Index

_

__call__() (symfit.core.argument.Parameter method) (symfit.core.fit.Model method) __getattr__() (symfit.core.fit.ParameterDict method) __getitem__() (symfit.core.fit.ParameterDict method) __init__() (symfit.core.argument.Parameter method) (symfit.core.fit.BaseFit method), [1] (symfit.core.fit.Constraint method) (symfit.core.fit.FitResults method) (symfit.core.fit.Minimize method) (symfit.core.fit.Model method)

__iter__() (symfit.core.fit.ParameterDict method) __len__() (symfit.core.fit.ParameterDict method) __str__() (symfit.core.fit.FitResults method) (symfit.core.fit.Model method) __weakref__ (symfit.core.argument.Argument attribute) (symfit.core.fit.BaseFit attribute), [1] (symfit.core.fit.FitResults attribute) (symfit.core.fit.Model attribute) (symfit.core.fit.ParameterDict attribute)

A

Argument (class in symfit.core.argument)

B

BaseFit (class in symfit.core.fit), [1]

bounds (symfit.core.fit.Model attribute)

C

cache() (in module symfit.core.support) call() (in module symfit.core.operators) chi (symfit.core.fit.Model attribute) chi_jacobian (symfit.core.fit.Model attribute)

chi_squared (symfit.core.fit.Model attribute) Constraint (class in symfit.core.fit) constraint_type (symfit.core.fit.Constraint attribute)

D

dependent_data (symfit.core.fit.BaseFit attribute), [1]

E

error_func() (symfit.core.fit.Likelihood method) (symfit.core.fit.Minimize method) eval_jacobian() (symfit.core.fit.Likelihood method) (symfit.core.fit.Minimize method)

execute() (symfit.core.fit.BaseFit method), [1] (symfit.core.fit.NumericalLeastSquares method) Exp() (in module symfit.distributions)

F

Fit (class in symfit.core.fit) FitResults (class in symfit.core.fit)

from_dict() (symfit.core.fit.Model class method)

G

Gaussian() (in module symfit.distributions) get_stdev() (symfit.core.fit.ParameterDict method)

get_value() (symfit.core.fit.ParameterDict method)

I

independent_data (symfit.core.fit.BaseFit attribute), [1] infodict (symfit.core.fit.FitResults attribute)

initial_guesses (symfit.core.fit.BaseFit attribute), [1] iterations (symfit.core.fit.FitResults attribute)

J

jacobian (symfit.core.fit.Constraint attribute) (symfit.core.fit.Model attribute)

jacobian() (in module symfit.core.support)

K

keys() (symfit.core.fit.ParameterDict method)

L

Likelihood (class in symfit.core.fit)

M

Maximize (class in symfit.core.fit) Minimize (class in symfit.core.fit)

Model (class in symfit.core.fit)

N

numerical_chi (symfit.core.fit.Model attribute) numerical_chi_jacobian (symfit.core.fit.Model attribute) numerical_chi_squared (symfit.core.fit.Model attribute)

numerical_components (symfit.core.fit.Constraint attribute) (symfit.core.fit.Model attribute) numerical_jacobian (symfit.core.fit.Constraint attribute) (symfit.core.fit.Model attribute) NumericalLeastSquares (class in symfit.core.fit)

P

Parameter (class in symfit.core.argument) ParameterDict (class in symfit.core.fit)

parameters() (in module symfit.core.support) params (symfit.core.fit.FitResults attribute)

R

r_squared (symfit.core.fit.FitResults attribute)

r_squared() (in module symfit.core.fit)

S

scipy_constraints (symfit.core.fit.Minimize attribute) seperate_symbols() (in module symfit.core.support) sigma_data (symfit.core.fit.BaseFit attribute), [1] ss_res (symfit.core.fit.Model attribute) status_message (symfit.core.fit.FitResults attribute) symfit.core.argument (module)

symfit.core.fit (module) symfit.core.operators (module) symfit.core.support (module) symfit.distributions (module) sympy_to_py() (in module symfit.core.support) sympy_to_scipy() (in module symfit.core.support)

V

Variable (class in symfit.core.argument) variables() (in module symfit.core.support)

vars (symfit.core.fit.Model attribute)