> ## Documentation Index
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> Use this file to discover all available pages before exploring further.

# WoeEncoderWorker.transform

**def WoeEncoderWorker.transform**(self, data, subset=None) [\[source\]](https://github.com/aigensys-labs/aidflow/blob/main/AID/\TRUENAS\aig_modeling_Products\AID\1_0_Lib\AID\data\encode\woe_encoder.py#L721)

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 (`including IXN`).\
Default = None: all trained features.

#### Returns

*`WoeEncoderResult`*
WOE-encoded features + full feature lineage metadata.


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