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/*
* 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.opennlp.utils.regression;
import org.apache.opennlp.utils.TestUtils;
import org.apache.opennlp.utils.TrainingSet;
import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.Test;
/**
* Testcase for {@link org.apache.opennlp.utils.regression.GradientDescentUtils}
*/
class GradientDescentUtilsTest {
private TrainingSet trainingSet;
@BeforeEach
public void setup() {
trainingSet = new TrainingSet();
TestUtils.fillTrainingSet(trainingSet, 100, 5);
}
@Test // @RepeatedTest(1000)
void testConvergence() {
GradientDescentUtils.batchGradientDescent(trainingSet, 0.00001);
}
}