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();

}