IGNITE-8907: [ML] Using vectors in featureExtractor
[ignite.git] / modules / ml / src / main / java / org / apache / ignite / ml / composition / boosting / GDBRegressionTrainer.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.composition.boosting;
19
20 import org.apache.ignite.ml.dataset.DatasetBuilder;
21 import org.apache.ignite.ml.math.Vector;
22 import org.apache.ignite.ml.math.functions.IgniteBiFunction;
23
24 /**
25 * Trainer for regressor using Gradient Boosting.
26 * This algorithm uses gradient of Mean squared error loss metric [MSE] in each step of learning.
27 */
28 public abstract class GDBRegressionTrainer extends GDBTrainer {
29 /**
30 * Constructs instance of GDBRegressionTrainer.
31 *
32 * @param gradStepSize Grad step size.
33 * @param cntOfIterations Count of learning iterations.
34 */
35 public GDBRegressionTrainer(double gradStepSize, Integer cntOfIterations) {
36 super(gradStepSize,
37 cntOfIterations,
38 LossGradientPerPredictionFunctions.MSE);
39 }
40
41 /** {@inheritDoc} */
42 @Override protected <V, K> void learnLabels(DatasetBuilder<K, V> builder, IgniteBiFunction<K, V, Vector> featureExtractor,
43 IgniteBiFunction<K, V, Double> lExtractor) {
44
45 }
46
47 /** {@inheritDoc} */
48 @Override protected double externalLabelToInternal(double x) {
49 return x;
50 }
51
52 /** {@inheritDoc} */
53 @Override protected double internalLabelToExternal(double x) {
54 return x;
55 }
56 }