pyriemann_qiskit.utils.preprocessing.Vectorizer

class pyriemann_qiskit.utils.preprocessing.Vectorizer

Vectorization.

This is an auxiliary transformer that allows one to vectorize data structures in a pipeline. For instance, in the case of an X with dimensions (n_samples, n_features, n_channels), one might be interested in a new data structure with dimensions (n_samples, n_features x n_channels)

Notes

Added in version 0.0.1.

Changed in version 0.3.0: Move from filtering to preprocessing module. Fix documentation.

__init__()

Methods

__init__()
fit(X, y)	Fit the training data.
fit_transform(X[, y])	Fit to data, then transform it.
get_metadata_routing()	Get metadata routing of this object.
get_params([deep])	Get parameters for this estimator.
set_output(*[, transform])	Set output container.
set_params(**params)	Set the parameters of this estimator.
transform(X)	Vectorize matrices.