amesHousing2018         Ames housing data 2018
as_logical_index        Assure a full length logical index
attr_df_treeshap        Extract the full treeSHAP data.frame of a
                        randomForest model
basis_attr_df           Basis matrix, 1D, of the local attribution
                        basis
cheem                   cheem
cheem_ls                Preprocessing for use in shiny app
chocolates              Chocolates dataset
color_scale_of          Suggest a color and fill scale.
default_rf              Random forest model via randomForest
devMessage              Development message
does_contain_nonnumeric
                        Check if a vector contains non-numeric
                        character
gbm.unify               Unify GBM model
global_view             Linked 'plotly' display, global view of data
                        and attribution space.
global_view_df_1layer   Create the plot data.frame for the global
                        linked plotly display.
ifDev                   Evaluate if development
is.model_unified        Check whether object is a valid model_unified
                        object
is_discrete             Check if a vector is discrete
is_diverging            Check if a vector diverges a value
is_randomForest         Check model type
lightgbm.unify          Unify LightGBM model
linear_tform            Linear function to help set alpha opacity
logistic_tform          Logistic function to help set alpha opacity
manip_var_of_attr_df    Find the manip var from a given attr_df
model_performance_df    Extract higher level model performance
                        statistics
model_unified.object    Unified model representation
print.model_unified     Prints model_unified objects
print.treeshap          Prints treeshap objects
problem_type            The type of model for a given Y variable
proto_basis1d_distribution
                        Adds the distribution of the row local
                        attributions to a ggtour
radial_cheem_tour       Cheem tour; 1D manual tour on the selected
                        attribution
randomForest.unify      Unify randomForest model
ranger.unify            Unify ranger model
rnorm_from              Draw new samples from the supplied data given
                        its mean and covariances.
run_app                 Runs a shiny app demonstrating manual tours
set_reference_dataset   Set reference dataset
treeshap                Calculate SHAP values of a tree ensemble model.
treeshap.object         treeshap results
unify_tree_model        Unify various models/predictions to a standard
                        format
xgboost.unify           Unify xgboost model
