IGNITE-8907: [ML] Using vectors in featureExtractor
[ignite.git] / modules / ml / src / test / java / org / apache / ignite / ml / preprocessing / normalization / NormalizationPreprocessorTest.java
1 /*
2 * Licensed to the Apache Software Foundation (ASF) under one or more
3 * contributor license agreements. See the NOTICE file distributed with
4 * this work for additional information regarding copyright ownership.
5 * The ASF licenses this file to You under the Apache License, Version 2.0
6 * (the "License"); you may not use this file except in compliance with
7 * the License. You may obtain a copy of the License at
8 *
9 * http://www.apache.org/licenses/LICENSE-2.0
10 *
11 * Unless required by applicable law or agreed to in writing, software
12 * distributed under the License is distributed on an "AS IS" BASIS,
13 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14 * See the License for the specific language governing permissions and
15 * limitations under the License.
16 */
17
18 package org.apache.ignite.ml.preprocessing.normalization;
19
20 import org.apache.ignite.ml.math.Vector;
21 import org.apache.ignite.ml.math.VectorUtils;
22 import org.apache.ignite.ml.preprocessing.binarization.BinarizationPreprocessor;
23 import org.junit.Test;
24
25 import static org.junit.Assert.assertArrayEquals;
26
27 /**
28 * Tests for {@link BinarizationPreprocessor}.
29 */
30 public class NormalizationPreprocessorTest {
31 /** Tests {@code apply()} method. */
32 @Test
33 public void testApply() {
34 double[][] data = new double[][]{
35 {1, 2, 1},
36 {1, 1, 1},
37 {1, 0, 0},
38 };
39
40 NormalizationPreprocessor<Integer, Vector> preprocessor = new NormalizationPreprocessor<>(
41 1,
42 (k, v) -> v
43 );
44
45 double[][] postProcessedData = new double[][]{
46 {0.25, 0.5, 0.25},
47 {0.33, 0.33, 0.33},
48 {1, 0, 0}
49 };
50
51 for (int i = 0; i < data.length; i++)
52 assertArrayEquals(postProcessedData[i], preprocessor.apply(i, VectorUtils.of(data[i])).asArray(), 1e-2);
53 }
54 }