def Predictor.data_encode(self, data=None, test_size=0.0) [source]
Apply full encoding pipeline to produce ML-ready data.
Executes dtypes standardization (if mismatch), outlier
removal (optional), WOE encoding, and train/test split.
Parameters
data : pDF | None
Input data - both raw and preprocessed supported.
test_size : float
Fraction of data allocated to the test set (used only when
no explicit test set is provided).
• Special case for 0 - returns None for test_set.
no explicit test set is provided).
• Special case for 0 - returns None for test_set.
Returns
DataEncoderResult