glmdenoise.utils.make_poly_matrix module¶

glmdenoise.utils.make_poly_matrix.make_poly_matrix(n, degrees)[source]¶

Calculates a matrix of polynomials used to regress them out of your data

Parameters:	n (int) – number of points degrees (array) – vector of polynomial degrees
Returns:	array of n x len(degrees)
Return type:	array

glmdenoise.utils.make_poly_matrix.make_project_matrix(X)[source]¶

Calculates a projection matrix

Parameters:	X (array) – design matrix
Returns:	Projection matrix size of X.shape[0] x X.shape[0]
Return type:	array

glmdenoise.utils.make_poly_matrix.select_noise_regressors(r2_nrs, pcstop=1.05)[source]¶

How many components to include

Parameters:	r2_nrs (ndarray) – Model fit value per solution pcstop (float, optional) – Defaults to 1.05.
Returns:	Number of noise regressors to include
Return type:	int

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