edu.snu.dolphin.bsp.examples.ml.loss.SquareLoss.java Source code

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Here is the source code for edu.snu.dolphin.bsp.examples.ml.loss.SquareLoss.java

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/*
 * Copyright (C) 2015 Seoul National University
 *
 * Licensed 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 edu.snu.dolphin.bsp.examples.ml.loss;

import org.apache.mahout.math.Vector;

import javax.inject.Inject;

/**
 * Represents the regularize for linear regression (least mean squares).
 */
public final class SquareLoss implements Loss {

    @Inject
    public SquareLoss() {
    }

    @Override
    public double loss(final double predict, final double output) {
        return Math.pow(predict - output, 2) / 2;
    }

    @Override
    public Vector gradient(final Vector feature, final double predict, final double output) {
        return feature.times(predict - output);
    }
}