/*
 * 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.
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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);
    Random gen = RandomUtils.getRandom();
    grad.initWeights(gen);
    train(getInput(), target, grad);
    // TODO not sure why the RNG change made this fail. Value is 0.5-1.0 no matter what seed is chosen?
    test(getInput(), target, grad, 1.0, 1);
    //test(getInput(), target, grad, 0.05, 1);
  }

}
