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/*
 * This file is part of the repicea library.
 *
 * Copyright (C) 2009-2022 Mathieu Fortin for Rouge-Epicea
 *
 * This library is free software; you can redistribute it and/or
 * modify it under the terms of the GNU Lesser General Public
 * License as published by the Free Software Foundation; either
 * version 3 of the License, or (at your option) any later version.
 *
 * This library is distributed with the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied
 * warranty of MERCHANTABILITY or FITNESS FOR A
 * PARTICULAR PURPOSE. See the GNU Lesser General Public
 * License for more details.
 *
 * Please see the license at http://www.gnu.org/copyleft/lesser.html.
 */
package repicea.stats.model;

import repicea.math.Matrix;

/**
 * This interface ensures the model can provide its predicted values and its residuals
 * @author Mathieu Fortin - 2022
 */
public interface PredictableModel {

	
	/**
	 * Produce a column vector of predicted values.

* These values are calculated from the sample. * @return a Matrix instance * @throws UnsupportedOperationException if the estimator has not converged */ public default Matrix getPredicted() throws UnsupportedOperationException { return getPredicted(null); } /** * Produce a column vector of predicted values.

* These values are calculated using the xMatrix argument. * If this argument is null, then the predictions are calculated from * the sample. * @param xMatrix a design matrix * @return a Matrix instance * @throws UnsupportedOperationException if the estimator has not converged */ public Matrix getPredicted(Matrix xMatrix) throws UnsupportedOperationException; /** * Return a column vector of residuals, that is observed values minus predictions. * @return a Matrix instance */ public Matrix getResiduals(); }





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