001/* 002 * Licensed to the Apache Software Foundation (ASF) under one 003 * or more contributor license agreements. See the NOTICE file 004 * distributed with this work for additional information 005 * regarding copyright ownership. The ASF licenses this file 006 * to you under the Apache License, Version 2.0 (the 007 * "License"); you may not use this file except in compliance 008 * with the License. You may obtain a copy of the License at 009 * 010 * http://www.apache.org/licenses/LICENSE-2.0 011 * 012 * Unless required by applicable law or agreed to in writing, 013 * software distributed under the License is distributed on an 014 * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY 015 * KIND, either express or implied. See the License for the 016 * specific language governing permissions and limitations 017 * under the License. 018 */ 019package org.apache.reef.examples.group.bgd.data; 020 021import org.apache.reef.examples.group.utils.math.Vector; 022 023import java.io.Serializable; 024 025/** 026 * Base interface for Examples for linear models. 027 */ 028public interface Example extends Serializable { 029 030 /** 031 * Access to the label. 032 * 033 * @return the label 034 */ 035 double getLabel(); 036 037 /** 038 * Computes the prediction for this Example, given the model w. 039 * <p> 040 * w.dot(this.getFeatures()) 041 * 042 * @param w the model 043 * @return the prediction for this Example, given the model w. 044 */ 045 double predict(Vector w); 046 047 /** 048 * Adds the current example's gradient to the gradientVector, assuming that 049 * the gradient with respect to the prediction is gradient. 050 */ 051 void addGradient(Vector gradientVector, double gradient); 052}