41 lines
1.0 KiB
Java
41 lines
1.0 KiB
Java
package machine_learning.perceptron;
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import machine_learning.Vector;
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import org.junit.jupiter.api.BeforeAll;
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import org.junit.jupiter.api.Test;
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import org.junit.jupiter.api.TestInstance;
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import java.util.ArrayList;
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import java.util.List;
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@TestInstance(TestInstance.Lifecycle.PER_CLASS)
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class PerceptronTest
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{
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List<Vector> positives;
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List<Vector> negatives;
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@BeforeAll
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void initLearnData()
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{
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double biasUnit = 1d;
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this.positives = new ArrayList<>(List.of(
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new Vector(8d, 4d, biasUnit),
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new Vector(8d, 6d, biasUnit),
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new Vector(9d, 2d, biasUnit),
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new Vector(9d, 5d, biasUnit))
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);
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this.negatives = new ArrayList<>(List.of(
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new Vector(6d, 1d, biasUnit),
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new Vector(7d, 3d, biasUnit),
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new Vector(8d, 2d, biasUnit),
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new Vector(9d, 0d, biasUnit))
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);
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}
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@Test
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void shouldClassifyCorrect()
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{
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new Perceptron().learn(this.positives, this.negatives);
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}
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} |