pyeeg.solvers.Solver.solve

abstractmethod Solver.solve(X, y, alpha=0.0, M=None)

Solve the regression problem and return the coefficients.

Parameters:

  • X (ndarray or list of ndarray) – Design matrix (n_samples, n_features) or list of segments.

  • y (ndarray or list of ndarray) – Target (n_samples, n_channels), (n_samples, n_channels, n_epochs), or list of arrays (one per segment).

  • alpha (float or array-like, optional) – Regularization strength(s). When M is provided, alpha is ignored in the solve (it only controls the output axis size for API compatibility). Default is 0.0.

  • M (ndarray or None, optional) – Quadratic regularization matrix. If provided, replaces L2 (alpha) regularization. Default is None.

Returns:

result – Contains betas (ndarray of estimated coefficients) and info (dict or None).

Return type:

SolverResult