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Refactored Perceptron

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Niklas Birk
2019-06-27 00:02:21 +02:00
parent 54cfe2dece
commit 05dba5bae5
2 changed files with 12 additions and 9 deletions
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4
src/machine_learning/perceptron/Perceptron.java
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@@ -6,10 +6,12 @@ import java.util.List;
public class Perceptron public class Perceptron
{ {
private Vector weight;
public void learn(List<Vector> positives, List<Vector> negatives) public void learn(List<Vector> positives, List<Vector> negatives)
{ {
var iterationCounter = 0; var iterationCounter = 0;
var weight = this.getInitializationVector(positives, negatives); this.weight = this.getInitializationVector(positives, negatives);
do do
{ {

17
test/machine_learning/perceptron/PerceptronTest.java
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@@ -1,5 +1,6 @@
package machine_learning.perceptron; package machine_learning.perceptron;
import machine_learning.Vector;
import org.junit.jupiter.api.BeforeAll; import org.junit.jupiter.api.BeforeAll;
import org.junit.jupiter.api.Test; import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.TestInstance; import org.junit.jupiter.api.TestInstance;
@@ -18,17 +19,17 @@ class PerceptronTest
{ {
double biasUnit = 1d; double biasUnit = 1d;
this.positives = new ArrayList<>(List.of( this.positives = new ArrayList<>(List.of(
new Vector(List.of(8d, 4d, biasUnit)), new Vector(8d, 4d, biasUnit),
new Vector(List.of(8d, 6d, biasUnit)), new Vector(8d, 6d, biasUnit),
new Vector(List.of(9d, 2d, biasUnit)), new Vector(9d, 2d, biasUnit),
new Vector(List.of(9d, 5d, biasUnit))) new Vector(9d, 5d, biasUnit))
); );
this.negatives = new ArrayList<>(List.of( this.negatives = new ArrayList<>(List.of(
new Vector(List.of(6d, 1d, biasUnit)), new Vector(6d, 1d, biasUnit),
new Vector(List.of(7d, 3d, biasUnit)), new Vector(7d, 3d, biasUnit),
new Vector(List.of(8d, 2d, biasUnit)), new Vector(8d, 2d, biasUnit),
new Vector(List.of(9d, 0d, biasUnit))) new Vector(9d, 0d, biasUnit))
); );
} }