Loading sails/stft.py +2 −7 Original line number Diff line number Diff line Loading @@ -41,7 +41,6 @@ Worker functions: """ import typing import logging import warnings from dataclasses import dataclass Loading Loading @@ -1994,18 +1993,14 @@ def glm_periodogram(X, covariates=None, confounds=None, fit_method='pinv', # Compute model - each method MUST assign copes, varcopes and extras if fit_method == 'pinv': # Design matrix pseudo-inverse method copes, varcopes, extras = _glm_fit_simple(p, config) elif fit_method == 'lstsq': # numpy.linalg.lstsq method copes, varcopes, extras = _glm_fit_simple(p, covariates, confounds, config, fit_method='lstsq', fit_constant=fit_constant) elif fit_method == 'glmtools': # glmtools copes, varcopes, extras = _glm_fit_glmtools(p, covariates, confounds, config, fit_constant=fit_constant) elif _is_sklearn_estimator(fit_method): # sklearn copes, varcopes, extras = _glm_fit_sklearn_estimator(p, covariates, confounds, config, fit_method=fit_method, fit_constant=fit_constant) Loading Loading
sails/stft.py +2 −7 Original line number Diff line number Diff line Loading @@ -41,7 +41,6 @@ Worker functions: """ import typing import logging import warnings from dataclasses import dataclass Loading Loading @@ -1994,18 +1993,14 @@ def glm_periodogram(X, covariates=None, confounds=None, fit_method='pinv', # Compute model - each method MUST assign copes, varcopes and extras if fit_method == 'pinv': # Design matrix pseudo-inverse method copes, varcopes, extras = _glm_fit_simple(p, config) elif fit_method == 'lstsq': # numpy.linalg.lstsq method copes, varcopes, extras = _glm_fit_simple(p, covariates, confounds, config, fit_method='lstsq', fit_constant=fit_constant) elif fit_method == 'glmtools': # glmtools copes, varcopes, extras = _glm_fit_glmtools(p, covariates, confounds, config, fit_constant=fit_constant) elif _is_sklearn_estimator(fit_method): # sklearn copes, varcopes, extras = _glm_fit_sklearn_estimator(p, covariates, confounds, config, fit_method=fit_method, fit_constant=fit_constant) Loading