LMFIT
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Non-Linear Least-Squares Minimization and Curve-Fitting for Python
Introduction
Parameters
Models
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intro
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parameters
|
minimize
|
model
|
builtin models
|
confidence intervals
|
bounds
|
constraints
]
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Index
A
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B
|
C
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D
|
E
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F
|
G
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I
|
J
|
L
|
M
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N
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O
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P
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Q
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R
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S
|
V
|
W
A
add()
add_many()
B
best_fit (in module model)
best_values (in module model)
BreitWignerModel (class in models)
C
chisqr (in module model)
components (in module 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() (in module model)
,
[1]
ExponentialGaussianModel (class in models)
ExponentialModel (class in models)
F
fit() (in module model)
,
[1]
fit_report() (in module Minimizer)
(in module model)
fmin() (in module Minimizer)
func (in module model)
G
GaussianModel (class in models)
guess() (in module model)
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)
is_composite (in module model)
iter_cb (in module model)
J
jacfcn (in module model)
L
lbfgsb() (in module Minimizer)
leastsq() (in module Minimizer)
LinearModel (class in models)
lmdif_message (in module model)
LognormalModel (class in models)
LorentzianModel (class in models)
M
make_params() (in module model)
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)
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() (in module model)
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)
Navigation
index
[
intro
|
parameters
|
minimize
|
model
|
builtin models
|
confidence intervals
|
bounds
|
constraints
]