package com.yahoo.labs.samoa.moa.evaluation; /* * #%L * SAMOA * %% * Copyright (C) 2009 University of Waikato, Hamilton, New Zealand * %% * 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. * #L% */ import com.yahoo.labs.samoa.moa.MOAObject; import com.yahoo.labs.samoa.moa.core.Example; import com.yahoo.labs.samoa.moa.core.Measurement; /** * Interface implemented by learner evaluators to monitor * the results of the learning process. * * @author Richard Kirkby (rkirkby@cs.waikato.ac.nz) * @version $Revision: 7 $ */ public interface LearningPerformanceEvaluator<E extends Example> extends MOAObject { /** * Resets this evaluator. It must be similar to * starting a new evaluator from scratch. * */ public void reset(); /** * Adds a learning result to this evaluator. * * @param example the example to be classified * @param classVotes an array containing the estimated membership * probabilities of the test instance in each class * @return an array of measurements monitored in this evaluator */ public void addResult(E example, double[] classVotes); /** * Gets the current measurements monitored by this evaluator. * * @return an array of measurements monitored by this evaluator */ public Measurement[] getPerformanceMeasurements(); }