midlearn.MIDConditional

class midlearn.MIDConditional(estimator: MIDRegressor | MIDExplainer, variable: str, **kwargs)[source]

MID Conditional Expectations.

This object is returned by the MIDRegressor.conditional() method and contains data for plotting conditional dependence.

__init__(estimator: MIDRegressor | MIDExplainer, variable: str, **kwargs)[source]

Initialize the MIDConditional object.

Parameters:

  • estimator (MIDRegressor or MIDExplainer) – The fitted MID model instance to use.

  • variable (str) – The name of the feature for which to calculate conditional dependence.

  • **kwargs (dict) – Additional keyword arguments passed to the midr::mid.conditional() function in R.

Methods

__init__(estimator, variable, **kwargs)

Initialize the MIDConditional object.

plot([style, theme, var_color, dots, reference])

Visualize Individual Conditional Expectation (ICE) plots or Centered ICE (c-ICE) plots with plotnine.

terms(**kwargs)

Attributes

conditional

observed

values