Plot LIME Explanation Summary — eval.plot.lime • SPQRX

Generates a summary plot of LIME (Local Interpretable Model-agnostic Explanations) feature contributions for one or more observations. The plot displays feature contributions on the x-axis and features ordered by mean absolute contribution on the y-axis. Points are colored by the corresponding feature values.

Usage

eval.plot.lime(model, x_training, x_explain, tau = 0.5)

Arguments

model: A fitted model object returned by fit_spqrx().
x_training: Matrix or data frame of training covariates used to build the LIME explainer.
x_explain: Matrix, data frame, or numeric vector representing the observation(s) to explain.
tau: Numeric. Quantile level used for prediction when generating LIME explanations. Default is 0.5.

Value

Invisibly returns a ggplot object showing the LIME contribution summary.