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Perceptron (unfinished)

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This commit is contained in:
Niklas Birk 2019-06-23 13:48:53 +02:00
parent 84a1b61477
commit 5f9776c4ef
3 changed files with 29 additions and 16 deletions
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17
src/machine_learning/perceptron/Perceptron.java
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@ -1,6 +1,7 @@
package machine_learning.perceptron;
import java.util.List;
import java.util.stream.IntStream;
public class Perceptron
{
@ -36,7 +37,7 @@ public class Perceptron
}
private Vector getInitializationVector(List<Vector> positives, List<Vector> negatives)
{/*
{
var a = new Vector(positives.get(0).dimension());
for (var x : positives)
{
@ -49,9 +50,7 @@ public class Perceptron
b = b.add(x);
}
return a.subtract(b);*/
return new Vector(positives.get(0).dimension());
return a.subtract(b);
}
private boolean elementsAreCorrectClassified(List<Vector> vectors, Vector weight, int expectedClass)
@ -60,7 +59,7 @@ public class Perceptron
for (var x : vectors)
{
actualClass = weight.scalar(x) > 0 ? 1 : 0;
actualClass = scalarForThreshholdPerceptron(weight, x) > weight.get(weight.dimension()-1) ? 1 : 0;
if (actualClass != expectedClass)
{
@ -70,4 +69,12 @@ public class Perceptron
return true;
}
private double scalarForThreshholdPerceptron(Vector a, Vector b)
{
return IntStream.range(0,
a.dimension()-1)
.mapToDouble(i -> a.get(i) * b.get(i))
.sum();
}
}

11
src/machine_learning/perceptron/Vector.java
View File

@ -33,7 +33,7 @@ public class Vector
public Vector add(Vector b)
{
return new Vector(IntStream.range(0,
this.values.size())
this.dimension())
.mapToObj(i -> this.values.get(i) + b.values.get(i))
.collect(Collectors.toCollection(ArrayList::new))
);
@ -43,7 +43,7 @@ public class Vector
public Vector subtract(Vector b)
{
return new Vector(IntStream.range(0,
this.values.size())
this.dimension())
.mapToObj(i -> this.values.get(i) - b.values.get(i))
.collect(Collectors.toCollection(ArrayList::new))
);
@ -52,11 +52,16 @@ public class Vector
public double scalar(Vector b)
{
return IntStream.range(0,
this.values.size())
this.dimension())
.mapToDouble(i -> this.values.get(i) * b.values.get(i))
.sum();
}
public double get(int index)
{
return this.values.get(index);
}
@Override
public boolean equals(Object o)
{

17
test/machine_learning/perceptron/PerceptronTest.java
View File

@ -16,18 +16,19 @@ class PerceptronTest
@BeforeAll
void initLearnData()
{
double biasUnit = 1d;
this.positives = new ArrayList<>(List.of(
new Vector(List.of(8d, 4d)),
new Vector(List.of(8d, 6d)),
new Vector(List.of(9d, 2d)),
new Vector(List.of(9d, 5d)))
new Vector(List.of(8d, 4d, biasUnit)),
new Vector(List.of(8d, 6d, biasUnit)),
new Vector(List.of(9d, 2d, biasUnit)),
new Vector(List.of(9d, 5d, biasUnit)))
);
this.negatives = new ArrayList<>(List.of(
new Vector(List.of(6d, 1d)),
new Vector(List.of(7d, 3d)),
new Vector(List.of(8d, 2d)),
new Vector(List.of(9d, 0d)))
new Vector(List.of(6d, 1d, biasUnit)),
new Vector(List.of(7d, 3d, biasUnit)),
new Vector(List.of(8d, 2d, biasUnit)),
new Vector(List.of(9d, 0d, biasUnit)))
);
}