KIF: Kendall Interaction score (KIF)
In KarimOualkacha/KIF: Kendall Interaction Filter for Variable Interaction Screening in Ultra High Dimensional Classification Problems
Description
Usage
Arguments
Details
Value
View source: R/KIF_functions.R
Description
KIF function computes the KIF score of a single couple.
Usage
1
KIF(biSample, y)
Arguments
biSample
a numeric matrix with two columns and n rows.
y
the response variable. y must be a factor.
Details
KIF measure aims to select the relevant couples for the multi-class classification task. It is based on Kendall's Tau and ranges form 0 to 1. KIF is a model-free procedure, handles continuous, categorical or a mixture of continuous-categorical features, and is invariant under monotonic transformations. KIF function computes KIF score of a single couple.
Value
KIF function returns the KIF score of the given couple
KarimOualkacha/KIF documentation built on July 9, 2021, 8:55 a.m.
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Description Usage Arguments Details Value
View source: R/KIF_functions.R
Description
KIF function computes the KIF score of a single couple.
Usage
1 | KIF(biSample, y)
|
Arguments
biSample |
a numeric matrix with two columns and n rows. |
y |
the response variable. |
Details
KIF measure aims to select the relevant couples for the multi-class classification task. It is based on Kendall's Tau and ranges form 0 to 1. KIF is a model-free procedure, handles continuous, categorical or a mixture of continuous-categorical features, and is invariant under monotonic transformations. KIF function computes KIF score of a single couple.
Value
KIF function returns the KIF score of the given couple
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.
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