LMFIT Contents Download Develop
Non-Linear Least-Squares Minimization and Curve-Fitting for Python Introduction Parameters Models

Index

A | B | C | D | E | F | G | I | J | L | M | N | O | P | Q | R | S | V | W

A

add()
add_many()
aic() (ModelFit method)

B

best_fit (in module model)
best_values (in module model)
bic() (ModelFit method)
BreitWignerModel (class in models)

C

chisqr (in module model)
Composite models
CompositeModel (class in model)
conf_interval() (in module lmfit)
conf_interval2d() (in module lmfit)
confidence (module)
ConstantModel (class in models)
correl
covar (in module model)

D

DampedOcsillatorModel (class in models)
data (in module model)
DonaichModel (class in models)

E

errorbars (in module model)
eval() (Model method)
(ModelFit method)
eval_components() (ModelFit method)
ExponentialGaussianModel (class in models)
ExponentialModel (class in models)
ExpressionModel (class in models)

F

fit() (Model method)
(ModelFit method)
fit_report() (in module Minimizer)
(ModelFit method)
fmin() (in module Minimizer)
func (in module model)

G

GaussianModel (class in models)
guess() (Model method)

I

ier (in module model)
independent_vars (in module model)
init_fit (in module model)
init_params (in module model)
init_values (in module model)
iter_cb (in module model)

J

jacfcn (in module model)

L

lbfgsb() (in module Minimizer)
leastsq() (in module Minimizer)
lik_ratio() (ModelFit method)
LinearModel (class in models)
lmdif_message (in module model)
LognormalModel (class in models)
LorentzianModel (class in models)

M

make_params() (Model method)
message (in module model)
method (in module model)
minimize() (built-in function)
Minimizer (class in Minimizer)
(module)
missing (in module model)
Model (class in model)
model (in module model)
(module)
ModelFit (class in model)
models (module)

N

name (in module model)
ndata (in module model)
nfev (in module model)
nfree (in module model)
nvarys (in module model)

O

opts (in module model)

P

ParabolicModel (class in models)
param_hints (in module model)
param_names (in module model)
Parameter (built-in class)
Parameters (built-in class)
params (in module model)
Pearson7Model (class in models)
PolynomialModel (class in models)
PowerLawModel (class in models)
prefix (in module model)
prepare_fit() (in module Minimizer)
PseudoVoigtModel (class in models)

Q

QuadraticModel (class in models)

R

RectangleModel (class in models)
redchi (in module model)
Removing a Constraint Expression
report_fit() (in module Minimizer)
residual (in module model)

S

scalar_minimize() (in module Minimizer)
scale_covar (in module model)
set()
set_param_hint() (Model method)
SkewedGaussianModel (class in models)
stderr
StepModel (class in models)
StudentsTModel (class in models)
success (in module model)

V

valuesdict()
VoigtModel (class in models)

W

weights (in module model)