default_fit_method: str

__init__(self, fit_basis, expansion_coeffs=None, basis_parameters=None, **kwargs): 

@classmethod
canonicalize_basis(cls, fit_basis, basis_parameters): 

__call__(self, pts, order=None, **opts): 

@classmethod
evaluate_kernel(cls, fit_basis, basis_parameters, pts, coeffs=None, order=None, **opts): 

@classmethod
get_kernel_and_opts(cls, k): 

@classmethod
parse_kernel_specs(cls, kernels): 

@classmethod
nonlinear_fit(cls, kernel_specs, pts, observations, include_expansion_coefficients=True, **fit_params): 

@classmethod
get_fit_methods(cls): 

@classmethod
get_fit_dispatch(cls): 

@classmethod
fit(cls, kernels, pts, observations, method=None, **opts):