LassoRegressionStartup Members
These members are related to Lasso Regression Startup dialog.
Name | Description |
---|---|
AlphaValue | Alpha value for ridge, lasso or elastic net. Return/assignment value: Double. |
Application | Returns application object. Return value: Object. This property is read only. |
ConvergenceThreshold | Convergence threshold for coordinate descent. Return/assignment value: Double. |
CovarianceUpdateMethod | Lasso estimation method where the complexity of coordinate descent stepwise update is proportional to the number of non-zero terms in the model. Return/assignment value: Integer. |
GammaValue | Gamma value for group lasso. Return/assignment value: Double. |
GroupedErrors | Use grouped cross-validation errors. Return/assignment value: Integer. |
IncludeIntercept | Include intercept in model. Return/assignment value: Integer. |
IsSeedRandomNumber | Use a seed for random number generator. Return/assignment value: Integer. |
LambdaRatio | Step size for lambda estimation in coordinate descent. Return/assignment value: Double. |
LassoAlgorithm | Lasso algorithm. Return/assignment value: LassoAlgorithm. |
MaxNoOfVariablesInLargestModel | Maximum number of variables allowed to enter largest model. Return/assignment value: Integer. |
ModifiedNewtonsMethod | Lasso estimation method. This method uses a bounded hessian. This method can be more efficient. Return/assignment value: Integer. |
MomentumResetIterations | Number of iterations before momentum term is reset for group lasso. Return/assignment value: Integer. |
NaiveMethod | Lasso estimation method where the complexity of coordinate descent stepwise update is proportional to the number of predictor variables. Return/assignment value: Integer. |
Name | Return value: String. This property is read only. |
NewtonsMethod | Lasso estimation method (this method uses the exact hessian). Return/assignment value: Integer. |
NumberOfIterations | Maximum number of pass through data. Return/assignment value: Integer. |
NumberOfLambdas | Number of lambdas used in coordinate descent. Return/assignment value: Integer. |
Parent | Returns the parent of the object. Return value: Object. This property is read only. |
ResponseCodes | Codes identifying group (class) membership for dependent variable (response variable). Return/assignment value: String. |
ResultsCodes | Assignment value: Variant. |
ResultsOption | Assignment value: Integer. |
ResultsOutputFields | Assignment value: Variant. |
ResultsSaveFileName | Assignment value: String. |
ResultsSelection | Assignment value: Variant. |
ResultsSelectionOption | Assignment value: Variant. |
ResultsValues | Assignment value: Variant. |
ResultsVariables | Assignment value: Variant. |
SeedForVFoldCrossValidation | Seed for V-fold cross-validation. Return/assignment value: Integer. |
StepSize | Step size value for group lasso. Return/assignment value: Double. |
UseAUCLossFunction | Loss function for v-fold cross-validation. Return/assignment value: Integer. |
UseClassLossFunction | Loss function for v-fold cross-validation. Return/assignment value: Integer. |
UseGroupLassoPenalty | Use Group Lasso penalty. Return/assignment value: Integer. |
UseMAELossFunction | Mean absolute error loss function for v-fold cross-validation. Return/assignment value: Integer. |
UseMSELossFunction | Mean squared error loss function for v-fold cross-validation. Return/assignment value: Integer. |
UseVFoldCrossValidation | Use V-fold cross-validation. Return/assignment value: Integer. |
UserDefinedGroups | User defined groups for group lasso. Return/assignment value: String. |
UserDefinedPenalties | User defined penalties. Return/assignment value: String. |
VValueForVFoldCrossValidation | V-value for V-fold cross-validation. Return/assignment value: Integer. |
Variables | Variables for analysis. Return/assignment value: String. |
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