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.Surv Man page Source code
plot.learning_curve Man page Source code
plot.roc_curve 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
emil documentation built on July 6, 2017, 9:01 a.m.