alime_explain_instance
                        Explain a single instance with ALIME
alime_explainer         Create an ALIME explainer
bayesian_optimisation   Bayesian optimisation of a scalar objective
bayesian_ridge_fit      Bayesian ridge regression (Tipping 2001 /
                        MacKay 1992)
baylime_explain_instance
                        Explain a single instance with BayLIME
baylime_explainer       Create a BayLIME explainer
calculate_distances     Euclidean distance of every row to an instance
compute_cov_metrics     Coefficient-of-variation metrics across
                        repeated runs
compute_csi             Coefficient Stability Index (CSI)
compute_icsi            Interval-Based Coefficient Stability Index
                        (ICSI)
compute_mad_stdevs      Robust standard deviation from repeated
                        coefficients
compute_mrms            Median Rank Matching Stability of features
                        across repeated runs
compute_pcsi            PCSI stability indices
compute_vsi             Variable Stability Index (VSI)
compute_wls_stdevs      Standard deviations of weighted ridge
                        coefficients
default_kernel_width    Default LIME kernel width for tabular data
fit_gp                  Fit a 1-D Gaussian process (Matern 3/2 kernel)
fit_weighted_ridge      Weighted ridge regression with an unpenalised
                        intercept
generate_perturbations
                        Generate a perturbed neighbourhood in
                        standardised feature space
lime_check_stability    Repeat an explanation and compute every
                        stability metric
lime_confidence_intervals
                        Confidence intervals for a LIME-style
                        explanation
lime_explain_instance   Explain a single instance with LIME
lime_explainer          Create a LIME explainer
lime_kernel             LIME exponential kernel
limestab-package        limestab: Stable LIME, OptiLIME, BayLIME and
                        ALIME
optilime                OptiLIME: choose the LIME kernel width by
                        Bayesian optimisation
optilime_score          OptiLIME objective (reflected local R-squared)
predict.optilime_gp     Predict method for optilime_gp objects
select_features         Select the features used by a LIME-style local
                        model
weighted_r2             Weighted R-squared
