calculateWeightsSampling: Sample features weights
In matpato/EEFR: Enhanced Ensemble Feature Ranking (EEFR)
Description
Usage
Arguments
Value
View source: R/weightsSampling.R
Description
for each sample calculate feature weights based on functionTouse metrics
Usage
1
calculateWeightsSampling(dataset, RandomRows, functionToUse, features)
Arguments
dataset
original
RandomRows
N subset index rows
functionToUse
statistical function to use as relevancy metric of each feature
list
of M features
Value
N x M list of weights
matpato/EEFR documentation built on Dec. 21, 2021, 2:53 p.m.
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Description Usage Arguments Value
View source: R/weightsSampling.R
Description
for each sample calculate feature weights based on functionTouse metrics
Usage
1 | calculateWeightsSampling(dataset, RandomRows, functionToUse, features)
|
Arguments
dataset |
original |
RandomRows |
N subset index rows |
functionToUse |
statistical function to use as relevancy metric of each feature |
list |
of M features |
Value
N x M list of weights
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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