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author | Xusen Yin <yinxusen@gmail.com> | 2015-12-01 15:21:53 -0800 |
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committer | Joseph K. Bradley <joseph@databricks.com> | 2015-12-01 15:21:53 -0800 |
commit | e76431f886ae8061545b3216e8e2fb38c4db1f43 (patch) | |
tree | 80c46e668d82144dd0b25eeaff25ca124d514ca7 /examples/src/main | |
parent | 328b757d5d4486ea3c2e246780792d7a57ee85e5 (diff) | |
download | spark-e76431f886ae8061545b3216e8e2fb38c4db1f43.tar.gz spark-e76431f886ae8061545b3216e8e2fb38c4db1f43.tar.bz2 spark-e76431f886ae8061545b3216e8e2fb38c4db1f43.zip |
[SPARK-11961][DOC] Add docs of ChiSqSelector
https://issues.apache.org/jira/browse/SPARK-11961
Author: Xusen Yin <yinxusen@gmail.com>
Closes #9965 from yinxusen/SPARK-11961.
Diffstat (limited to 'examples/src/main')
-rw-r--r-- | examples/src/main/java/org/apache/spark/examples/ml/JavaChiSqSelectorExample.java | 71 | ||||
-rw-r--r-- | examples/src/main/scala/org/apache/spark/examples/ml/ChiSqSelectorExample.scala | 57 |
2 files changed, 128 insertions, 0 deletions
diff --git a/examples/src/main/java/org/apache/spark/examples/ml/JavaChiSqSelectorExample.java b/examples/src/main/java/org/apache/spark/examples/ml/JavaChiSqSelectorExample.java new file mode 100644 index 0000000000..ede05d6e20 --- /dev/null +++ b/examples/src/main/java/org/apache/spark/examples/ml/JavaChiSqSelectorExample.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.ml; + +import org.apache.spark.SparkConf; +import org.apache.spark.api.java.JavaRDD; +import org.apache.spark.api.java.JavaSparkContext; +import org.apache.spark.sql.SQLContext; + +// $example on$ +import java.util.Arrays; + +import org.apache.spark.ml.feature.ChiSqSelector; +import org.apache.spark.mllib.linalg.VectorUDT; +import org.apache.spark.mllib.linalg.Vectors; +import org.apache.spark.sql.DataFrame; +import org.apache.spark.sql.Row; +import org.apache.spark.sql.RowFactory; +import org.apache.spark.sql.types.DataTypes; +import org.apache.spark.sql.types.Metadata; +import org.apache.spark.sql.types.StructField; +import org.apache.spark.sql.types.StructType; +// $example off$ + +public class JavaChiSqSelectorExample { + public static void main(String[] args) { + SparkConf conf = new SparkConf().setAppName("JavaChiSqSelectorExample"); + JavaSparkContext jsc = new JavaSparkContext(conf); + SQLContext sqlContext = new SQLContext(jsc); + + // $example on$ + JavaRDD<Row> jrdd = jsc.parallelize(Arrays.asList( + RowFactory.create(7, Vectors.dense(0.0, 0.0, 18.0, 1.0), 1.0), + RowFactory.create(8, Vectors.dense(0.0, 1.0, 12.0, 0.0), 0.0), + RowFactory.create(9, Vectors.dense(1.0, 0.0, 15.0, 0.1), 0.0) + )); + StructType schema = new StructType(new StructField[]{ + new StructField("id", DataTypes.IntegerType, false, Metadata.empty()), + new StructField("features", new VectorUDT(), false, Metadata.empty()), + new StructField("clicked", DataTypes.DoubleType, false, Metadata.empty()) + }); + + DataFrame df = sqlContext.createDataFrame(jrdd, schema); + + ChiSqSelector selector = new ChiSqSelector() + .setNumTopFeatures(1) + .setFeaturesCol("features") + .setLabelCol("clicked") + .setOutputCol("selectedFeatures"); + + DataFrame result = selector.fit(df).transform(df); + result.show(); + // $example off$ + jsc.stop(); + } +} diff --git a/examples/src/main/scala/org/apache/spark/examples/ml/ChiSqSelectorExample.scala b/examples/src/main/scala/org/apache/spark/examples/ml/ChiSqSelectorExample.scala new file mode 100644 index 0000000000..a8d2bc4907 --- /dev/null +++ b/examples/src/main/scala/org/apache/spark/examples/ml/ChiSqSelectorExample.scala @@ -0,0 +1,57 @@ +/* + * 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.ml + +// $example on$ +import org.apache.spark.ml.feature.ChiSqSelector +import org.apache.spark.mllib.linalg.Vectors +// $example off$ +import org.apache.spark.sql.SQLContext +import org.apache.spark.{SparkConf, SparkContext} + +object ChiSqSelectorExample { + def main(args: Array[String]) { + val conf = new SparkConf().setAppName("ChiSqSelectorExample") + val sc = new SparkContext(conf) + + val sqlContext = SQLContext.getOrCreate(sc) + import sqlContext.implicits._ + + // $example on$ + val data = Seq( + (7, Vectors.dense(0.0, 0.0, 18.0, 1.0), 1.0), + (8, Vectors.dense(0.0, 1.0, 12.0, 0.0), 0.0), + (9, Vectors.dense(1.0, 0.0, 15.0, 0.1), 0.0) + ) + + val df = sc.parallelize(data).toDF("id", "features", "clicked") + + val selector = new ChiSqSelector() + .setNumTopFeatures(1) + .setFeaturesCol("features") + .setLabelCol("clicked") + .setOutputCol("selectedFeatures") + + val result = selector.fit(df).transform(df) + result.show() + // $example off$ + sc.stop() + } +} +// scalastyle:on println |