brainspace.gradient.embedding.Embedding

class brainspace.gradient.embedding.Embedding(n_components=2)

Base class for embedding approaches.

Defines fit_transform method.

__init__(n_components=2)

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__([n_components])	Initialize self.
fit(x)
fit_transform(x)	Compute embedding for x.
get_params([deep])	Get parameters for this estimator.
set_params(**params)	Set the parameters of this estimator.

fit(x)

fit_transform(x)

Compute embedding for x.

Parameters:x (ndarray, shape = (n, n)) – Input matrix. Returns:embedding (ndarray, shape(n, n_components)) – Embedded data.