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[SPARK-31708][ML][DOCS] Add docs and examples for ANOVASelector and F…
…ValueSelector ### What changes were proposed in this pull request? Add docs and examples for ANOVASelector and FValueSelector ### Why are the changes needed? Complete the implementation of ANOVASelector and FValueSelector ### Does this PR introduce _any_ user-facing change? Yes <img width="850" alt="Screen Shot 2020-05-13 at 5 17 44 PM" src="https://user-images.githubusercontent.com/13592258/81878703-b4f94480-953d-11ea-9166-da3c64852b90.png"> <img width="850" alt="Screen Shot 2020-05-13 at 5 05 15 PM" src="https://user-images.githubusercontent.com/13592258/81878600-6055c980-953d-11ea-8b24-09c31647139b.png"> <img width="850" alt="Screen Shot 2020-05-13 at 5 06 06 PM" src="https://user-images.githubusercontent.com/13592258/81878603-621f8d00-953d-11ea-9447-39913ccc067d.png"> <img width="850" alt="Screen Shot 2020-05-13 at 5 06 21 PM" src="https://user-images.githubusercontent.com/13592258/81878606-65b31400-953d-11ea-9d76-51859266d1a8.png"> <img width="850" alt="Screen Shot 2020-05-13 at 5 07 10 PM" src="https://user-images.githubusercontent.com/13592258/81878611-69df3180-953d-11ea-8618-23a2a6cfd730.png"> <img width="850" alt="Screen Shot 2020-05-13 at 5 07 33 PM" src="https://user-images.githubusercontent.com/13592258/81878620-6cda2200-953d-11ea-9c46-da763328364e.png"> <img width="850" alt="Screen Shot 2020-05-13 at 5 07 47 PM" src="https://user-images.githubusercontent.com/13592258/81878625-6f3c7c00-953d-11ea-9d11-2281b33a0bd8.png"> <img width="851" alt="Screen Shot 2020-05-13 at 5 19 35 PM" src="https://user-images.githubusercontent.com/13592258/81878882-13bebe00-953e-11ea-9776-288bac97d93f.png"> <img width="850" alt="Screen Shot 2020-05-13 at 5 08 42 PM" src="https://user-images.githubusercontent.com/13592258/81878637-76638a00-953d-11ea-94b0-dc9bc85ae2b7.png"> <img width="850" alt="Screen Shot 2020-05-13 at 5 09 01 PM" src="https://user-images.githubusercontent.com/13592258/81878640-79f71100-953d-11ea-9a66-b27f9482fbd3.png"> <img width="850" alt="Screen Shot 2020-05-13 at 5 09 50 PM" src="https://user-images.githubusercontent.com/13592258/81878644-7cf20180-953d-11ea-9142-9658c8e90986.png"> <img width="851" alt="Screen Shot 2020-05-13 at 5 10 06 PM" src="https://user-images.githubusercontent.com/13592258/81878653-81b6b580-953d-11ea-9dc2-8015095cf569.png"> <img width="850" alt="Screen Shot 2020-05-13 at 5 10 59 PM" src="https://user-images.githubusercontent.com/13592258/81878658-854a3c80-953d-11ea-8dc9-217aa749fd00.png"> <img width="850" alt="Screen Shot 2020-05-13 at 5 11 27 PM" src="https://user-images.githubusercontent.com/13592258/81878659-87ac9680-953d-11ea-8c6b-74ab76748e4a.png"> <img width="850" alt="Screen Shot 2020-05-13 at 5 14 54 PM" src="https://user-images.githubusercontent.com/13592258/81878664-8b401d80-953d-11ea-9ee1-05f6677e263c.png"> <img width="850" alt="Screen Shot 2020-05-13 at 5 15 17 PM" src="https://user-images.githubusercontent.com/13592258/81878669-8da27780-953d-11ea-8216-77eb8bb7e091.png"> ### How was this patch tested? Manually build and check Closes apache#28524 from huaxingao/examples. Authored-by: Huaxin Gao <[email protected]> Signed-off-by: Sean Owen <[email protected]>
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examples/src/main/java/org/apache/spark/examples/ml/JavaANOVASelectorExample.java
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|---|---|---|
| @@ -0,0 +1,81 @@ | ||
| /* | ||
| * 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; | ||
|
|
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| import org.apache.spark.sql.Dataset; | ||
| import org.apache.spark.sql.SparkSession; | ||
|
|
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| // $example on$ | ||
| import java.util.Arrays; | ||
| import java.util.List; | ||
|
|
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| import org.apache.spark.ml.feature.ANOVASelector; | ||
| import org.apache.spark.ml.linalg.VectorUDT; | ||
| import org.apache.spark.ml.linalg.Vectors; | ||
| import org.apache.spark.sql.Row; | ||
| import org.apache.spark.sql.RowFactory; | ||
| import org.apache.spark.sql.types.*; | ||
| // $example off$ | ||
|
|
||
| /** | ||
| * An example for ANOVASelector. | ||
| * Run with | ||
| * <pre> | ||
| * bin/run-example ml.JavaANOVASelectorExample | ||
| * </pre> | ||
| */ | ||
| public class JavaANOVASelectorExample { | ||
| public static void main(String[] args) { | ||
| SparkSession spark = SparkSession | ||
| .builder() | ||
| .appName("JavaANOVASelectorExample") | ||
| .getOrCreate(); | ||
|
|
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| // $example on$ | ||
| List<Row> data = Arrays.asList( | ||
