Features_Importance: Importance-based feature selection.
In masato-ogishi/Repitope: Epitope immunogenicity prediction through in silico TCR-peptide contact potential profiling
View source: R/Features_Importance.R
Features_Importance R Documentation
Importance-based feature selection.
Description
Features_Importance estimates feature importance values using the Random Forest algorithm.
Features_Importance_Reduce reduces the number of the retained features.
Usage
Features_Importance(preprocessedDFList, featureN = 100)
Features_Importance_Reduce(featureImportanceDFList, featureN = 30)
Arguments
preprocessedDFList
An output generated by Features_Preprocess or Features_CorFilter.
featureN
The number of the features that should be retained. Can be NULL to disable feature selection.
featureImportanceDFList
An output generated by Features_Importance.
masato-ogishi/Repitope documentation built on Feb. 14, 2023, 5:47 a.m.
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View source: R/Features_Importance.R
| Features_Importance | R Documentation |
Importance-based feature selection.
Description
Features_Importance estimates feature importance values using the Random Forest algorithm.
Features_Importance_Reduce reduces the number of the retained features.
Usage
Features_Importance(preprocessedDFList, featureN = 100) Features_Importance_Reduce(featureImportanceDFList, featureN = 30)
Arguments
preprocessedDFList |
An output generated by |
featureN |
The number of the features that should be retained. Can be |
featureImportanceDFList |
An output generated by |
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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