dot-feature_importance: Feature Importance
In Vitek-Lab/MSstatsSampleSize: Simulation tool for optimal design of high-dimensional MS-based proteomics experiment
Description
Usage
Arguments
Value
Description
The method .feature_importance() finds variables importances
for the given model and selects the top n features
Usage
1
.feature_importance(model, classifier, top_K)
Arguments
model
A model object derived from the caret classification models
classifier
The names of the classifier used to train the model on
top_K
an Integer specifying the number of features to consider for
selection
Value
A string vector of names of the top_K features
Vitek-Lab/MSstatsSampleSize documentation built on Aug. 28, 2020, 10:39 a.m.
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Description Usage Arguments Value
Description
The method .feature_importance() finds variables importances for the given model and selects the top n features
Usage
1 | .feature_importance(model, classifier, top_K)
|
Arguments
model |
A model object derived from the caret classification models |
classifier |
The names of the classifier used to train the model on |
top_K |
an Integer specifying the number of features to consider for selection |
Value
A string vector of names of the top_K features
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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