diff options
Diffstat (limited to 'mllib')
-rw-r--r-- | mllib/src/test/java/org/apache/spark/ml/feature/JavaPolynomialExpansionSuite.java | 91 |
1 files changed, 91 insertions, 0 deletions
diff --git a/mllib/src/test/java/org/apache/spark/ml/feature/JavaPolynomialExpansionSuite.java b/mllib/src/test/java/org/apache/spark/ml/feature/JavaPolynomialExpansionSuite.java new file mode 100644 index 0000000000..5e8211c2c5 --- /dev/null +++ b/mllib/src/test/java/org/apache/spark/ml/feature/JavaPolynomialExpansionSuite.java @@ -0,0 +1,91 @@ +/* + * 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.ml.feature; + +import com.google.common.collect.Lists; +import org.junit.After; +import org.junit.Assert; +import org.junit.Before; +import org.junit.Test; + +import org.apache.spark.api.java.JavaRDD; +import org.apache.spark.api.java.JavaSparkContext; +import org.apache.spark.mllib.linalg.Vector; +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.SQLContext; +import org.apache.spark.sql.types.Metadata; +import org.apache.spark.sql.types.StructField; +import org.apache.spark.sql.types.StructType; + +public class JavaPolynomialExpansionSuite { + private transient JavaSparkContext jsc; + private transient SQLContext jsql; + + @Before + public void setUp() { + jsc = new JavaSparkContext("local", "JavaPolynomialExpansionSuite"); + jsql = new SQLContext(jsc); + } + + @After + public void tearDown() { + jsc.stop(); + jsc = null; + } + + @Test + public void polynomialExpansionTest() { + PolynomialExpansion polyExpansion = new PolynomialExpansion() + .setInputCol("features") + .setOutputCol("polyFeatures") + .setDegree(3); + + JavaRDD<Row> data = jsc.parallelize(Lists.newArrayList( + RowFactory.create( + Vectors.dense(-2.0, 2.3), + Vectors.dense(-2.0, 4.0, -8.0, 2.3, -4.6, 9.2, 5.29, -10.58, 12.17) + ), + RowFactory.create(Vectors.dense(0.0, 0.0), Vectors.dense(new double[9])), + RowFactory.create( + Vectors.dense(0.6, -1.1), + Vectors.dense(0.6, 0.36, 0.216, -1.1, -0.66, -0.396, 1.21, 0.726, -1.331) + ) + )); + + StructType schema = new StructType(new StructField[] { + new StructField("features", new VectorUDT(), false, Metadata.empty()), + new StructField("expected", new VectorUDT(), false, Metadata.empty()) + }); + + DataFrame dataset = jsql.createDataFrame(data, schema); + + Row[] pairs = polyExpansion.transform(dataset) + .select("polyFeatures", "expected") + .collect(); + + for (Row r : pairs) { + double[] polyFeatures = ((Vector)r.get(0)).toArray(); + double[] expected = ((Vector)r.get(1)).toArray(); + Assert.assertArrayEquals(polyFeatures, expected, 1e-1); + } + } +} |