caretLime: Perform feature importance analysis using Lime
In ShaoxunLiu/proteinStructureBoost: Generate Boosting Model for Structured Protein
Description
Usage
Arguments
Value
View source: R/PSB_functions_2.R
Description
This function returns a feature importance analysis of caret model using LIME.
Usage
1
caretLime(fit.caret, set, permutation = 100)
Arguments
fit.caret
Fit model resulting from caretTrain.
set
Set of train and test data returned from trainTest.
permutation
Number of permutations in LIME
Value
A LIME explanation for caret
ShaoxunLiu/proteinStructureBoost documentation built on Dec. 18, 2021, 1:05 p.m.
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Description Usage Arguments Value
View source: R/PSB_functions_2.R
Description
This function returns a feature importance analysis of caret model using LIME.
Usage
1 | caretLime(fit.caret, set, permutation = 100)
|
Arguments
fit.caret |
Fit model resulting from caretTrain. |
set |
Set of train and test data returned from trainTest. |
permutation |
Number of permutations in LIME |
Value
A LIME explanation for caret
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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