| RowFactory.create(1, Vectors.dense(1.7, 4.4, 7.6, 5.8, 9.6, 2.3), 3.0), | ||
| RowFactory.create(2, Vectors.dense(8.8, 7.3, 5.7, 7.3, 2.2, 4.1), 2.0), | ||
| RowFactory.create(3, Vectors.dense(1.2, 9.5, 2.5, 3.1, 8.7, 2.5), 3.0), | ||
| RowFactory.create(4, Vectors.dense(3.7, 9.2, 6.1, 4.1, 7.5, 3.8), 2.0), | ||
| RowFactory.create(5, Vectors.dense(8.9, 5.2, 7.8, 8.3, 5.2, 3.0), 4.0), | ||
| RowFactory.create(6, Vectors.dense(7.9, 8.5, 9.2, 4.0, 9.4, 2.1), 4.0) | ||
| ); | ||
| StructType schema = new StructType(new StructField[]{ | ||
| new StructField("id", DataTypes.IntegerType, false, Metadata.empty()), | ||
| new StructField("features", new VectorUDT(), false, Metadata.empty()), | ||
| new StructField("label", DataTypes.DoubleType, false, Metadata.empty()) | ||
| }); | ||
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| Dataset<Row> df = spark.createDataFrame(data, schema); | ||
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| ANOVASelector selector = new ANOVASelector() | ||
| .setNumTopFeatures(1) | ||
| .setFeaturesCol("features") | ||
| .setLabelCol("label") | ||
| .setOutputCol("selectedFeatures"); | ||
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| Dataset<Row> result = selector.fit(df).transform(df); | ||
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| System.out.println("ANOVASelector output with top " + selector.getNumTopFeatures() | ||
| + " features selected"); | ||
| result.show(); | ||
|
|
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| // $example off$ | ||
| spark.stop(); | ||
| } | ||
| } |
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examples/src/main/java/org/apache/spark/examples/ml/JavaFValueSelectorExample.java
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,81 @@ | ||
| /* | ||
| * 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. | ||
| */ | ||
|
|
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| package org.apache.spark.examples.ml; | ||
|
|
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| import org.apache.spark.sql.Dataset; | ||
| import org.apache.spark.sql.SparkSession; | ||
|
|
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| // $example on$ | ||
| import java.util.Arrays; | ||
| import java.util.List; | ||
|
|
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| import org.apache.spark.ml.feature.FValueSelector; | ||
| import org.apache.spark.ml.linalg.VectorUDT; | ||
| import org.apache.spark.ml.linalg.Vectors; | ||
| import org.apache.spark.sql.Row; | ||
| import org.apache.spark.sql.RowFactory; | ||
| import org.apache.spark.sql.types.*; | ||
| // $example off$ | ||
|
|
||
| /** | ||
| * An example demonstrating FValueSelector. | ||
| * Run with | ||
| * <pre> | ||
| * bin/run-example ml.JavaFValueSelectorExample | ||
| * </pre> | ||
| */ | ||
| public class JavaFValueSelectorExample { | ||
| public static void main(String[] args) { | ||
| SparkSession spark = SparkSession | ||
| .builder() | ||
| .appName("JavaFValueSelectorExample") | ||
| .getOrCreate(); | ||
|
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| // $example on$ | ||
| List<Row> data = Arrays.asList( | ||
| RowFactory.create(1, Vectors.dense(6.0, 7.0, 0.0, 7.0, 6.0, 0.0), 4.6), | ||
| RowFactory.create(2, Vectors.dense(0.0, 9.0, 6.0, 0.0, 5.0, 9.0), 6.6), | ||
| RowFactory.create(3, Vectors.dense(0.0, 9.0, 3.0, 0.0, 5.0, 5.0), 5.1), | ||
| RowFactory.create(4, Vectors.dense(0.0, 9.0, 8.0, 5.0, 6.0, 4.0), 7.6), | ||
| RowFactory.create(5, Vectors.dense(8.0, 9.0, 6.0, 5.0, 4.0, 4.0), 9.0), | ||
| RowFactory.create(6, Vectors.dense(8.0, 9.0, 6.0, 4.0, 0.0, 0.0), 9.0) | ||
| ); | ||
| StructType schema = new StructType(new StructField[]{ | ||
| new StructField("id", DataTypes.IntegerType, false, Metadata.empty()), | ||
| new StructField("features", new VectorUDT(), false, Metadata.empty()), | ||
| new StructField("label", DataTypes.DoubleType, false, Metadata.empty()) | ||
| }); | ||
|
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| Dataset<Row> df = spark.createDataFrame(data, schema); | ||
|
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| FValueSelector selector = new FValueSelector() | ||
| .setNumTopFeatures(1) | ||
| .setFeaturesCol("features") | ||
| .setLabelCol("label") | ||
| .setOutputCol("selectedFeatures"); | ||
|
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| Dataset<Row> result = selector.fit(df).transform(df); | ||
|
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| System.out.println("FValueSelector output with top " + selector.getNumTopFeatures() | ||
| + " features selected"); | ||
| result.show(); | ||
|
|
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| // $example off$ | ||
| spark.stop(); | ||
| } | ||
| } |
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