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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.reef.examples.group.bgd.loss;
import org.apache.reef.tang.annotations.DefaultImplementation;
/**
* Interface for Loss Functions.
*/
@DefaultImplementation(SquaredErrorLossFunction.class)
public interface LossFunction {
/**
* Computes the loss incurred by predicting f, if y is the true label.
*
* @param y the label
* @param f the prediction
* @return the loss incurred by predicting f, if y is the true label.
*/
double computeLoss(double y, double f);
/**
* Computes the gradient with respect to f, if y is the true label.
*
* @param y the label
* @param f the prediction
* @return the gradient with respect to f
*/
double computeGradient(double y, double f);
}