Methods overview for Regression settings

Table 1. Methods for type DM_RegSettings: Specifying general Regression settings
Method Purpose SQL/MM method
DM_expRegSettings method Exports the current DM_RegSettings object into a CLOB Y
DM_getAlgorithm method Returns the name of the mining algorithm to be used for the training run N
DM_getAlgoParams method Returns the manually defined algorithm-specific parameters that are included in the mining settings N
DM_impRegSettings method Imports a CLOB representing a DM_RegSettings object Y
DM_useRegDataSpec method Specifies a DM_LogicalDataSpec value for a DM_RegSettings value Y
DM_getRegDataSpec method Returns the DM_LogicalDataSpec value defined for a value of DM_RegSettings Y
DM_setAlgorithm method Sets the name of the mining algorithm to be used for the mining run N
DM_setRegRSquared method Sets the maximum tolerated squared Pearson correlation coefficient Y
DM_getRegRSquared method Returns the maximum tolerated squared Pearson correlation coefficient Y