Robust Normalizer

Robust Normalizer

neojax.data.normalizers.robust_normalizer.RobustNormalizer

Normalizes data using median and interquartile range.

This normalizer is robust to outliers as it uses the median and the interquartile range (IQR).

Parameters:

Name	Type	Description	Default
median	float | Float[Array, ...] | None	Optional median for dynamical scaling. Default is None, i.e., use learned median from self.stats.	None
scale	float | Float[Array, ...] | None	Optional interquartile range for dynamical scaling. Default is None, i.e., use learned iqr from self.stats.	None
quantile_range	tuple[float, float]		(25.0, 75.0)

Internal Attributes

These fields store the internal state of the normalizer.

• quantile_range (tuple[float, float]): The lower and upper quantile bounds.
• stats (dict[str, Float[Array, ...] | None]): Dict containing 'median' and 'scale' (iqr).

median property

Accessor for the median stored in stats.

scale property

Accessor for the scale stored in stats.

compute_stats(data: Float[Array, 'c ...'], axis: int | tuple[int, ...] | None = None) -> RobustNormalizer

Computes median and quantile range from given data.

Parameters:

Name	Type	Description	Default
data	Float[Array, 'c ...']	The input array to compute statistics from.	required
axis	int | tuple[int, ...] | None	Axis or axes along which the statistics are computed. The default (None) computes the global statistics.	None

Returns:

Type	Description
RobustNormalizer	A new RobustNormalizer instance with updated statistics.

transform(x: Float[Array, ...]) -> Float[Array, ...]

Normalizes input using median and quantile range.

Parameters:

Name	Type	Description	Default
x	Float[Array, ...]	The input array to transform.	required

Returns:

Type	Description
Float[Array, ...]	The normalized array.

inverse_transform(x: Float[Array, ...]) -> Float[Array, ...]

Reverts robust normalization.

Parameters:

Name	Type	Description	Default
x	Float[Array, ...]	The transformed array to revert.	required

Returns:

Type	Description
Float[Array, ...]	The de-normalized array.

__call__(x: Float[Array, ...]) -> Float[Array, ...]

Standardizes input using median and quantile range.

Parameters:

Name	Type	Description	Default
x	Float[Array, ...]	Input array.	required

Returns:

Type	Description
Float[Array, ...]	Normalied input array.