API for JSzitas/neuralfables
Neural Networks and Other Nonparametric Models for Fable

Global functions
apply_differences Source code
auto_trig_seas_dummy Source code
elm_trainer Source code
find_seasonalities Source code
fitted.NEURALFABLE Source code
fix_lagged_names Source code
forecast.ELM Source code
forecast.GAM Source code
forecast.MBOOST Source code
forecast.MLP Source code
forecast.NEURALFABLE Source code
forecast.XGBOOST Source code
forecast.garbage Source code
forecast.lstmESN Source code
gaussian_ridge_ls Source code
generate.NEURALFABLE Source code
get_ndiffs Source code
last Source code
make_X_transformers Source code
make_lag_matrix Source code
neuralfable Man page Source code
orf Source code
orf_features Source code
period Source code
poisson_ridge_wls Source code
predict.gaussian_glm Source code
predict.poisson_glm Source code
refit.NEURALFABLE Source code
residuals.NEURALFABLE Source code
resolve_intercept Source code
rff Source code
ridge_solver Source code
scaler_identity Source code
scaler_inverse_identity Source code
scaler_inverse_min_max Source code
scaler_min_max Source code
sigmoid Source code
time_dummy Source code
train_elm Source code
train_gam Source code
train_garbage Source code
train_lstm_esn Source code
train_mboost Source code
train_mlp Source code
train_neuralfable Source code
train_xgboost Source code
trigonometric_seasonal_dummy Source code
undifference Source code
JSzitas/neuralfables documentation built on March 22, 2022, 1:22 a.m.