> ## Documentation Index
> Fetch the complete documentation index at: https://aidflow.aigensys.com/llms.txt
> Use this file to discover all available pages before exploring further.

# AgentPredictorWorker.score

**def AgentPredictorWorker.score**(self, data) [\[source\]](https://github.com/aigensys-labs/aidflow/blob/main/AID/\TRUENAS\aig_modeling_Products\AID\1_0_Lib\AID\selector\select\agent\champion_predictor.py#L684)

Equals to:

> > > d = self.preprocess(data)
> > > ... return self.transform(d).data

<table>
  <tbody>
    <tr><td>`One-call production inference: raw data`</td><td>→</td><td>P(class=1) scores.</td></tr>
  </tbody>
</table>

#### Parameters

**`data`** : *`pDF`*
Raw input data (pre-WOE, original feature names).

#### Returns

*`pDF`*
Single-column DataFrame of P(class=1) probabilities.\
Column name = target name. Index matches input.


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