blob: 7a0a8af33f5b709f37503910ab19194691fdc18b [file] [log] [blame]
package org.apache.samoa.moa.evaluation;
/*
* #%L
* SAMOA
* %%
* Copyright (C) 2014 - 2015 Apache Software Foundation
* %%
* 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 org.apache.samoa.moa.MOAObject;
import org.apache.samoa.moa.core.Example;
import org.apache.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();
}