standardize

Standardize()

Bases: Transform, FitOnce

Standardize features by removing the mean and scaling to unit variance.

A sample \(x\) is standardized as:

\[ z = \frac{(x - \mu)}{\sigma} \]

where

• \(\mu\) is the mean of the samples
• \(\sigma\) is the standard deviation of the samples.

Attributes:

Name	Type	Description
mean	dict[str, float] | None	The mean \(\mu\) of each feature.
std	dict[str, float] | None	The standard deviation \(\sigma\) of each feature.
counts	int | None	Number of samples already learned

Source code in src/flowcean/transforms/standardize.py

def __init__(self) -> None:
    super().__init__()