learnPartitionWithLLR: A function to learn a rule in case of 2 classes or more
In VHDClassification: Discrimination/Classification in very high dimension with linear and quadratic rules.
Description
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
Usage
1
2
Arguments
The Argument are exactly the same as in learnBinaryRule except that y may have more than 2 levels
x
see learnBinaryRule
y
vector of factors with two or more levels
type
procedure
ql
qq
BinaryLearningProcedure
prior
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
VHDClassification documentation built on May 2, 2019, 2:38 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
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
Usage
1 2 |
Arguments
The Argument are exactly the same as in learnBinaryRule except that y may have more than 2 levels
x |
see |
y |
vector of factors with two or more levels |
type |
|
procedure |
|
ql |
|
qq |
|
BinaryLearningProcedure |
|
prior |
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 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.