📄 miningarraystream.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 Valentine Stepanenko (valentine.stepanenko@zsoft.ru)
* @version 1.0
*/
package com.prudsys.pdm.Input;
import org.omg.cwm.analysis.transformation.ClassifierMap;
import org.omg.cwm.analysis.transformation.FeatureMap;
import org.omg.cwm.analysis.transformation.TransformationMap;
import org.omg.cwm.analysis.transformation.TransformationPackage;
import com.prudsys.pdm.Core.CategoricalAttribute;
import com.prudsys.pdm.Core.Category;
import com.prudsys.pdm.Core.MiningAttribute;
import com.prudsys.pdm.Core.MiningDataSpecification;
import com.prudsys.pdm.Core.MiningException;
import com.prudsys.pdm.Core.NumericAttribute;
import eti.bi.util.ValueValidator;
/**
* Extension of MiningInputStreams for arrays. Can only be
* used for data arrays that fit completely into memory. <p>
*
* Two basic array types are supported: an array of double
* values (for categorical attributes these are the keys) and
* an array of objects (for numeric attributes the double
* values are wrapped as Double).
*/
public class MiningArrayStream extends MiningInputStream
{
// -----------------------------------------------------------------------
// Variables declarations
// -----------------------------------------------------------------------
/** Array of doubles that could be used for fast access. */
protected double[][] miningArray = null;
/** Array of mining objects for fast access. */
protected Object[][] miningObjectArray = null;
/** Use array of objects (miningObjectArray) instead of array of doubles (miningArray). */
protected boolean useObjectArray = false;
/** Length of mining array **/
protected int miningArrayLength = -1;
// -----------------------------------------------------------------------
// Constructors
// -----------------------------------------------------------------------
/**
* Constructs mining array stream from array of doubles.
* All attributes are treated as numeric and the meta data
* is constructed automatically.
*
* @param miningArray array of double values
* @exception MiningException could not create array stream
*/
public MiningArrayStream( double[][] miningArray ) throws MiningException
{
this.useObjectArray = false;
this.miningArray = miningArray;
// Create meta data:
this.metaData = new MiningDataSpecification();
this.metaData.setRelationName("Created for MiningArrayStream at: " + new java.util.Date());
int numbAtt = miningArray[0].length;
for (int i = 0; i < numbAtt; i++)
metaData.addMiningAttribute( new NumericAttribute("numAtt"+String.valueOf(i)) );
miningArrayLength = getMiningArrayLength();
cursorPosition = -1;
}
/**
* Constructs mining array stream from array of doubles whose meta data
* is specified in metaData. In case of categorical attributes, the
* double values are the keys.
*
* @param miningArray array of double values
* @param metaData meta data of attributes
* @exception MiningException could not create array stream
*/
public MiningArrayStream( double[][] miningArray, MiningDataSpecification metaData ) throws MiningException
{
this.useObjectArray = false;
this.miningArray = miningArray;
this.metaData = metaData;
miningArrayLength = getMiningArrayLength();
cursorPosition = -1;
}
/**
* Constructs mining array stream from array of objects whose meta data
* is specified in metaData. For numeric attributes, the objects are
* Doubles wrappers. In case of categorical attributes, the
* objects are of the type Category.
*
* @param miningObjectArray array of objects
* @param metaData meta data of attributes
* @exception MiningException could not create array stream
*/
public MiningArrayStream( Object[][] miningObjectArray, MiningDataSpecification metaData ) throws MiningException
{
this.useObjectArray = true;
this.miningObjectArray = miningObjectArray;
this.metaData = metaData;
miningArrayLength = getMiningArrayLength();
cursorPosition = -1;
}
/**
* Creates a mining array from any mining input stream.
* Requires two passes through the data: one to determine the number
* of rows of the input stream and one to copy the data to the
* mining array.
