/**
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you 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.
*/
package org.apache.hama.ml.regression;
import org.apache.hama.ml.math.DenseDoubleVector;
import org.apache.hama.ml.math.DoubleVector;
import org.junit.Test;
import static org.junit.Assert.assertEquals;
/**
* Testcase for {@link LogisticRegressionModel}
*/
public class LogisticRegressionModelTest {
@Test
public void testCorrectCostCalculation() throws Exception {
LogisticRegressionModel logisticRegressionModel = new LogisticRegressionModel();
DoubleVector x = new DenseDoubleVector(new double[]{2, 3, 4});
double y = 1;
DoubleVector theta = new DenseDoubleVector(new double[]{1, 1, 1});
Double cost = logisticRegressionModel.calculateCostForItem(x, y, 2, theta);
assertEquals("wrong cost calculation for logistic regression", Double.valueOf(6.170109486162941E-5), cost);
}
@Test
public void testCorrectHypothesisCalculation() throws Exception {
LogisticRegressionModel logisticRegressionModel = new LogisticRegressionModel();
Double hypothesisValue = logisticRegressionModel.applyHypothesis(new DenseDoubleVector(new double[]{1, 1, 1}),
new DenseDoubleVector(new double[]{2, 3, 4}));
assertEquals("wrong hypothesis value for logistic regression", Double.valueOf(0.9998766054240138), hypothesisValue);
}
}