| /* |
| * 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.flink.ml.feature; |
| |
| import org.apache.flink.api.common.restartstrategy.RestartStrategies; |
| import org.apache.flink.configuration.Configuration; |
| import org.apache.flink.ml.feature.featurehasher.FeatureHasher; |
| import org.apache.flink.ml.linalg.SparseVector; |
| import org.apache.flink.ml.linalg.Vectors; |
| import org.apache.flink.ml.util.TestUtils; |
| import org.apache.flink.streaming.api.datastream.DataStream; |
| import org.apache.flink.streaming.api.environment.ExecutionCheckpointingOptions; |
| import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; |
| import org.apache.flink.table.api.Table; |
| import org.apache.flink.table.api.bridge.java.StreamTableEnvironment; |
| import org.apache.flink.test.util.AbstractTestBase; |
| import org.apache.flink.types.Row; |
| |
| import org.apache.commons.collections.IteratorUtils; |
| import org.junit.Before; |
| import org.junit.Test; |
| |
| import java.util.Arrays; |
| import java.util.List; |
| |
| import static org.junit.Assert.assertArrayEquals; |
| import static org.junit.Assert.assertEquals; |
| |
| /** Tests {@link FeatureHasher}. */ |
| public class FeatureHasherTest extends AbstractTestBase { |
| |
| private StreamTableEnvironment tEnv; |
| private Table inputDataTable; |
| |
| private static final List<Row> INPUT_DATA = |
| Arrays.asList(Row.of(0, "a", 1.0, true), Row.of(1, "c", 1.0, false)); |
| |
| private static final SparseVector EXPECTED_OUTPUT_DATA_1 = |
| Vectors.sparse(1000, new int[] {607, 635, 913}, new double[] {1.0, 1.0, 1.0}); |
| private static final SparseVector EXPECTED_OUTPUT_DATA_2 = |
| Vectors.sparse(1000, new int[] {242, 869, 913}, new double[] {1.0, 1.0, 1.0}); |
| |
| @Before |
| public void before() { |
| Configuration config = new Configuration(); |
| config.set(ExecutionCheckpointingOptions.ENABLE_CHECKPOINTS_AFTER_TASKS_FINISH, true); |
| StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(config); |
| env.setParallelism(4); |
| env.enableCheckpointing(100); |
| env.setRestartStrategy(RestartStrategies.noRestart()); |
| tEnv = StreamTableEnvironment.create(env); |
| DataStream<Row> dataStream = env.fromCollection(INPUT_DATA); |
| inputDataTable = tEnv.fromDataStream(dataStream).as("id", "f0", "f1", "f2"); |
| } |
| |
| private void verifyOutputResult(Table output, String outputCol) throws Exception { |
| DataStream<Row> dataStream = tEnv.toDataStream(output); |
| List<Row> results = IteratorUtils.toList(dataStream.executeAndCollect()); |
| assertEquals(2, results.size()); |
| for (Row result : results) { |
| if (result.getField(0) == (Object) 0) { |
| assertEquals(EXPECTED_OUTPUT_DATA_1, result.getField(outputCol)); |
| } else if (result.getField(0) == (Object) 1) { |
| assertEquals(EXPECTED_OUTPUT_DATA_2, result.getField(outputCol)); |
| } else { |
| throw new RuntimeException("unknown output value."); |
| } |
| } |
| } |
| |
| @Test |
| public void testParam() { |
| FeatureHasher featureHasher = new FeatureHasher(); |
| assertEquals("output", featureHasher.getOutputCol()); |
| assertArrayEquals(new String[] {}, featureHasher.getCategoricalCols()); |
| assertEquals(262144, featureHasher.getNumFeatures()); |
| featureHasher |
| .setInputCols("f0", "f1", "f2") |
| .setOutputCol("vec") |
| .setCategoricalCols("f0", "f2") |
| .setNumFeatures(1000); |
| assertArrayEquals(new String[] {"f0", "f1", "f2"}, featureHasher.getInputCols()); |
| assertEquals("vec", featureHasher.getOutputCol()); |
| assertArrayEquals(new String[] {"f0", "f2"}, featureHasher.getCategoricalCols()); |
| assertEquals(1000, featureHasher.getNumFeatures()); |
| } |
| |
| @Test |
| public void testSaveLoadAndTransform() throws Exception { |
| FeatureHasher featureHash = |
| new FeatureHasher() |
| .setInputCols("f0", "f1", "f2") |
| .setOutputCol("vec") |
| .setCategoricalCols("f0", "f2") |
| .setNumFeatures(1000); |
| FeatureHasher loadedFeatureHasher = |
| TestUtils.saveAndReload( |
| tEnv, featureHash, TEMPORARY_FOLDER.newFolder().getAbsolutePath()); |
| Table output = loadedFeatureHasher.transform(inputDataTable)[0]; |
| verifyOutputResult(output, loadedFeatureHasher.getOutputCol()); |
| } |
| |
| @Test |
| public void testCategoricalColsNotSet() throws Exception { |
| FeatureHasher featureHash = |
| new FeatureHasher() |
| .setInputCols("f0", "f1", "f2") |
| .setOutputCol("vec") |
| .setNumFeatures(1000); |
| FeatureHasher loadedFeatureHasher = |
| TestUtils.saveAndReload( |
| tEnv, featureHash, TEMPORARY_FOLDER.newFolder().getAbsolutePath()); |
| Table output = loadedFeatureHasher.transform(inputDataTable)[0]; |
| verifyOutputResult(output, loadedFeatureHasher.getOutputCol()); |
| } |
| |
| @Test |
| public void testInputTypeConversion() throws Exception { |
| inputDataTable = TestUtils.convertDataTypesToSparseInt(tEnv, inputDataTable); |
| assertArrayEquals( |
| new Class<?>[] {Integer.class, String.class, Integer.class, Boolean.class}, |
| TestUtils.getColumnDataTypes(inputDataTable)); |
| |
| FeatureHasher featureHash = |
| new FeatureHasher() |
| .setInputCols("f0", "f1", "f2") |
| .setOutputCol("vec") |
| .setCategoricalCols("f0", "f2") |
| .setNumFeatures(1000); |
| FeatureHasher loadedFeatureHasher = |
| TestUtils.saveAndReload( |
| tEnv, featureHash, TEMPORARY_FOLDER.newFolder().getAbsolutePath()); |
| Table output = loadedFeatureHasher.transform(inputDataTable)[0]; |
| verifyOutputResult(output, loadedFeatureHasher.getOutputCol()); |
| } |
| } |