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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;

/**
 * Defines a Machine Learning Method that supports regression.  Regression 
 * takes an input and produces numeric output.  Function approximation 
 * uses regression.  Contrast this to classification, which uses the input 
 * to assign a class.
 *
 */
public interface MLRegression extends MLInputOutput {
	
	/**
	 * Compute regression.
	 * @param input The input data.
	 * @return The output data.
	 */
	MLData compute(MLData input);
}