API for ModelOriented/forester
Quick and Simple Tools for Training and Testing of Tree-Based Models

Global functions
adult Man page
basic_info Man page Source code
best_model_predict Man page Source code
binarize_target Man page Source code
boruta_selection Man page Source code
calculate_confusion_matrixes Source code
check_cor Man page Source code
check_data Man page Source code
check_dim Man page Source code
check_duplicate_col Man page Source code
check_missing Man page Source code
check_outliers Man page Source code
check_static Man page Source code
check_y_balance Man page Source code
colors_discrete_forester Man page Source code
colors_diverging_forester Man page Source code
compas Man page
custom_preprocessing Man page Source code
delete_correlated_values Man page Source code
delete_id_columns Man page Source code
detect_id_columns Man page Source code
draw_boxplot Man page Source code
draw_confusion_matrix Man page Source code
draw_feature_importance Man page Source code
draw_radar_plot Man page Source code
draw_rmse_plot Man page Source code
draw_roc_plot Man page Source code
draw_scatterplot Man page Source code
explain Man page Source code
fertility Man page
find_duplicate_columns Man page Source code
guess_type Man page Source code
impute_basic Man page Source code
impute_knn Man page Source code
impute_mice Man page Source code
lisbon Man page
lymph Man page
manage_missing Man page Source code
metric_function_null Source code
model_performance_accuracy Source code
model_performance_accuracy_multi Source code
model_performance_auc Source code
model_performance_balanced_accuracy Source code
model_performance_f1 Source code
model_performance_macro_f1 Source code
model_performance_macro_precision Source code
model_performance_macro_recall Source code
model_performance_mad Source code
model_performance_mae Source code
model_performance_micro_f1 Source code
model_performance_micro_precision Source code
model_performance_micro_recall Source code
model_performance_mse Source code
model_performance_precision Source code
model_performance_r2 Source code
model_performance_recall Source code
model_performance_rmse Source code
model_performance_sensitivity Source code
model_performance_specificity Source code
model_performance_weighted_f1 Source code
model_performance_weighted_precision Source code
model_performance_weighted_recall Source code
plot.binary_clf Man page Source code
plot.multiclass Man page Source code
plot.regression Man page Source code
pre_rm_static_cols Man page Source code
predict_models_all Man page Source code
predict_new Man page Source code
prepare_data Man page Source code
preprocessing Man page Source code
preprocessing_feature_selection Man page Source code
preprocessing_imputation Man page Source code
preprocessing_removal Man page Source code
random_search Man page Source code
report Man page Source code
rm_correlated_columns Man page Source code
rm_corrupted_observations Man page Source code
rm_duplicate_columns Man page Source code
rm_id_like_columns Man page Source code
rm_sparse_columns Man page Source code
rm_static_cols Man page Source code
save_deleted_columns Man page Source code
save_forest Man page Source code
score_models Man page Source code
select_boruta Man page Source code
select_mcfs Man page Source code
select_mi_varrank Man page Source code
select_models Man page Source code
select_vi Man page Source code
testing_data Man page
theme_forester Man page Source code
train Man page Source code
train_models Man page Source code
train_models_bayesopt Man page Source code
train_test_balance Man page Source code
verbose_cat Man page Source code
ModelOriented/forester documentation built on June 6, 2024, 7:29 a.m.