/*
* 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.mahout.classifier.sgd;
import org.apache.mahout.common.RandomUtils;
import org.apache.mahout.math.Vector;
import org.junit.Test;
import java.io.IOException;
import java.util.Random;
public final class GradientMachineTest extends OnlineBaseTest {
@Test
public void testGradientmachine() throws IOException {
Vector target = readStandardData();
GradientMachine grad = new GradientMachine(8, 4, 2).learningRate(0.1).regularization(0.01);
RandomUtils.useTestSeed();
Random gen = RandomUtils.getRandom();
grad.initWeights(gen);
train(getInput(), target, grad);
test(getInput(), target, grad, 0.05, 1);
}
}