Package org.apache.mahout.math.hadoop.solver

Source Code of org.apache.mahout.math.hadoop.solver.TestDistributedConjugateGradientSolver

/**
* 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.math.hadoop.solver;

import java.io.File;
import java.util.Random;

import org.apache.mahout.common.MahoutTestCase;
import org.apache.mahout.common.RandomUtils;
import org.apache.mahout.math.DenseVector;
import org.apache.mahout.math.Vector;
import org.apache.mahout.math.hadoop.DistributedRowMatrix;
import org.apache.mahout.math.hadoop.TestDistributedRowMatrix;
import org.junit.Test;

public final class TestDistributedConjugateGradientSolver extends MahoutTestCase {

  private static Vector randomVector(int size, double entryMean) {
    DenseVector v = new DenseVector(size);
    Random r = RandomUtils.getRandom();
   
    for (int i = 0; i < size; ++i) {
      v.setQuick(i, r.nextGaussian() * entryMean);
    }
   
    return v;
  }

  @Test
  public void testSolver() throws Exception {
    File testData = getTestTempDir("testdata");
    DistributedRowMatrix matrix = new TestDistributedRowMatrix().randomDistributedMatrix(
        10, 10, 10, 10, 10.0, true, testData.getAbsolutePath());
    matrix.setConf(getConfiguration());
    Vector vector = randomVector(matrix.numCols(), 10.0);
   
    DistributedConjugateGradientSolver solver = new DistributedConjugateGradientSolver();
    Vector x = solver.solve(matrix, vector);

    Vector solvedVector = matrix.times(x);   
    double distance = Math.sqrt(vector.getDistanceSquared(solvedVector));
    assertEquals(0.0, distance, EPSILON);
  }
}
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