def DataEncoderWorker.fit(self, inputs, fx_choice=REG.AIG, **params) [source]
Apply the full encoding pipeline to produce ML-ready samples.
Executes dtypes standardization (if mismatch), WOE encoding
(only if WoeEncoder was fitted during pipeline), and train/test split.
Parameters
inputs : DataEncoderInput
Input configuration including train_set, test_set,
and woe_features.
and woe_features.
fx_choice : str
The encoding strategy identifier. Defaults to REG.AIG.
**params : dict
Runtime parameters passed to the internal fitter
(test_size).
(test_size).
Returns
DataEncoder
The fitted encoder instance with ML-ready samples.