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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;

/**
 * Defines a Machine Learning Method that can be reset to an untrained 
 * starting point.  Most weight based machine learning methods, such
 * as neural networks support this.  Support vector machines do not.
 */
public interface MLResettable extends MLMethod {
	
	/**
	 * Reset the weights.
	 */
	void reset();
	
	/**
	 * Reset the weights with a seed.
	 * @param seed The seed value.
	 */
	void reset(int seed);
}