// LogParameterizedTree.java
//
// (c) 1999-2001 PAL Development Core Team
//
// This package may be distributed under the
// terms of the Lesser GNU General Public License (LGPL)


package pal.tree;

import pal.misc.*;


/**
 * This class logarithmically transforms tree parameters.
 * Hopefully this makes the function look more like a quadratic
 * for the optimizer!
 *
 * @version $Id: LogParameterizedTree.java,v 1.9 2003/06/04 03:17:52 matt Exp $
 *
 * @author Alexei Drummond
 */
public class LogParameterizedTree
	extends ParameterizedTree.ParameterizedTreeBase  implements ParameterizedTree
{
	//
	// Public stuff
	//

	ParameterizedTree params;

	private double[] logMins;
	private double[] logMaxs;
	private double[] logDefaults;


	/**
	 * Takes a parameterized object and transforms
	 * the parameters logarithmically.
	 */
	public LogParameterizedTree(ParameterizedTree params)
	{
		setBaseTree(params);

		this.params = params;


		logMins = new double[params.getNumParameters()];
		logMaxs = new double[params.getNumParameters()];
		logDefaults = new double[params.getNumParameters()];

		for (int i = 0; i < logMins.length; i++) {
			logMins[i] = Math.log(params.getLowerLimit(i));
			logMaxs[i] = Math.log(params.getUpperLimit(i));
			logDefaults[i] = Math.log(params.getDefaultValue(i));
		}
	}

		// interface Parameterized

	public int getNumParameters()
	{
		return params.getNumParameters();
	}

	public void setParameter(double logParam, int n)
	{
		// - logMins scales the value to lower bound of 0
		double realParam = Math.exp(logParam + logMins[n]);

		params.setParameter(realParam, n);
	}

	public double getParameter(int n)
	{
		return Math.log(params.getParameter(n)) - logMins[n];
	}

	public void setParameterSE(double paramSE, int n)
	{
		return; // DEBUG - not yet done
	}

	public double getLowerLimit(int n)
	{
		return 0;
	}

	public double getUpperLimit(int n)
	{
		return logMaxs[n] - logMins[n];
	}

	public double getDefaultValue(int n)
	{
		return logDefaults[n] - logMins[n];
	}
	public String getParameterizationInfo() {
		return params.getParameterizationInfo()+" (using log scaling)";
	}
}
