construct_feature_maps: Extract all performance metrics
In skimlab/CCSBUtils: R Utilitiy Functions for CCSB
View source: R/classifier_model_summary.R
construct_feature_maps R Documentation
Extract all performance metrics
Description
Extract all performance metrics
Usage
construct_feature_maps(models)
Arguments
models
a list of models each of which is an output of
cv_loop_train_iter
p.summary
Either "train" or "test" slot of an output of
models_performance_summary
Construct feature maps
Value
a list ("uniform" and/or "weighted") of feature map which is made of
* columns of filtered features, amended by overall_score *
predictors (selected by model), amended by overall_score,
overall_feature_score * model coefficients, amended by
overall_score, overall_score_mad, overall_score2,
overall_feature_score
skimlab/CCSBUtils documentation built on March 30, 2022, 4:52 a.m.
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View source: R/classifier_model_summary.R
| construct_feature_maps | R Documentation |
Extract all performance metrics
Description
Extract all performance metrics
Usage
construct_feature_maps(models)
Arguments
models |
a list of models each of which is an output of
|
p.summary |
Either "train" or "test" slot of an output of
|
Value
a list ("uniform" and/or "weighted") of feature map which is made of
* columns of filtered features, amended by overall_score *
predictors (selected by model), amended by overall_score,
overall_feature_score * model coefficients, amended by
overall_score, overall_score_mad, overall_score2,
overall_feature_score
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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