Package org.encog.ml.data.versatile

Source Code of org.encog.ml.data.versatile.TestMatrixMLDataSet

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
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
/*
* Encog(tm) Core v3.3 - Java Version
* http://www.heatonresearch.com/encog/
* https://github.com/encog/encog-java-core
* Copyright 2008-2014 Heaton Research, Inc.
*
* Licensed 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.
*  
* For more information on Heaton Research copyrights, licenses
* and trademarks visit:
* http://www.heatonresearch.com/copyright
*/
package org.encog.ml.data.versatile;

import junit.framework.Assert;

import org.encog.Encog;
import org.encog.ml.data.MLDataPair;
import org.junit.Test;

public class TestMatrixMLDataSet {
 
  public static final double[][] DATA1 = {
    { 1.0, 10.0 },
    { 2.0, 20.0 },
    { 3.0, 30.0 },
    { 4.0, 40.0 },
    { 5.0, 50.0 },
    { 6.0, 60.0 },
    { 7.0, 70.0 },
    { 8.0, 80.0 },
    { 9.0, 90.0 },
    { 10.0, 100.0 }
};
 
  @Test
  public void testTimeSeriesLead1Lag0() {
    MatrixMLDataSet dset = new MatrixMLDataSet(DATA1,1,1);
    dset.setLeadWindowSize(1);
   
    Assert.assertEquals(9, dset.size());
   
    MLDataPair p1 = dset.get(0);
    Assert.assertEquals(1.0, p1.getInput().getData(0),Encog.DEFAULT_DOUBLE_EQUAL);
    Assert.assertEquals(20.0, p1.getIdeal().getData(0),Encog.DEFAULT_DOUBLE_EQUAL);
   
    MLDataPair p2 = dset.get(1);
    Assert.assertEquals(2.0, p2.getInput().getData(0),Encog.DEFAULT_DOUBLE_EQUAL);
    Assert.assertEquals(30.0, p2.getIdeal().getData(0),Encog.DEFAULT_DOUBLE_EQUAL);
   
    MLDataPair p3 = dset.get(2);
    Assert.assertEquals(3.0, p3.getInput().getData(0),Encog.DEFAULT_DOUBLE_EQUAL);
    Assert.assertEquals(40.0, p3.getIdeal().getData(0),Encog.DEFAULT_DOUBLE_EQUAL);
  }
 
  @Test
  public void testTimeSeriesLead0Lag1() {
    MatrixMLDataSet dset = new MatrixMLDataSet(DATA1,1,1);
    dset.setLagWindowSize(1);
   
    Assert.assertEquals(9, dset.size());
   
    MLDataPair p1 = dset.get(0);
    Assert.assertEquals(1.0, p1.getInput().getData(0),Encog.DEFAULT_DOUBLE_EQUAL);
    Assert.assertEquals(2.0, p1.getInput().getData(1),Encog.DEFAULT_DOUBLE_EQUAL);
    Assert.assertEquals(10.0, p1.getIdeal().getData(0),Encog.DEFAULT_DOUBLE_EQUAL);
   
    MLDataPair p2 = dset.get(1);
    Assert.assertEquals(2.0, p2.getInput().getData(0),Encog.DEFAULT_DOUBLE_EQUAL);
    Assert.assertEquals(3.0, p2.getInput().getData(1),Encog.DEFAULT_DOUBLE_EQUAL);
    Assert.assertEquals(20.0, p2.getIdeal().getData(0),Encog.DEFAULT_DOUBLE_EQUAL);
   
    MLDataPair p3 = dset.get(2);
    Assert.assertEquals(3.0, p3.getInput().getData(0),Encog.DEFAULT_DOUBLE_EQUAL);
    Assert.assertEquals(4.0, p3.getInput().getData(1),Encog.DEFAULT_DOUBLE_EQUAL);
    Assert.assertEquals(30.0, p3.getIdeal().getData(0),Encog.DEFAULT_DOUBLE_EQUAL);
  }
 
  @Test
  public void testTimeSeriesLead1Lag1() {
    MatrixMLDataSet dset = new MatrixMLDataSet(DATA1,1,1);
    dset.setLeadWindowSize(1);
    dset.setLagWindowSize(1);
   
    Assert.assertEquals(8, dset.size());
   
    MLDataPair p1 = dset.get(0);
    Assert.assertEquals(1.0, p1.getInput().getData(0),Encog.DEFAULT_DOUBLE_EQUAL);
    Assert.assertEquals(2.0, p1.getInput().getData(1),Encog.DEFAULT_DOUBLE_EQUAL);
    Assert.assertEquals(20.0, p1.getIdeal().getData(0),Encog.DEFAULT_DOUBLE_EQUAL);
   
    MLDataPair p2 = dset.get(1);
    Assert.assertEquals(2.0, p2.getInput().getData(0),Encog.DEFAULT_DOUBLE_EQUAL);
    Assert.assertEquals(3.0, p2.getInput().getData(1),Encog.DEFAULT_DOUBLE_EQUAL);
    Assert.assertEquals(30.0, p2.getIdeal().getData(0),Encog.DEFAULT_DOUBLE_EQUAL);
   
