VHDClassification-package |
Discrimination-Classification in very high dimension with linear and quadratic rules. |
.EvaluateLogLikeRatio,numeric,LinearRule-method |
~~ Methods for Function .EvaluateLogLikeRatio ~~ |
.EvaluateLogLikeRatio,numeric,QuadraticRule-method |
~~ Methods for Function .EvaluateLogLikeRatio ~~ |
.EvaluateLogLikeRatio-methods |
~~ Methods for Function .EvaluateLogLikeRatio ~~ |
getBinaryRule |
Getter set of binary rules (object PartitionWithLLR) |
getBinaryRule,PartitionWithLLR-method |
~~ Methods for Function getBinaryRule ~~ |
getBinaryRule-methods |
~~ Methods for Function getBinaryRule ~~ |
getLogLikeRatio |
Get the log-likelihood ratio from a binary rule (QuadraticRule or LinearRule) |
getLogLikeRatio,LinearRule-method |
~~ Methods for Function getLogLikeRatio ~~ |
getLogLikeRatio,QuadraticRule-method |
~~ Methods for Function getLogLikeRatio ~~ |
getLogLikeRatio-methods |
~~ Methods for Function getLogLikeRatio ~~ |
learnBinaryRule |
Function to learn a binary classification rule |
learnPartitionWithLLR |
A function to learn a rule in case of 2 classes or more |
LinearRule-class |
Class "LinearRule" ~~~ |
PartitionWithLLR-class |
Class "PartitionWithLLR" ~~~ |
plotClassifRule |
A
plot function for classification rules (binary or not, quadratic or linear) |
plotClassifRule,LinearRule-method |
Class "LinearRule" ~~~ |
plotClassifRule,PartitionWithLLR-method |
Class "PartitionWithLLR" ~~~ |
plotClassifRule,QuadraticRule-method |
Class "QuadraticRule" ~~~ |
predict,LinearRule-method |
Class "LinearRule" ~~~ |
predict,PartitionWithLLR-method |
Class "PartitionWithLLR" ~~~ |
predict,QuadraticRule-method |
Class "QuadraticRule" ~~~ |
predict-methods |
Discrimination-Classification in very high dimension with linear and quadratic rules. |
QuadraticRule-class |
Class "QuadraticRule" ~~~ |
show,LinearRule-method |
Class "LinearRule" ~~~ |
show,PartitionWithLLR-method |
Class "PartitionWithLLR" ~~~ |
show,QuadraticRule-method |
Class "QuadraticRule" ~~~ |
VHDClassification |
Discrimination-Classification in very high dimension with linear and quadratic rules. |