color_pal | Returns EY color hex values for use in plotting |
deviance | Calculates residual deviance for poisson regression. 0 y... |
eliminate_features | Performs backwards variable selection using random forest... |
generate_deviance_metrics | Generates bootstrap replicates of y and y_hat and calculates... |
generate_reg_metrics | Generates bootstrap replicates of y and y_hat and calculates... |
generate_xgb_folds | Generates a set of cross validation folds used in the... |
generate_xgb_params | Generates a random set of hyperparamters used in the xgb_reg,... |
plot_all_metrics | Plot test data bootstrapped rmse, rsquare, mae, and spearman... |
plot_cor_boot | Plot bootstrapped spearman rank correlation metrics |
plot_hyperparam_tune | Plot hyperparameter tuning results |
plot_mae_boot | Plot bootstrapped mae |
plot_predicted_actual | Plot test data predicted versus actual scatter plot |
plot_rmse_boot | Plot bootstrapped rmse |
plot_rsq_boot | Plot bootstrapped Rsquare |
prep_bin | Preps binary targets using vtreat using cross frames and and... |
prep_numeric | Preps numeric targets using vtreat using cross frames and and... |
split_data | splits train and test frames |
xgb_bin | Automatically models categorical targets with random search... |
xgb_pois | Automatically models poisson targets with random search... |
xgb_reg | Automatically models numeric targets (squared error function)... |
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