    MLDataPair p3 = dset.get(2);
    Assert.assertEquals(3.0, p3.getInput().getData(0),Encog.DEFAULT_DOUBLE_EQUAL);
    Assert.assertEquals(4.0, p3.getInput().getData(1),Encog.DEFAULT_DOUBLE_EQUAL);
    Assert.assertEquals(40.0, p3.getIdeal().getData(0),Encog.DEFAULT_DOUBLE_EQUAL);
  }
 
  @Test
  public void testTimeSeriesLead2Lag1() {
    MatrixMLDataSet dset = new MatrixMLDataSet(DATA1,1,1);
    dset.setLeadWindowSize(2);
    dset.setLagWindowSize(1);
   
    Assert.assertEquals(7, dset.size());
   
    MLDataPair p1 = dset.get(0);
    Assert.assertEquals(1.0, p1.getInput().getData(0),Encog.DEFAULT_DOUBLE_EQUAL);
    Assert.assertEquals(2.0, p1.getInput().getData(1),Encog.DEFAULT_DOUBLE_EQUAL);
    Assert.assertEquals(20.0, p1.getIdeal().getData(0),Encog.DEFAULT_DOUBLE_EQUAL);
    Assert.assertEquals(30.0, p1.getIdeal().getData(1),Encog.DEFAULT_DOUBLE_EQUAL);
   
    MLDataPair p2 = dset.get(1);
    Assert.assertEquals(2.0, p2.getInput().getData(0),Encog.DEFAULT_DOUBLE_EQUAL);
    Assert.assertEquals(3.0, p2.getInput().getData(1),Encog.DEFAULT_DOUBLE_EQUAL);
    Assert.assertEquals(30.0, p2.getIdeal().getData(0),Encog.DEFAULT_DOUBLE_EQUAL);
    Assert.assertEquals(40.0, p2.getIdeal().getData(1),Encog.DEFAULT_DOUBLE_EQUAL);
   
    MLDataPair p3 = dset.get(2);
    Assert.assertEquals(3.0, p3.getInput().getData(0),Encog.DEFAULT_DOUBLE_EQUAL);
    Assert.assertEquals(4.0, p3.getInput().getData(1),Encog.DEFAULT_DOUBLE_EQUAL);
    Assert.assertEquals(40.0, p3.getIdeal().getData(0),Encog.DEFAULT_DOUBLE_EQUAL);
    Assert.assertEquals(50.0, p3.getIdeal().getData(1),Encog.DEFAULT_DOUBLE_EQUAL);
  }
 
  @Test
  public void testTimeSeriesLead1Lag2() {
    MatrixMLDataSet dset = new MatrixMLDataSet(DATA1,1,1);
    dset.setLeadWindowSize(1);
    dset.setLagWindowSize(2);
   
    Assert.assertEquals(7, dset.size());
   
    MLDataPair p1 = dset.get(0);
    Assert.assertEquals(1.0, p1.getInput().getData(0),Encog.DEFAULT_DOUBLE_EQUAL);
    Assert.assertEquals(2.0, p1.getInput().getData(1),Encog.DEFAULT_DOUBLE_EQUAL);
    Assert.assertEquals(3.0, p1.getInput().getData(2),Encog.DEFAULT_DOUBLE_EQUAL);
    Assert.assertEquals(20.0, p1.getIdeal().getData(0),Encog.DEFAULT_DOUBLE_EQUAL);
   
    MLDataPair p2 = dset.get(1);
    Assert.assertEquals(2.0, p2.getInput().getData(0),Encog.DEFAULT_DOUBLE_EQUAL);
    Assert.assertEquals(3.0, p2.getInput().getData(1),Encog.DEFAULT_DOUBLE_EQUAL);
    Assert.assertEquals(4.0, p2.getInput().getData(2),Encog.DEFAULT_DOUBLE_EQUAL);
    Assert.assertEquals(30.0, p2.getIdeal().getData(0),Encog.DEFAULT_DOUBLE_EQUAL);
   
    MLDataPair p3 = dset.get(2);
    Assert.assertEquals(3.0, p3.getInput().getData(0),Encog.DEFAULT_DOUBLE_EQUAL);
    Assert.assertEquals(4.0, p3.getInput().getData(1),Encog.DEFAULT_DOUBLE_EQUAL);
    Assert.assertEquals(5.0, p3.getInput().getData(2),Encog.DEFAULT_DOUBLE_EQUAL);
    Assert.assertEquals(40.0, p3.getIdeal().getData(0),Encog.DEFAULT_DOUBLE_EQUAL);
  }
}
TOP

Related Classes of org.encog.ml.data.versatile.TestMatrixMLDataSet

  • org.encog.ml.data.MLDataPair
    • TOP
    Copyright © 2018 www.massapi.com. All rights reserved.
    All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.