useDynLib(neuralnetwork, .registration = TRUE)
importFrom(Rcpp, evalCpp)
importFrom(stats, predict)
importFrom(stats, qnorm)
export(nn_fit)
export(nn_evaluate)
export(nn_cv)
export(nn_load)
export(nn_class_ind)
export(nn_compute)
export(nn_generalized_weights)
export(nn_gwplot)
export(nn_confint)
export(nn_hessian)
export(nn_multinom)
export(nn_permutation_importance)
export(nn_save)
export(nn_tune)
export(nn_which_is_max)
S3method(coef, neuralnetwork)
S3method(print, neuralnetwork_cv)
S3method(print, neuralnetwork_evaluation)
S3method(print, neuralnetwork_importance)
S3method(print, neuralnetwork_tune)
S3method(plot, neuralnetwork)
S3method(predict, neuralnetwork)
S3method(print, neuralnetwork)
S3method(summary, neuralnetwork)
S3method(print, summary.neuralnetwork)
