HSPSModelR: HSPSModelR: A package for producing a robust prediction model...
In BYUIDSS/HSPSModelR: Machine Learning Model Selection of Cognostic Data
Description
THis package was made for Henry Schein, but it's meant to make the caret functions simpler and easier, and to build out a list of machine learning models that can either be used in an ensemble, or just use the one with the best predictors.
Functions
preprocess_data
gg_var_imp
var_imp_overall
var_imp_raw
install_train_packages
extract_measures
get_common_predictions
get_performance
make_list
make_table
run_models
BYUIDSS/HSPSModelR documentation built on May 10, 2019, 1:20 p.m.
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.
Description
THis package was made for Henry Schein, but it's meant to make the caret functions simpler and easier, and to build out a list of machine learning models that can either be used in an ensemble, or just use the one with the best predictors.
Functions
preprocess_data
gg_var_imp
var_imp_overall
var_imp_raw
install_train_packages
extract_measures
get_common_predictions
get_performance
make_list
make_table
run_models
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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