StandardizeTransform๏
Stability: Stable
What it is๏
Use StandardizeTransform as a ready-made preprocessing step inside direct analysis code or a Pipeline.
Representative Signatures๏
StandardizeTransform(method="zscore", robust=False, axis="time")
StandardizeTransform.inverse_transform(y)
Minimal Example๏
from gwexpy.timeseries import StandardizeTransform
standardized = StandardizeTransform().fit_transform(ts_matrix)
API Reference๏
The detailed generated API continues below on this page.
Inherits from: Transform
Standardize TimeSeries/Matrix objects with optional robust scaling.
Methods๏
__init__๏
__init__(self, method: str = 'zscore', ddof: int = 0, robust: bool = False, axis: str = 'time', *, multivariate: bool = False, align: str = 'intersection')
Initialize self. See help(type(self)) for accurate signature.
(Inherited from Transform)
fit๏
fit(self, x)
Fit the transform to the data. Returns self.
(Inherited from Transform)
fit_transform๏
fit_transform(self, x)
Fit and transform in one step.
inverse_transform๏
inverse_transform(self, y)
Reverse the transform. Not all transforms support this.
(Inherited from Transform)
transform๏
transform(self, x)
Apply the transform to data. Must be implemented by subclasses.
(Inherited from Transform)