/*
* Encog(tm) Core v3.4 - Java Version
* http://www.heatonresearch.com/encog/
* https://github.com/encog/encog-java-core
* Copyright 2008-2016 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;
/**
* Defines a Machine Learning Method that can be encoded to a double array.
* This is very useful for certain training, such as genetic algorithms
* and simulated annealing.
*
*/
public interface MLEncodable extends MLMethod {
/**
* @return The length of an encoded array.
*/
int encodedArrayLength();
/**
* Encode the object to the specified array.
* @param encoded The array.
*/
void encodeToArray(double[] encoded);
/**
* Decode an array to this object.
* @param encoded The encoded array.
*/
void decodeFromArray(double[] encoded);
}