learnPartitionWithLLR


see <code><a rd-options="" href="/link/learnBinaryRule?package=VHDClassification&version=0.3" data-mini-rdoc="VHDClassification::learnBinaryRule">learnBinaryRule</a></code>



vector of factors with two or more levels


type

procedure

BinaryLearningProcedure

 Do we put a prior on y (taking into account the proportion of the different class in the learning set to build the classification rule

prior


A function to learn a rule in case of 2 classes or more.
 There are reduction dimension methods (accessible via argument procedure)
to make the procedure efficient when the number of features is larger than the number of observations


This package provides an implementation of Linear discriminant analysis and quadratic discriminant analysis that works fine in very high dimension (when there are many more variables than observations).

learnPartitionWithLLR: A function to learn a rule in case of 2 classes or more

Description

Usage

Arguments