*
* @param inputStream mining input stream to read in
* @exception IllegalArgumentException empty input stream
* @exception MiningException could not create array stream
*/
public MiningArrayStream( MiningInputStream inputStream ) throws IllegalArgumentException, MiningException
{
this.useObjectArray = false;
this.metaData = inputStream.getMetaData();
// No input stream => exception:
if( inputStream == null )
{
throw new IllegalArgumentException( "MiningInputStream can't be null." );
};
// Determine length of input stream and allocate array:
inputStream.reset();
miningArrayLength = 0;
while( inputStream.next() )
{
miningArrayLength = miningArrayLength + 1;
};
miningArray = new double[ miningArrayLength] [ metaData.getAttributesNumber() ];
// Copy data to mining array:
int iRow = 0;
inputStream.reset();
while (inputStream.next()) {
MiningVector vec = inputStream.read();
for (int i = 0; i < metaData.getAttributesNumber(); i++)
miningArray[iRow][i] = vec.getValue(i);
iRow = iRow + 1;
};
cursorPosition = -1;
}
/**
* Returns length of mining array. If useObjectArray is true,
* the miningObjectArray is used, else miningArray.
*
* @return length of mining array, -1 if array is null
*/
private int getMiningArrayLength() {
if (useObjectArray) {
if (miningObjectArray == null)
return -1;
else
return miningObjectArray.length;
}
else {
if (miningArray == null)
return -1;
else
return miningArray.length;
}
}
// -----------------------------------------------------------------------
// Getter and setter methods
// -----------------------------------------------------------------------
/**
* Returns supported stream methods.
*
* @return supported stream methods
*/
public java.util.Enumeration getSupportedStreamMethods() {
java.util.Vector suppmeth = new java.util.Vector();
suppmeth.addElement("reset");
suppmeth.addElement("move");
return suppmeth.elements();
}
/**
* Finds physical array model (CWM Resource Package "Object").
* This is just the meta data wrapped in a Package.
*
* @exception MiningException couldn't obtain physical model
*/
public void findPhysicalModel() throws MiningException {
org.omg.cwm.objectmodel.core.CorePackage cp = com.prudsys.pdm.Cwm.CWMCompletePackage.getCWMCompletePackage().getCore();
org.omg.cwm.objectmodel.core.Package dataPackage = cp.getPackage().createPackage("StoredData package", null);
dataPackage.addOwnedElement(metaData);
physicalModel = dataPackage;
}
/**
* Returns the CWM mapping from the physical to the logical data model.
* This is the identical transformation.
*
* @return transformation of physical to logical data model
* @throws MiningException couldn't get transformation
*/
public org.omg.cwm.analysis.transformation.TransformationMap getPhysicalToLogicalModelTransformation()
throws MiningException {
com.prudsys.pdm.Cwm.CWMCompletePackage cwmFactory =
com.prudsys.pdm.Cwm.CWMCompletePackage.getCWMCompletePackage();
TransformationPackage tpg = cwmFactory.getTransformation();
TransformationMap tm = tpg.getTransformationMap().createTransformationMap();
ClassifierMap cm = tpg.getClassifierMap().createClassifierMap();
tm.addOwnedElement(cm);
for (int i = 0; i < metaData.getAttributesNumber(); i++) {
FeatureMap fm = tpg.getFeatureMap().createFeatureMap();
fm.addSource( metaData.getMiningAttribute(i) );
fm.addTarget( metaData.getMiningAttribute(i) );
cm.addFeatureMap(fm);
};
metaData.addOwnedElement(tm);
physicalModel.addOwnedElement(tm);
return tm;
}
/**
* Returns number of vectors of mining array.
*
* @return number of vectors
*/
public int getVectorsNumber() {
return miningArrayLength;
}
// -----------------------------------------------------------------------
// General stream methods
// -----------------------------------------------------------------------
/**
* Opens mining array stream. This method can be left out because
* does nothing.
*
* @exception MiningException if a mining source access error occurs
*/
public void open() throws MiningException
{
}
/**
* Closes mining array stream. This method can be left out because
* does nothing.
*
* @exception MiningException if a mining source access error occurs
*/
public void close() throws MiningException
{
}
/**
* Recognizes meta data of array.
*
* @return meta data of array
* @throws MiningException could not recognize meta data
*/
public MiningDataSpecification recognize() throws MiningException
{
return metaData;
}
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