> ## 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.

# Predictor.champion_predict

**def Predictor.champion\_predict**(self, data, preprocess=False) [\[source\]](https://github.com/aigensys-labs/aidflow/blob/main/AID/\TRUENAS\aig_modeling_Products\AID\1_0_Lib\AID\predictor\predictor.py#L628)

Predict with the Champion Production Agent on input data.

The champion is the final production model selected
during the Selection stage. This is the primary
inference method for production scoring.

#### Parameters

**`data`** : *`pDF`*
Input data.

**`preprocess`** : *`bool`*
If True, applies the champion's full preprocessing\
pipeline before prediction. If False, expects\
pre-processed data.

#### Returns

*`AgentPredictorResult`*
P(class=1) + production model metadata.


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