diff options
Diffstat (limited to 'examples')
-rw-r--r-- | examples/src/main/java/org/apache/spark/examples/ml/JavaInteractionExample.java | 88 | ||||
-rw-r--r-- | examples/src/main/scala/org/apache/spark/examples/ml/InteractionExample.scala | 68 |
2 files changed, 156 insertions, 0 deletions
diff --git a/examples/src/main/java/org/apache/spark/examples/ml/JavaInteractionExample.java b/examples/src/main/java/org/apache/spark/examples/ml/JavaInteractionExample.java new file mode 100644 index 0000000000..4213c05703 --- /dev/null +++ b/examples/src/main/java/org/apache/spark/examples/ml/JavaInteractionExample.java @@ -0,0 +1,88 @@ +/* + * 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.ml.feature.Interaction; +import org.apache.spark.ml.feature.VectorAssembler; +import org.apache.spark.ml.linalg.Vectors; +import org.apache.spark.sql.*; +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; + +import java.util.Arrays; +import java.util.List; + +// $example on$ +// $example off$ + +public class JavaInteractionExample { + public static void main(String[] args) { + SparkSession spark = SparkSession + .builder() + .appName("JavaInteractionExample") + .getOrCreate(); + + // $example on$ + List<Row> data = Arrays.asList( + RowFactory.create(1, 1, 2, 3, 8, 4, 5), + RowFactory.create(2, 4, 3, 8, 7, 9, 8), + RowFactory.create(3, 6, 1, 9, 2, 3, 6), + RowFactory.create(4, 10, 8, 6, 9, 4, 5), + RowFactory.create(5, 9, 2, 7, 10, 7, 3), + RowFactory.create(6, 1, 1, 4, 2, 8, 4) + ); + + StructType schema = new StructType(new StructField[]{ + new StructField("id1", DataTypes.IntegerType, false, Metadata.empty()), + new StructField("id2", DataTypes.IntegerType, false, Metadata.empty()), + new StructField("id3", DataTypes.IntegerType, false, Metadata.empty()), + new StructField("id4", DataTypes.IntegerType, false, Metadata.empty()), + new StructField("id5", DataTypes.IntegerType, false, Metadata.empty()), + new StructField("id6", DataTypes.IntegerType, false, Metadata.empty()), + new StructField("id7", DataTypes.IntegerType, false, Metadata.empty()) + }); + + Dataset<Row> df = spark.createDataFrame(data, schema); + + VectorAssembler assembler1 = new VectorAssembler() + .setInputCols(new String[]{"id2", "id3", "id4"}) + .setOutputCol("vec1"); + + Dataset<Row> assembled1 = assembler1.transform(df); + + VectorAssembler assembler2 = new VectorAssembler() + .setInputCols(new String[]{"id5", "id6", "id7"}) + .setOutputCol("vec2"); + + Dataset<Row> assembled2 = assembler2.transform(assembled1).select("id1", "vec1", "vec2"); + + Interaction interaction = new Interaction() + .setInputCols(new String[]{"id1","vec1","vec2"}) + .setOutputCol("interactedCol"); + + Dataset<Row> interacted = interaction.transform(assembled2); + + interacted.show(false); + // $example off$ + + spark.stop(); + } +} + diff --git a/examples/src/main/scala/org/apache/spark/examples/ml/InteractionExample.scala b/examples/src/main/scala/org/apache/spark/examples/ml/InteractionExample.scala new file mode 100644 index 0000000000..8113c992b1 --- /dev/null +++ b/examples/src/main/scala/org/apache/spark/examples/ml/InteractionExample.scala @@ -0,0 +1,68 @@ +/* + * 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.Interaction +import org.apache.spark.ml.feature.VectorAssembler +// $example off$ +import org.apache.spark.sql.SparkSession + +object InteractionExample { + def main(args: Array[String]): Unit = { + val spark = SparkSession + .builder + .appName("InteractionExample") + .getOrCreate() + + // $example on$ + val df = spark.createDataFrame(Seq( + (1, 1, 2, 3, 8, 4, 5), + (2, 4, 3, 8, 7, 9, 8), + (3, 6, 1, 9, 2, 3, 6), + (4, 10, 8, 6, 9, 4, 5), + (5, 9, 2, 7, 10, 7, 3), + (6, 1, 1, 4, 2, 8, 4) + )).toDF("id1", "id2", "id3", "id4", "id5", "id6", "id7") + + val assembler1 = new VectorAssembler(). + setInputCols(Array("id2", "id3", "id4")). + setOutputCol("vec1") + + val assembled1 = assembler1.transform(df) + + val assembler2 = new VectorAssembler(). + setInputCols(Array("id5", "id6", "id7")). + setOutputCol("vec2") + + val assembled2 = assembler2.transform(assembled1).select("id1", "vec1", "vec2") + + val interaction = new Interaction() + .setInputCols(Array("id1", "vec1", "vec2")) + .setOutputCol("interactedCol") + + val interacted = interaction.transform(assembled2) + + interacted.show(truncate = false) + // $example off$ + + spark.stop() + } +} +// scalastyle:on println |