API for ModelOriented/xspliner
Assisted Model Building, using Surrogate Black-Box Models to Train Interpretable Spline Based Additive Models

Global functions
aic Man page Source code
approx_with_monotonic_spline Man page Source code
approx_with_spline Man page Source code
build_approximation_formula Source code
build_xspliner Man page Source code
clear_special_component Source code
compare_summary Source code
data_linear_scaling Source code
extract_formula_var_names Source code
fit_max_diff Source code
fit_r_sq Source code
fit_roc_diff Source code
get_formula_metadata Source code
get_formula_single_components Source code
get_qualitative_transition Source code
get_special_predictors Source code
hoslem Man page Source code
log_msg Man page Source code
match_parameters Source code
measure_diff_roc Source code
model_surrogate_xspliner Man page
plot.xspliner Man page Source code
plot_model_comparison Man page Source code
plot_quantitative Source code
plot_variable_transition Man page Source code
predict.xspliner Man page Source code
prepare_transition_params_ale Source code
prepare_transition_params_ice Source code
prepare_transition_params_pdp Source code
print.xspliner Man page Source code
specials Source code
stats Man page
summary.xspliner Man page Source code
transition Man page Source code
transition.xspliner Man page Source code
xf_opts_default Man page
xs_opts_default Man page
xspline Man page Source code
xspline.default Man page Source code
xspline.explainer Man page Source code
xspline.formula Man page Source code
xspliner-package Man page
ModelOriented/xspliner documentation built on Oct. 5, 2019, 3:42 p.m.