def WoeEncoderWorker.fit(self, inputs, fx_choice=REG.GINI, **params) [source]
Fit WOE encoding on all encoded features.
For each feature: prunes bins using the selected strategy
(Gini or t-test), computes WOE values, gates on predictive
power, and stores the final encoding.
Parameters
inputs : WoeEncoderEnvelope | WoeEncoderInput
Input configuration containing train_set, target, and
feature lists.
feature lists.
fx_choice : str
The bin pruning strategy. Defaults to REG.GINI.
**params : dict
Runtime parameters passed to the internal fitter
(gini_cutoff, woe_alpha).
(gini_cutoff, woe_alpha).
Returns
WoeEncoder
The fitted encoder instance.