-
Notifications
You must be signed in to change notification settings - Fork 3
/
NeuralNetworkOptimizable.java
109 lines (86 loc) · 3.2 KB
/
NeuralNetworkOptimizable.java
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
/*
* MIT License
*
* Copyright (c) 2019 Sebastian Gössl
*
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
* the rights to use, copy, modify, merge, publish, distribute, sublicense,
* and/or sell copies of the Software, and to permit persons to whom the
* Software is furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
* DEALINGS IN THE SOFTWARE.
*/
package neuralnetwork;
import java.util.ArrayList;
import matrix.Matrix;
import java.util.Arrays;
import java.util.List;
import java.util.PrimitiveIterator;
import optimization.Optimizable;
/**
* Wrapper class for NeuralNetwork to be optimizable.
* Wraps & unwraps the weight matricies to parameter arrays and parameter
* arrays to the weight matricies.
*
* @author Sebastian Gössl
* @version 1.2 13.9.2019
*/
public class NeuralNetworkOptimizable implements Optimizable<double[]> {
/**
* NeuralNetwork to wrap.
*/
private final NeuralNetwork net;
/**
* Constructs a new NeuralNetworkOptimizable with the given NeuralNetwork.
*
* @param net NeuralNetwork to wrap
*/
public NeuralNetworkOptimizable(NeuralNetwork net) {
this.net = net;
}
/**
* Unwraps the elements of a matrix array to a primitive double array.
*
* @param matricies matricies to be unwrapped
* @return elements of the matricies in an primitive double array
*/
private double[] matriciesToArray(Matrix[] matricies) {
final List<Double> list = new ArrayList<>();
for(Matrix matrix : matricies) {
matrix.forEach(list::add);
}
return list.stream().mapToDouble(Double::doubleValue).toArray();
}
@Override
public double[] getParameters() {
return matriciesToArray(net.getWeights());
}
@Override
public void setParameters(double[] params) {
final PrimitiveIterator.OfDouble iterator =
Arrays.stream(params).iterator();
for(Matrix weight : net.getWeights()) {
weight.set(() -> iterator.nextDouble());
}
}
@Override
public double cost(double[][] input, double[][] output) {
return net.cost(new Matrix(input), new Matrix(output));
}
@Override
public double[] costPrime(double[][] input, double[][] output) {
return matriciesToArray(
net.costPrime(new Matrix(input), new Matrix(output)));
}
}