IGNITE-8907: [ML] Using vectors in featureExtractor
[ignite.git] / modules / ml / src / main / java / org / apache / ignite / ml / knn / regression / KNNRegressionTrainer.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.knn.regression;
19
20 import org.apache.ignite.ml.dataset.DatasetBuilder;
21 import org.apache.ignite.ml.knn.KNNUtils;
22 import org.apache.ignite.ml.math.Vector;
23 import org.apache.ignite.ml.math.functions.IgniteBiFunction;
24 import org.apache.ignite.ml.trainers.SingleLabelDatasetTrainer;
25
26 /**
27 * kNN algorithm trainer to solve regression task.
28 */
29 public class KNNRegressionTrainer implements SingleLabelDatasetTrainer<KNNRegressionModel> {
30 /**
31 * Trains model based on the specified data.
32 *
33 * @param datasetBuilder Dataset builder.
34 * @param featureExtractor Feature extractor.
35 * @param lbExtractor Label extractor.
36 * @return Model.
37 */
38 public <K, V> KNNRegressionModel fit(DatasetBuilder<K, V> datasetBuilder,
39 IgniteBiFunction<K, V, Vector> featureExtractor, IgniteBiFunction<K, V, Double> lbExtractor) {
40 return new KNNRegressionModel(KNNUtils.buildDataset(datasetBuilder, featureExtractor, lbExtractor));
41 }
42 }