PCATransform๏
Stability: Stable
What it is๏
Use PCATransform as a ready-made preprocessing step inside direct analysis code or a Pipeline.
Representative Signatures๏
PCATransform(n_components=None, whiten=False, align="intersection")
PCATransform.fit_transform(x)
Minimal Example๏
from gwexpy.timeseries import PCATransform
components = PCATransform(n_components=2).fit_transform(ts_matrix)
API Reference๏
The detailed generated API continues below on this page.
Inherits from: Transform
PCA wrapper using existing decomposition helpers.
Methods๏
__init__๏
__init__(self, n_components: Optional[int] = None, *, multivariate: bool = True, align: str = 'intersection', **kwargs)
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)