edu.udo.cs.miningmart.compiler.wrapper
Class DB_SVM_RG

java.lang.Object
  edu.udo.cs.miningmart.compiler.wrapper.SVM_Wrapper
      edu.udo.cs.miningmart.compiler.wrapper.DB_SVM
          edu.udo.cs.miningmart.compiler.wrapper.DB_SVM_RG

public class DB_SVM_RG

extends DB_SVM

This class is the wrapper for a regression SVM running inside the database.

Version:

$Id: DB_SVM_RG.java,v 1.4 2006/04/11 14:10:17 euler Exp $

Author:

Timm Euler

Field Summary

Fields inherited from class edu.udo.cs.miningmart.compiler.wrapper.SVM_Wrapper

b, DEFAULTSAMPLESIZE, forClassification, inputTableName, lossNeg, lossPos, myStepId, noSV, SAMPLE_TABLE_PREFIX, sampleSize, schema, targetColSQLDefinition, targetPositive, TEMP_TABLE_PREFIX, theColumnInfos, useOracle, usePostgres, xiAlphaEstimation

Constructor Summary

DB_SVM_RG(CompilerDatabaseService databaseObj, Print printObj, java.lang.String nameForDatabaseUse, java.lang.String nameOfDatabaseSchema, long stepId, java.lang.String keyCol, long sampleSize, java.lang.String lossFunctionPos, java.lang.String lossFunctionNeg)
Use this constructor if sampling on input data is needed.

DB_SVM_RG(CompilerDatabaseService databaseObj, Print printObj, java.lang.String nameForDatabaseUse, java.lang.String nameOfDatabaseSchema, long stepId, java.lang.String keyCol, java.lang.String lossFunctionPos, java.lang.String lossFunctionNeg)
Use this constructor if no sampling on input data is needed.

Method Summary

protected void

extractXiAlpha() No XiAlpha estimation is possible for regression.

Methods inherited from class edu.udo.cs.miningmart.compiler.wrapper.DB_SVM

callSVM, checkColSetType, checkKernel, extractNumberSV, getColNamesInput, getModelTablePlusCondition

Methods inherited from class edu.udo.cs.miningmart.compiler.wrapper.SVM_Wrapper

checkDouble, checkForConversion, createBody, createDecisionFunctionAsSQL_Function, createDecisionFunctionTemplate, createDeclaration, getCompleteSelectString, getDatabaseObj, getDBMS_Datatype, getDecisionFunctionName, getDecisionFunctionNameWithArgumentTypes, getDecisionFunctionNameWithSchema, getInputViewName, getKernelParams, getLogTableName, getModelTableName, getNumberOfSupportVectors, getOutputViewName, getParTableName, getPositiveTargetValue, getPrint, getSampleRatio, getXiAlphaEstimation, insertFunctionIntoDB, replace, setPositiveTargetValue

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

DB_SVM_RG

public DB_SVM_RG(CompilerDatabaseService databaseObj,
                 Print printObj,
                 java.lang.String nameForDatabaseUse,
                 java.lang.String nameOfDatabaseSchema,
                 long stepId,
                 java.lang.String keyCol,
                 java.lang.String lossFunctionPos,
                 java.lang.String lossFunctionNeg)
          throws M4CompilerError

Use this constructor if no sampling on input data is needed.

Parameters:

databaseObj - the DB object to be used for database connections

printObj - the Print object to be used for log messages

nameForDatabaseUse - Prefix for all functions, view and tables that this wrapper creates in the database

nameOfDatabaseSchema - Name of the database schema that holds the business views and tables

stepId - Id of the step

keyCol - name of the column that is a key to the input table

lossFunctionPos - The positive loss function value for the support vector machine

lossFunctionNeg - The negative loss function value for the support vector machine

Throws:

M4CompilerError - A simple exception object with an error message.

DB_SVM_RG

public DB_SVM_RG(CompilerDatabaseService databaseObj,
                 Print printObj,
                 java.lang.String nameForDatabaseUse,
                 java.lang.String nameOfDatabaseSchema,
                 long stepId,
                 java.lang.String keyCol,
                 long sampleSize,
                 java.lang.String lossFunctionPos,
                 java.lang.String lossFunctionNeg)
          throws M4CompilerError

Use this constructor if sampling on input data is needed.

Parameters:

databaseObj - the DB object to be used for database connections

printObj - the Print object to be used for log messages

nameForDatabaseUse - Prefix for all functions, view and tables that this wrapper creates in the database

nameOfDatabaseSchema - Name of the database schema that holds the business views and tables

stepId - Id of the step

keyCol - name of the column that is a key to the input table

sampleSize - maximum number of rows to be used to train the SVM

lossFunctionPos - The positive loss function value for the support vector machine

lossFunctionNeg - The negative loss function value for the support vector machine

Throws:

M4CompilerError - A simple exception object with an error message.

Method Detail

extractXiAlpha

protected void extractXiAlpha()
                       throws M4CompilerError

No XiAlpha estimation is possible for regression. So this method throws an exception.

Specified by:

extractXiAlpha in class SVM_Wrapper

Throws:

M4CompilerError

See Also:

edu.udo.cs.miningmart.operator.SVM_Wrapper#extractXiAlpha