1), Arrays.asList(3, 2), Arrays.asList(1, 2)), - Arrays.asList(Arrays.asList(1, 2), Arrays.asList(5)), - Arrays.asList(Arrays.asList(6)) -), 2); -PrefixSpan prefixSpan = new PrefixSpan() - .setMinSupport(0.5) - .setMaxPatternLength(5); -PrefixSpanModel<Integer> model = prefixSpan.run(sequences); -for (PrefixSpan.FreqSequence<Integer> freqSeq: model.freqSequences().toJavaRDD().collect()) { - System.out.println(freqSeq.javaSequence() + ", " + freqSeq.freq()); -} -{% endhighlight %} +{% include_example java/org/apache/spark/examples/mllib/JavaPrefixSpanExample.java %} </div> </div> http://git-wip-us.apache.org/repos/asf/spark/blob/820064e6/examples/src/main/java/org/apache/spark/examples/mllib/JavaAssociationRulesExample.java ---------------------------------------------------------------------- diff --git a/examples/src/main/java/org/apache/spark/examples/mllib/JavaAssociationRulesExample.java b/examples/src/main/java/org/apache/spark/examples/mllib/JavaAssociationRulesExample.java new file mode 100644 index 0000000..4d0f989 --- /dev/null +++ b/examples/src/main/java/org/apache/spark/examples/mllib/JavaAssociationRulesExample.java @@ -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. + */ + +package org.apache.spark.examples.mllib; + +// $example on$ +import java.util.Arrays; + +import org.apache.spark.api.java.JavaRDD; +import org.apache.spark.api.java.JavaSparkContext; +import org.apache.spark.mllib.fpm.AssociationRules; +import org.apache.spark.mllib.fpm.FPGrowth; +import org.apache.spark.mllib.fpm.FPGrowth.FreqItemset; +// $example off$ + +import org.apache.spark.SparkConf; + +public class JavaAssociationRulesExample { + + public static void main(String[] args) { + + SparkConf sparkConf = new SparkConf().setAppName("JavaAssociationRulesExample"); + JavaSparkContext sc = new JavaSparkContext(sparkConf); + + // $example on$ + JavaRDD<FPGrowth.FreqItemset<String>> freqItemsets = sc.parallelize(Arrays.asList( + new FreqItemset<String>(new String[] {"a"}, 15L), + new FreqItemset<String>(new String[] {"b"}, 35L), + new FreqItemset<String>(new String[] {"a", "b"}, 12L) + )); + + AssociationRules arules = new AssociationRules() + .setMinConfidence(0.8); + JavaRDD<AssociationRules.Rule<String>> results = arules.run(freqItemsets); + + for (AssociationRules.Rule<String> rule : results.collect()) { + System.out.println( + rule.javaAntecedent() + " => " + rule.javaConsequent() + ", " + rule.confidence()); + } + // $example off$ + } +} http://git-wip-us.apache.org/repos/asf/spark/blob/820064e6/examples/src/main/java/org/apache/spark/examples/mllib/JavaPrefixSpanExample.java ---------------------------------------------------------------------- diff --git a/examples/src/main/java/org/apache/spark/examples/mllib/JavaPrefixSpanExample.java b/examples/src/main/java/org/apache/spark/examples/mllib/JavaPrefixSpanExample.java new file mode 100644 index 0000000..68ec7c1 --- /dev/null +++ b/examples/src/main/java/org/apache/spark/examples/mllib/JavaPrefixSpanExample.java @@ -0,0 +1,55 @@ +/* + * 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. + */ + +package org.apache.spark.examples.mllib; + +// $example on$ +import java.util.Arrays; +import java.util.List; +// $example off$ +import org.apache.spark.api.java.JavaRDD; +import org.apache.spark.api.java.JavaSparkContext; +// $example on$ +import org.apache.spark.mllib.fpm.PrefixSpan; +import org.apache.spark.mllib.fpm.PrefixSpanModel; +// $example off$ +import org.apache.spark.SparkConf; + +public class JavaPrefixSpanExample { + + public static void main(String[] args) { + + SparkConf sparkConf = new SparkConf().setAppName("JavaPrefixSpanExample"); + JavaSparkContext sc = new JavaSparkContext(sparkConf); + + // $example on$ + JavaRDD<List<List<Integer>>> sequences = sc.parallelize(Arrays.asList( + Arrays.asList(Arrays.asList(1, 2), Arrays.asList(3)), + Arrays.asList(Arrays.asList(1), Arrays.asList(3, 2), Arrays.asList(1, 2)), + Arrays.asList(Arrays.asList(1, 2), Arrays.asList(5)), + Arrays.asList(Arrays.asList(6)) + ), 2); + PrefixSpan prefixSpan = new PrefixSpan() + .setMinSupport(0.5) + .setMaxPatternLength(5); + PrefixSpanModel<Integer> model = prefixSpan.run(sequences); + for (PrefixSpan.FreqSequence<Integer> freqSeq: model.freqSequences().toJavaRDD().collect()) { + System.out.println(freqSeq.javaSequence() + ", " + freqSeq.freq()); + } + // $example off$ + } +} http://git-wip-us.apache.org/repos/asf/spark/blob/820064e6/examples/src/main/java/org/apache/spark/examples/mllib/JavaSimpleFPGrowth.java ---------------------------------------------------------------------- diff --git a/examples/src/main/java/org/apache/spark/examples/mllib/JavaSimpleFPGrowth.java b/examples/src/main/java/org/apache/spark/examples/mllib/JavaSimpleFPGrowth.java new file mode 100644 index 0000000..72edaca --- /dev/null +++ b/examples/src/main/java/org/apache/spark/examples/mllib/JavaSimpleFPGrowth.java @@ -0,0 +1,71 @@ +/* + * 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. + */ + +package org.apache.spark.examples.mllib; + +// $example on$ +import java.util.Arrays; +import java.util.List; + +import org.apache.spark.api.java.JavaRDD; +import org.apache.spark.api.java.JavaSparkContext; +// $example off$ +import org.apache.spark.api.java.function.Function; +// $example on$ +import org.apache.spark.mllib.fpm.AssociationRules; +import org.apache.spark.mllib.fpm.FPGrowth; +import org.apache.spark.mllib.fpm.FPGrowthModel; +// $example off$ + +import org.apache.spark.SparkConf; + +public class JavaSimpleFPGrowth { + + public static void main(String[] args) { + SparkConf conf = new SparkConf().setAppName("FP-growth Example"); + JavaSparkContext sc = new JavaSparkContext(conf); + + // $example on$ + JavaRDD<String> data = sc.textFile("data/mllib/sample_fpgrowth.txt"); + + JavaRDD<List<String>> transactions = data.map( + new Function<String, List<String>>() { + public List<String> call(String line) { + String[] parts = line.split(" "); + return Arrays.asList(parts); + } + } + ); + + FPGrowth fpg = new FPGrowth() + .setMinSupport(0.2) + .setNumPartitions(10); + FPGrowthModel<String> model = fpg.run(transactions); + + for (FPGrowth.FreqItemset<String> itemset: model.freqItemsets().toJavaRDD().collect()) { + System.out.println("[" + itemset.javaItems() + "], " + itemset.freq()); + } + + double minConfidence = 0.8; + for (AssociationRules.Rule<String> rule + : model.generateAssociationRules(minConfidence).toJavaRDD().collect()) { + System.out.println( + rule.javaAntecedent() + " => " + rule.javaConsequent() + ", " + rule.confidence()); + } + // $example off$ + } +} http://git-wip-us.apache.org/repos/asf/spark/blob/820064e6/examples/src/main/python/mllib/fpgrowth_example.py ---------------------------------------------------------------------- diff --git a/examples/src/main/python/mllib/fpgrowth_example.py b/examples/src/main/python/mllib/fpgrowth_example.py new file mode 100644 index 0000000..715f526 --- /dev/null +++ b/examples/src/main/python/mllib/fpgrowth_example.py @@ -0,0 +1,33 @@ +# +# 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. +# + +# $example on$ +from pyspark.mllib.fpm import FPGrowth +# $example off$ +from pyspark import SparkContext + +if __name__ == "__main__": + sc = SparkContext(appName="FPGrowth") + + # $example on$ + data = sc.textFile("data/mllib/sample_fpgrowth.txt") + transactions = data.map(lambda line: line.strip().split(' ')) + model = FPGrowth.train(transactions, minSupport=0.2, numPartitions=10) + result = model.freqItemsets().collect() + for fi in result: + print(fi) + # $example off$ http://git-wip-us.apache.org/repos/asf/spark/blob/820064e6/examples/src/main/scala/org/apache/spark/examples/mllib/AssociationRulesExample.scala ---------------------------------------------------------------------- diff --git a/examples/src/main/scala/org/apache/spark/examples/mllib/AssociationRulesExample.scala b/examples/src/main/scala/org/apache/spark/examples/mllib/AssociationRulesExample.scala new file mode 100644 index 0000000..ca22dda --- /dev/null +++ b/examples/src/main/scala/org/apache/spark/examples/mllib/AssociationRulesExample.scala @@ -0,0 +1,54 @@ +/* + * 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. + */ + +// scalastyle:off println +package org.apache.spark.examples.mllib + +// $example on$ +import org.apache.spark.mllib.fpm.AssociationRules +import org.apache.spark.mllib.fpm.FPGrowth.FreqItemset +// $example off$ + +import org.apache.spark.