def CatEncoderWorker.transform(self, data, subset=None) [source]
Apply fitted category mappings to new data.
Maps each categorical feature to its merged (post-MBS)
category values using the learned encoding maps.
Parameters
data : pDF
New data containing the original categorical features.
subset : list
Specific features to process and return.
Default = None: all trained features.
Default = None: all trained features.
Returns
CatEncoderResult
Transformed data + feature lineage metadata.