flip.fisher¶

Attributes¶

Classes¶

Functions¶

inverse_covariance_inverse(covariance)

Module Contents¶

flip.fisher.log¶

flip.fisher.inverse_covariance_inverse(covariance)[source]¶

class flip.fisher.FisherMatrix(covariance=None, inverse_covariance_sum=None)[source]¶

_default_fisher_properties¶

covariance = None¶

inverse_covariance_sum = None¶

classmethod init_from_covariance(covariance, data, parameter_values_dict, fisher_properties={})[source]¶

classmethod load_error_vector(model_type, data, parameter_values_dict, fisher_properties)[source]¶

compute_covariance_derivative(partial_coefficients_dict_param)[source]¶

compute_fisher_matrix(parameter_values_dict, variant=None)[source]¶