📄 sparsegrid.java
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/*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 2 of the License, or
* (at your option) any later version.
*
* This program is distributed in 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 General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
*/
/**
* Title: XELOPES Data Mining Library
* Description: The XELOPES library is an open platform-independent and data-source-independent library for Embedded Data Mining.
* Copyright: Copyright (c) 2002 Prudential Systems Software GmbH
* Company: ZSoft (www.zsoft.ru), Prudsys (www.prudsys.com)
* @author Michael Thess
* @author Valentine Stepanenko (valentine.stepanenko@zsoft.ru)
* @version 1.0
*/
package com.prudsys.pdm.Models.Regression.SparseGrids;
import java.util.StringTokenizer;
import com.prudsys.pdm.Adapters.PmmlVersion20.SparseGridCoefficients;
import com.prudsys.pdm.Core.MiningException;
import com.prudsys.pdm.Core.PmmlPresentable;
/**
* Represents one Grid of Sparse Grids
* mining function. <p>
*
* From PDM CWM extension. <p>
*
* Attributes:
* <ul>
* <li> <i>gridName/i>: Name of the sparse grid. Currently,
* there is no standard for chosing the name. <br>
* - type: String <br>
* - multiplicity: exactly one
* <li> <i>numberOfAttributes</i>: Defines the number of attributes
* of the Sparse Grid model. <br>
* - type: Integer <br>
* - multiplicity: exactly one
* <li> <i>sparseGridHeader</i>: Definition of the levels per
* dimension. Usually a string of the form "3_5_3_9_3". <br>
* - type: String <br>
* - multiplicity: exactly one
* <li> <i>sparseGridCoefficients</i>: Coefficients of the basis
* function defined on this grid. <br>
* - type: Float[] <br>
* - multiplicity: one or more
* </ul>
*
* In addition, functionality from extended PMML was added.
* It corresponds to the PMML element SparseGrid.
*
* @see SparseGridMiningModel
* @see com.prudsys.pdm.Adapters.PmmlVersion20.SparseGrid
*/
public class SparseGrid extends com.prudsys.pdm.Cwm.Core.Class implements PmmlPresentable
{
// -----------------------------------------------------------------------
// Variables declarations
// -----------------------------------------------------------------------
/** Identifier of Sparse Grid. */
private String gridName;
/** Number of attributes. */
private int numberOfAttributes;
/** Header of SG specifying the grid structure. */
private String sparseGridHeader;
/** Coefficients of SG. */
private double[] sparseGridCoefficients;
// -----------------------------------------------------------------------
// Constructor
// -----------------------------------------------------------------------
/**
* Empty constructor.
*/
public SparseGrid()
{
}
// -----------------------------------------------------------------------
// Getter and setter methods
// -----------------------------------------------------------------------
/**
* Returns grid name.
*
* @return grid name
*/
public String getGridName()
{
return gridName;
}
/**
* Sets grid name.
*
* @param gridName new grid name
*/
public void setGridName(String gridName)
{
this.gridName = gridName;
}
/**
* Sets number of attributes.
*
* @param numberOfAttributes new number of attributes
*/
public void setNumberOfAttributes(int numberOfAttributes)
{
this.numberOfAttributes = numberOfAttributes;
}
/**
* Returns number of attributes.
*
* @return number of attributes
*/
public int getNumberOfAttributes()
{
return numberOfAttributes;
}
/**
* Sets grid header.
*
* @param sparseGridHeader new grid header
*/
public void setSparseGridHeader(String sparseGridHeader)
{
this.sparseGridHeader = sparseGridHeader;
}
/**
* Returns grid header.
*
* @return grid header
*/
public String getSparseGridHeader()
{
return sparseGridHeader;
}
/**
* Sets array of grid coefficients.
*
* @param sparseGridCoefficients new array of grid coefficients
*/
public void setSparseGridCoefficients(double[] sparseGridCoefficients)
{
this.sparseGridCoefficients = sparseGridCoefficients;
}
/**
* Returns array of sparse grid coefficients.
*
* @return array of coefficients
*/
public double[] getSparseGridCoefficients()
{
return sparseGridCoefficients;
}
// -----------------------------------------------------------------------
// Methods of PMML handling
// -----------------------------------------------------------------------
/**
* Write grid to PMML element.
*
* @return PMML element of "sparse" grid
* @exception MiningException
*/
public Object createPmmlObject() throws MiningException
{
// Create grid:
com.prudsys.pdm.Adapters.PmmlVersion20.SparseGrid grid =
new com.prudsys.pdm.Adapters.PmmlVersion20.SparseGrid();
// Set grid name:
grid.setGridName( gridName );
// Create header object:
com.prudsys.pdm.Adapters.PmmlVersion20.SparseGridHeader gridHeader =
new com.prudsys.pdm.Adapters.PmmlVersion20.SparseGridHeader();
// Set number of attributes and header info:
gridHeader.setNumberOfAttributes( String.valueOf( numberOfAttributes ) );
gridHeader.setText( sparseGridHeader );
// Add header to grid:
grid.setSparseGridHeader( gridHeader );
// Create coefficients object:
com.prudsys.pdm.Adapters.PmmlVersion20.SparseGridCoefficients gridCoef =
new com.prudsys.pdm.Adapters.PmmlVersion20.SparseGridCoefficients();
gridCoef.setNumberOfCoefficients(
String.valueOf(sparseGridCoefficients.length) );
String sCoeff = "";
for (int i = 0; i < sparseGridCoefficients.length; i++) {
sCoeff = sCoeff + String.valueOf(sparseGridCoefficients[i]);
if ( i < sparseGridCoefficients.length - 1)
sCoeff = sCoeff + " ";
};
gridCoef.setText( sCoeff );
grid.setSparseGridCoefficients( gridCoef );
return grid;
}
/**
* Read grid from PMML element.
*
* @param pmmlObject PMML element to read in
* @exception MiningException always thrown
*/
public void parsePmmlObject( Object pmmlObject ) throws MiningException
{
// Get grid:
com.prudsys.pdm.Adapters.PmmlVersion20.SparseGrid grid =
(com.prudsys.pdm.Adapters.PmmlVersion20.SparseGrid) pmmlObject;
// Get grid name:
gridName = grid.getGridName();
// Get grid header:
com.prudsys.pdm.Adapters.PmmlVersion20.SparseGridHeader gridHeader =
grid.getSparseGridHeader();
// Get number of attributes and header info:
numberOfAttributes = Integer.parseInt( gridHeader.getNumberOfAttributes() );
sparseGridHeader = gridHeader.getText();
// Get coefficients:
SparseGridCoefficients coeff = grid.getSparseGridCoefficients();
int nCoeff = Integer.parseInt( coeff.getNumberOfCoefficients() );
sparseGridCoefficients = new double[ nCoeff ];
StringTokenizer stg = new StringTokenizer( coeff.getText() );
int iCount = 0;
while (stg.hasMoreTokens()) {
sparseGridCoefficients[iCount] = Double.parseDouble(stg.nextToken());
iCount = iCount + 1;
};
}
// -----------------------------------------------------------------------
// Other export methods
// -----------------------------------------------------------------------
/**
* Returns sparse grid as string.
*
* @return string representation of sparse grid
*/
public String toString() {
String str = "Grid name: " + gridName;
str = str + " numberOfAttributes: " + String.valueOf(numberOfAttributes);
str = str + " sparseGridHeader: " + sparseGridHeader;
str = str + " sparseGridCoefficients: ";
for (int i = 0; i < sparseGridCoefficients.length; i++)
str = str + String.valueOf( sparseGridCoefficients[i] + " " );
return str;
}
}
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