> ## 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.fe_stabilize

**def Predictor.fe\_stabilize**(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#L308)

Apply trained time-stability filtering to input data.

Removes variables that were detected as unstable
(time-variant distributions) during training. Ensures
only temporally stable features propagate downstream.

#### Parameters

**`data`** : *`pDF`*
Input data of shape (n\_samples, n\_features).

**`preprocess`** : *`bool`*
If True, accepts original columns and applies\
`fe_clean` first. If False, expects output\
from `fe_clean`.

#### Returns

*`FeStabilizerResult`*


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