/
Trainer.java
51 lines (40 loc) · 1.1 KB
/
Trainer.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
import java.util.List;
import java.util.Map;
public class Trainer {
private Map<List<Integer>, Integer> trainingData;
private int epochCounter;
public Trainer(Map<List<Integer>, Integer> trainingData){
this.trainingData = trainingData;
epochCounter = 1;
}
public void train(Perceptron p){
if (Main.DEBUG){
//Just hardcoding the case of 2 inputs and 2 weights
System.out.printf("%-9s %-9s %-9s %-9s %-9s %-9s %-9s %-9s\n", "Epoch", "X1", "X2", "ExpectedY", "ActualY", "Error", "W1", "W2");
}
boolean error;
//loop until an epoch produces no error
do{
error = epoch(p);
}
while(error);
}
private boolean epoch(Perceptron p){
boolean lingeringError = false;
//train on each instance in the data set
for (List<Integer> input : trainingData.keySet()){
if (Main.DEBUG){
System.out.printf("%-10d", epochCounter);
}
int error = p.train(input, outputFor(input));
if (error != 0){
lingeringError = true;
}
}
epochCounter++;
return lingeringError;
}
private Integer outputFor(List<Integer> input){
return trainingData.get(input);
}
}