def NumEncoderWorker.transform(self, data, subset=None) [source]
Apply fitted bin encodings to new data.
Maps each numerical feature to its binned (grouped)
categorical values using the learned encoding maps.
Parameters
data : pDF
New data containing the original numerical features.
subset : list
Specific features to process and return.
Default = None: all trained features.
Default = None: all trained features.
Returns
NumEncoderResult
Transformed data + feature lineage metadata.