org.knime.base.node.mine.regression.pmmlgreg
Class PMMLGeneralRegressionContent

java.lang.Object
  org.knime.base.node.mine.regression.pmmlgreg.PMMLGeneralRegressionContent

public final class PMMLGeneralRegressionContent
extends Object

Author:

Heiko Hofer

Nested Class Summary

static class	PMMLGeneralRegressionContent.FunctionName The function name.
static class	PMMLGeneralRegressionContent.ModelType The Type of regression.

Constructor Summary

PMMLGeneralRegressionContent()
Empty Contstuctor used when reading xml file.

PMMLGeneralRegressionContent(PMMLGeneralRegressionContent.ModelType modelType, String modelName, PMMLGeneralRegressionContent.FunctionName functionName, String algorithmName, PMMLParameter[] parameterList, PMMLPredictor[] factorList, PMMLPredictor[] covariateList, PMMLPPCell[] ppMatrix, PMMLPCovCell[] pCovMatrix, PMMLPCell[] paramMatrix)

Method Summary

String	getAlgorithmName()
PMMLPredictor[]	getCovariateList()
PMMLPredictor[]	getFactorList()
PMMLGeneralRegressionContent.FunctionName	getFunctionName()
String	getModelName()
PMMLGeneralRegressionContent.ModelType	getModelType()
PMMLParameter[]	getParameterList()
PMMLPCell[]	getParamMatrix()
PMMLPCovCell[]	getPCovMatrix()
PMMLPPCell[]	getPPMatrix()
(package private) void	setAlgorithmName(String algorithmName)
(package private) void	setCovariateList(PMMLPredictor[] covariateList)
(package private) void	setFactorList(PMMLPredictor[] factorList)
(package private) void	setFunctionName(PMMLGeneralRegressionContent.FunctionName functionName)
(package private) void	setModelName(String modelName)
(package private) void	setModelType(PMMLGeneralRegressionContent.ModelType modelType)
(package private) void	setParameterList(PMMLParameter[] parameterList)
(package private) void	setParamMatrix(PMMLPCell[] paramMatrix)
(package private) void	setPCovMatrix(PMMLPCovCell[] covMatrix)
(package private) void	setPPMatrix(PMMLPPCell[] ppMatrix)

Methods inherited from class java.lang.Object

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

Constructor Detail

PMMLGeneralRegressionContent

PMMLGeneralRegressionContent()

Empty Contstuctor used when reading xml file.

PMMLGeneralRegressionContent

public PMMLGeneralRegressionContent(PMMLGeneralRegressionContent.ModelType modelType,
                                    String modelName,
                                    PMMLGeneralRegressionContent.FunctionName functionName,
                                    String algorithmName,
                                    PMMLParameter[] parameterList,
                                    PMMLPredictor[] factorList,
                                    PMMLPredictor[] covariateList,
                                    PMMLPPCell[] ppMatrix,
                                    PMMLPCovCell[] pCovMatrix,
                                    PMMLPCell[] paramMatrix)

Parameters:

modelType - the type of the regression model

modelName - the name of the model

functionName - either regression of classification

algorithmName - the name of the algorithm

parameterList - the list of parameters

factorList - the list of factor names

covariateList - the list of covariate names

ppMatrix - Predictor-to-Parameter correlation matrix

pCovMatrix - matrix of parameter estimate covariates

paramMatrix - parameter matrix

Method Detail

getModelType

public PMMLGeneralRegressionContent.ModelType getModelType()

Returns:

the modelType

getModelName

public String getModelName()

Returns:

the modelName

getFunctionName

public PMMLGeneralRegressionContent.FunctionName getFunctionName()

Returns:

the functionName

getAlgorithmName

public String getAlgorithmName()

Returns:

the algorithmName

getParameterList

public PMMLParameter[] getParameterList()

Returns:

the parameterList

getFactorList

public PMMLPredictor[] getFactorList()

Returns:

the factorList

getCovariateList

public PMMLPredictor[] getCovariateList()

Returns:

the covariateList

getPPMatrix

public PMMLPPCell[] getPPMatrix()

Returns:

the ppMatrix

getPCovMatrix

public PMMLPCovCell[] getPCovMatrix()

Returns:

the pCovMatrix

getParamMatrix

public PMMLPCell[] getParamMatrix()

Returns:

the paramMatrix

setPPMatrix

void setPPMatrix(PMMLPPCell[] ppMatrix)

Parameters:

ppMatrix - the ppMatrix to set

setModelType

void setModelType(PMMLGeneralRegressionContent.ModelType modelType)

Parameters:

modelType - the modelType to set

setModelName

void setModelName(String modelName)

Parameters:

modelName - the modelName to set

setFunctionName

void setFunctionName(PMMLGeneralRegressionContent.FunctionName functionName)

Parameters:

functionName - the functionName to set

setAlgorithmName

void setAlgorithmName(String algorithmName)

Parameters:

algorithmName - the algorithmName to set

setParameterList

void setParameterList(PMMLParameter[] parameterList)

Parameters:

parameterList - the parameterList to set

setFactorList

void setFactorList(PMMLPredictor[] factorList)

Parameters:

factorList - the factorList to set

setCovariateList

void setCovariateList(PMMLPredictor[] covariateList)

Parameters:

covariateList - the covariateList to set

setPCovMatrix

void setPCovMatrix(PMMLPCovCell[] covMatrix)

Parameters:

covMatrix - the pCovMatrix to set

setParamMatrix

void setParamMatrix(PMMLPCell[] paramMatrix)

Parameters:

paramMatrix - the paramMatrix to set