API for emil
Evaluation of Modeling without Information Leakage

Global functions
Surv_event_types	Source code
\%>\%	Man page
as.data.frame.roc_curve	Man page Source code
as.data.table.roc_curve	Man page Source code
as.modeling_procedure	Man page Source code
as.modeling_procedure.character	Source code
as.modeling_procedure.default	Source code
as.modeling_procedure.modeling_procedure	Source code
debug_flag	Source code
detune	Man page Source code
dichotomize	Man page Source code
emil	Man page
error_fun	Man page
error_rate	Man page Source code
evaluate	Man page Source code
example_string	Source code
extension	Man page
factor_to_logical	Man page Source code
fill	Man page Source code
fit	Man page Source code
fit_caret	Man page Source code
fit_cforest	Man page Source code
fit_coxph	Man page Source code
fit_glmnet	Man page Source code
fit_lasso	Man page Source code
fit_lda	Man page Source code
fit_lm	Man page Source code
fit_naive_bayes	Man page Source code
fit_pamr	Man page Source code
fit_qda	Man page Source code
fit_randomForest	Man page Source code
fit_ridge_regression	Man page Source code
fit_rpart	Man page Source code
fit_svm	Man page Source code
get_color	Man page Source code
get_color.default	Man page Source code
get_color.factor	Man page Source code
get_importance	Man page Source code
get_importance.list	Source code
get_importance.model	Source code
get_importance.modeling_result	Source code
get_performance	Man page Source code
get_prediction	Man page Source code
get_response	Man page Source code
get_response.character	Source code
get_response.default	Source code
get_response.formula	Source code
get_tuning	Man page Source code
get_tuning.model	Source code
get_tuning.modeling_procedure	Source code
get_tuning.modeling_result	Source code
hlines	Man page Source code
image.crossvalidation	Man page Source code
image.resample	Man page Source code
importance_glmnet	Man page Source code
importance_lasso	Man page
importance_pamr	Man page Source code
importance_randomForest	Man page Source code
importance_ridge_regression	Man page
impute	Man page
impute_knn	Man page Source code
impute_median	Man page Source code
indent	Man page Source code
index_fit	Man page Source code
index_test	Man page Source code
is_blank	Man page Source code
is_constant	Man page Source code
is_constant_character	Source code
is_constant_complex	Source code
is_constant_numeric	Source code
is_multi_procedure	Man page Source code
is_tunable	Man page Source code
is_tuned	Man page Source code
learning_curve	Man page Source code
list_method	Man page Source code
log_message	Man page Source code
logical_subset	Source code
logical_subset.default	Source code
logical_subset.fold	Source code
mode	Man page Source code
modeling_procedure	Man page Source code
mse	Man page Source code
multify	Source code
na_fill	Man page Source code
na_index	Man page Source code
name_procedure	Man page Source code
neg_auc	Man page Source code
neg_gmpa	Man page Source code
neg_harrell_c	Man page Source code
nice_axis	Man page Source code
nice_box	Man page Source code
nice_require	Man page Source code
notify_once	Man page Source code
plot.learning_curve	Man page Source code
plot.roc_curve	Man page Source code
plot_Surv	Man page Source code
positive_integer_subset	Source code
positive_integer_subset.default	Source code
positive_integer_subset.fold	Source code
pre_center	Man page Source code
pre_convert	Man page Source code
pre_factor_to_logical	Man page Source code
pre_impute	Man page Source code
pre_impute_df	Man page Source code
pre_impute_knn	Man page Source code
pre_impute_mean	Man page Source code
pre_impute_median	Man page Source code
pre_log_message	Man page Source code
pre_pamr	Man page Source code
pre_pca	Man page Source code
pre_process	Man page
pre_remove	Man page Source code
pre_remove_constant	Man page Source code
pre_remove_correlated	Man page Source code
pre_scale	Man page Source code
pre_split	Man page Source code
pre_transpose	Man page Source code
predict.model	Man page Source code
predict_caret	Man page Source code
predict_cforest	Man page Source code
predict_coxph	Man page Source code
predict_glmnet	Man page Source code
predict_lasso	Man page
predict_lda	Man page Source code
predict_lm	Man page Source code
predict_naive_bayes	Man page Source code
predict_pamr	Man page Source code
predict_qda	Man page Source code
predict_randomForest	Man page Source code
predict_ridge_regression	Man page
predict_rpart	Man page Source code
predict_svm	Man page Source code
print.modeling_procedure	Source code
print.preprocessed_data	Man page Source code
pvalue	Man page Source code
pvalue.coxph	Man page Source code
pvalue.crr	Man page Source code
pvalue.cuminc	Man page Source code
pvalue.survdiff	Man page Source code
resample	Man page Source code
resample_bootstrap	Man page Source code
resample_crossvalidation	Man page Source code
resample_holdout	Man page Source code
reset_notification	Man page Source code
rmse	Man page Source code
roc_curve	Man page Source code
select	Man page
select_.learning_curve	Source code
select_.list	Man page Source code
select_.modeling_result	Source code
select_list	Source code
subresample	Man page Source code
subtree	Man page Source code
trapz	Source code
trivial_error_rate	Man page Source code
tune	Man page Source code
validate_data	Man page Source code
vlines	Man page Source code
weighted_error_rate	Man page Source code