{SparkConf, SparkContext} + +object AssociationRulesExample { + + def main(args: Array[String]) { + val conf = new SparkConf().setAppName("AssociationRulesExample") + val sc = new SparkContext(conf) + + // $example on$ + val freqItemsets = sc.parallelize(Seq( + new FreqItemset(Array("a"), 15L), + new FreqItemset(Array("b"), 35L), + new FreqItemset(Array("a", "b"), 12L) + )) + + val ar = new AssociationRules() + .setMinConfidence(0.8) + val results = ar.run(freqItemsets) + + results.collect().foreach { rule => + println("[" + rule.antecedent.mkString(",") + + "=>" + + rule.consequent.mkString(",") + "]," + rule.confidence) + } + // $example off$ + } + +} +// scalastyle:on println http://git-wip-us.apache.org/repos/asf/spark/blob/820064e6/examples/src/main/scala/org/apache/spark/examples/mllib/PrefixSpanExample.scala ---------------------------------------------------------------------- diff --git a/examples/src/main/scala/org/apache/spark/examples/mllib/PrefixSpanExample.scala b/examples/src/main/scala/org/apache/spark/examples/mllib/PrefixSpanExample.scala new file mode 100644 index 0000000..d237232 --- /dev/null +++ b/examples/src/main/scala/org/apache/spark/examples/mllib/PrefixSpanExample.scala @@ -0,0 +1,52 @@ +/* + * 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. + */ + +// scalastyle:off println +package org.apache.spark.examples.mllib + +// $example on$ +import org.apache.spark.mllib.fpm.PrefixSpan +// $example off$ + +import org.apache.spark.{SparkConf, SparkContext} + +object PrefixSpanExample { + + def main(args: Array[String]) { + val conf = new SparkConf().setAppName("PrefixSpanExample") + val sc = new SparkContext(conf) + + // $example on$ + val sequences = sc.parallelize(Seq( + Array(Array(1, 2), Array(3)), + Array(Array(1), Array(3, 2), Array(1, 2)), + Array(Array(1, 2), Array(5)), + Array(Array(6)) + ), 2).cache() + val prefixSpan = new PrefixSpan() + .setMinSupport(0.5) + .setMaxPatternLength(5) + val model = prefixSpan.run(sequences) + model.freqSequences.collect().foreach { freqSequence => + println( + freqSequence.sequence.map(_.mkString("[", ", ", "]")).mkString("[", ", ", "]") + + ", " + freqSequence.freq) + } + // $example off$ + } +} +// scalastyle:off println http://git-wip-us.apache.org/repos/asf/spark/blob/820064e6/examples/src/main/scala/org/apache/spark/examples/mllib/SimpleFPGrowth.scala ---------------------------------------------------------------------- diff --git a/examples/src/main/scala/org/apache/spark/examples/mllib/SimpleFPGrowth.scala b/examples/src/main/scala/org/apache/spark/examples/mllib/SimpleFPGrowth.scala new file mode 100644 index 0000000..b4e06af --- /dev/null +++ b/examples/src/main/scala/org/apache/spark/examples/mllib/SimpleFPGrowth.scala @@ -0,0 +1,59 @@ +/* + * 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. + */ + +// scalastyle:off println +package org.apache.spark.examples.mllib + +// $example on$ +import org.apache.spark.mllib.fpm.FPGrowth +import org.apache.spark.rdd.RDD +// $example off$ + +import org.apache.spark.{SparkContext, SparkConf} + +object SimpleFPGrowth { + + def main(args: Array[String]) { + + val conf = new SparkConf().setAppName("SimpleFPGrowth") + val sc = new SparkContext(conf) + + // $example on$ + val data = sc.textFile("data/mllib/sample_fpgrowth.txt") + + val transactions: RDD[Array[String]] = data.map(s => s.trim.split(' ')) + + val fpg = new FPGrowth() + .setMinSupport(0.2) + .setNumPartitions(10) + val model = fpg.run(transactions) + + model.freqItemsets.collect().foreach { itemset => + println(itemset.items.mkString("[", ",", "]") + ", " + itemset.freq) + } + + val minConfidence = 0.8 + model.generateAssociationRules(minConfidence).collect().foreach { rule => + println( + rule.antecedent.mkString("[", ",", "]") + + " => " + rule.consequent .mkString("[", ",", "]") + + ", " + rule.confidence) + } + // $example off$ + } +} +// scalastyle:on println --------------------------------------------------------------------- To unsubscribe, e-mail: commits-unsubscr...@spark.apache.org For additional commands, e-mail: commits-h...@spark.apache.org
