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Encog Machine Learning Framework.
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/*
* Encog(tm) Core v3.4 - Java Version
* http://www.heatonresearch.com/encog/
* https://github.com/encog/encog-java-core
* Copyright 2008-2017 Heaton Research, Inc.
*
* 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.
*
* For more information on Heaton Research copyrights, licenses
* and trademarks visit:
* http://www.heatonresearch.com/copyright
*/
package org.encog.ml;
import org.encog.ml.data.MLData;
/**
* This interface defines a MLMethod that is used for classification.
* Classification defines the output to be a class. A MLMethod that uses
* classification is attempting to use the input to place items into
* classes. It is assumed that an item will only be in one single class.
* If an item can be in multiple classes, one option is to create additional
* classes that represent the compound classes.
*
*/
public interface MLClassification extends MLInputOutput {
/**
* Classify the input into a group.
* @param input The input data to classify.
* @return The group that the data was classified into.
*/
int classify(MLData input);
}
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