def WoeEncoderWorker.transform(self, data, subset=None) [source]
Apply fitted WOE encodings to new data.
For each encoded feature, produces the WOE numeric value
based on the bin assignment of the input observation.
Unknown values are mapped to the ‘Missing’ category.
Parameters
data : pDF
New data containing the original (pre-WOE) features.
subset : list
Specific features to process and return (
Default = None: all trained features.
including IXN).Default = None: all trained features.
Returns
WoeEncoderResult
WOE-encoded features + full feature lineage metadata.