R/RcppExports.R

In JackStat/ModelMetrics: Rapid Calculation of Model Metrics

# Generated by using Rcpp::compileAttributes() -> do not edit by hand
# Generator token: 10BE3573-1514-4C36-9D1C-5A225CD40393

avg_rank <- function(x) {
    .Call('_ModelMetrics_avg_rank', PACKAGE = 'ModelMetrics', x)
}

auc_ <- function(actual, predicted) {
    .Call('_ModelMetrics_auc_', PACKAGE = 'ModelMetrics', actual, predicted)
}

auc2_ <- function(actual, predicted) {
    .Call('_ModelMetrics_auc2_', PACKAGE = 'ModelMetrics', actual, predicted)
}

auc3_ <- function(actual, predicted, ranks) {
    .Call('_ModelMetrics_auc3_', PACKAGE = 'ModelMetrics', actual, predicted, ranks)
}

confusionMatrix_ <- function(actual, predicted, cutoff, use_names = FALSE) {
    .Call('_ModelMetrics_confusionMatrix_', PACKAGE = 'ModelMetrics', actual, predicted, cutoff, use_names)
}

ppv_ <- function(actual, predicted, cutoff) {
    .Call('_ModelMetrics_ppv_', PACKAGE = 'ModelMetrics', actual, predicted, cutoff)
}

npv_ <- function(actual, predicted, cutoff) {
    .Call('_ModelMetrics_npv_', PACKAGE = 'ModelMetrics', actual, predicted, cutoff)
}

tnr_ <- function(actual, predicted, cutoff) {
    .Call('_ModelMetrics_tnr_', PACKAGE = 'ModelMetrics', actual, predicted, cutoff)
}

recall_ <- function(actual, predicted, cutoff) {
    .Call('_ModelMetrics_recall_', PACKAGE = 'ModelMetrics', actual, predicted, cutoff)
}

fScore_ <- function(actual, predicted, cutoff, beta) {
    .Call('_ModelMetrics_fScore_', PACKAGE = 'ModelMetrics', actual, predicted, cutoff, beta)
}

f1Score_ <- function(actual, predicted, cutoff) {
    .Call('_ModelMetrics_f1Score_', PACKAGE = 'ModelMetrics', actual, predicted, cutoff)
}

brier_ <- function(actual, predicted) {
    .Call('_ModelMetrics_brier_', PACKAGE = 'ModelMetrics', actual, predicted)
}

mcc_ <- function(actual, predicted, cutoff) {
    .Call('_ModelMetrics_mcc_', PACKAGE = 'ModelMetrics', actual, predicted, cutoff)
}

kappa_ <- function(actual, predicted, cutoff) {
    .Call('_ModelMetrics_kappa_', PACKAGE = 'ModelMetrics', actual, predicted, cutoff)
}

mae_ <- function(actual, predicted) {
    .Call('_ModelMetrics_mae_', PACKAGE = 'ModelMetrics', actual, predicted)
}

ce_ <- function(actual, predicted) {
    .Call('_ModelMetrics_ce_', PACKAGE = 'ModelMetrics', actual, predicted)
}

mse_ <- function(actual, predicted) {
    .Call('_ModelMetrics_mse_', PACKAGE = 'ModelMetrics', actual, predicted)
}

msle_ <- function(actual, predicted) {
    .Call('_ModelMetrics_msle_', PACKAGE = 'ModelMetrics', actual, predicted)
}

rmsle_ <- function(actual, predicted) {
    .Call('_ModelMetrics_rmsle_', PACKAGE = 'ModelMetrics', actual, predicted)
}

rmse_ <- function(actual, predicted) {
    .Call('_ModelMetrics_rmse_', PACKAGE = 'ModelMetrics', actual, predicted)
}

gini_ <- function(actual) {
    .Call('_ModelMetrics_gini_', PACKAGE = 'ModelMetrics', actual)
}

logLoss_ <- function(actual, predicted) {
    .Call('_ModelMetrics_logLoss_', PACKAGE = 'ModelMetrics', actual, predicted)
}

mlogLoss_ <- function(actual, predicted) {
    .Call('_ModelMetrics_mlogLoss_', PACKAGE = 'ModelMetrics', actual, predicted)
}

plogLoss_ <- function(actual, predicted) {
    .Call('_ModelMetrics_plogLoss_', PACKAGE = 'ModelMetrics', actual, predicted)
}