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author | Yu ISHIKAWA <yuu.ishikawa@gmail.com> | 2015-11-04 15:28:19 -0800 |
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committer | Xiangrui Meng <meng@databricks.com> | 2015-11-04 15:28:19 -0800 |
commit | 411ff6afb485c9d8cfc667c9346f836f2529ea9f (patch) | |
tree | dd950d6387ddb6dc24980d4536e4db08d06d4456 /mllib | |
parent | 1b6a5d4af9691c3f7f3ebee3146dc13d12a0e047 (diff) | |
download | spark-411ff6afb485c9d8cfc667c9346f836f2529ea9f.tar.gz spark-411ff6afb485c9d8cfc667c9346f836f2529ea9f.tar.bz2 spark-411ff6afb485c9d8cfc667c9346f836f2529ea9f.zip |
[SPARK-10028][MLLIB][PYTHON] Add Python API for PrefixSpan
Author: Yu ISHIKAWA <yuu.ishikawa@gmail.com>
Closes #9469 from yu-iskw/SPARK-10028.
Diffstat (limited to 'mllib')
-rw-r--r-- | mllib/src/main/scala/org/apache/spark/mllib/api/python/PrefixSpanModelWrapper.scala | 32 | ||||
-rw-r--r-- | mllib/src/main/scala/org/apache/spark/mllib/api/python/PythonMLLibAPI.scala | 23 |
2 files changed, 54 insertions, 1 deletions
diff --git a/mllib/src/main/scala/org/apache/spark/mllib/api/python/PrefixSpanModelWrapper.scala b/mllib/src/main/scala/org/apache/spark/mllib/api/python/PrefixSpanModelWrapper.scala new file mode 100644 index 0000000000..0027602a04 --- /dev/null +++ b/mllib/src/main/scala/org/apache/spark/mllib/api/python/PrefixSpanModelWrapper.scala @@ -0,0 +1,32 @@ +/* + * 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.mllib.api.python + +import org.apache.spark.mllib.fpm.PrefixSpanModel +import org.apache.spark.rdd.RDD + +/** + * A Wrapper of PrefixSpanModel to provide helper method for Python + */ +private[python] class PrefixSpanModelWrapper(model: PrefixSpanModel[Any]) + extends PrefixSpanModel(model.freqSequences) { + + def getFreqSequences: RDD[Array[Any]] = { + SerDe.fromTuple2RDD(model.freqSequences.map(x => (x.javaSequence, x.freq))) + } +} diff --git a/mllib/src/main/scala/org/apache/spark/mllib/api/python/PythonMLLibAPI.scala b/mllib/src/main/scala/org/apache/spark/mllib/api/python/PythonMLLibAPI.scala index 21e55938fa..40c41806cd 100644 --- a/mllib/src/main/scala/org/apache/spark/mllib/api/python/PythonMLLibAPI.scala +++ b/mllib/src/main/scala/org/apache/spark/mllib/api/python/PythonMLLibAPI.scala @@ -35,7 +35,7 @@ import org.apache.spark.mllib.classification._ import org.apache.spark.mllib.clustering._ import org.apache.spark.mllib.evaluation.RankingMetrics import org.apache.spark.mllib.feature._ -import org.apache.spark.mllib.fpm.{FPGrowth, FPGrowthModel} +import org.apache.spark.mllib.fpm.{FPGrowth, FPGrowthModel, PrefixSpan} import org.apache.spark.mllib.linalg._ import org.apache.spark.mllib.linalg.distributed._ import org.apache.spark.mllib.optimization._ @@ -558,6 +558,27 @@ private[python] class PythonMLLibAPI extends Serializable { } /** + * Java stub for Python mllib PrefixSpan.train(). This stub returns a handle + * to the Java object instead of the content of the Java object. Extra care + * needs to be taken in the Python code to ensure it gets freed on exit; see + * the Py4J documentation. + */ + def trainPrefixSpanModel( + data: JavaRDD[java.util.ArrayList[java.util.ArrayList[Any]]], + minSupport: Double, + maxPatternLength: Int, + localProjDBSize: Int ): PrefixSpanModelWrapper = { + val prefixSpan = new PrefixSpan() + .setMinSupport(minSupport) + .setMaxPatternLength(maxPatternLength) + .setMaxLocalProjDBSize(localProjDBSize) + + val trainData = data.rdd.map(_.asScala.toArray.map(_.asScala.toArray)) + val model = prefixSpan.run(trainData) + new PrefixSpanModelWrapper(model) + } + + /** * Java stub for Normalizer.transform() */ def normalizeVector(p: Double, vector: Vector): Vector = { |