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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.samoa.moa.evaluation;
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();
}