flip.fisher

flip.fisher#

Attributes#

log

Classes#

FisherMatrix

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, data_free_par=None, parameter_values_dict=None)[source]#
_default_fisher_properties#
covariance = None#
inverse_covariance_sum = None#
parameter_values_dict = None#
free_par#
classmethod init_from_covariance(covariance, data, parameter_values_dict, fisher_properties={})[source]#
compute_covariance_derivative(partial_coefficients_dict_param)[source]#
compute_fisher_matrix()[source]#
Contents