ionics_fits
Getting Started
Design Philosophy
Contributing
Testing methodology
ionics-fits API
Changelog
ionics_fits
Index
Index
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A
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B
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C
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D
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E
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F
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G
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H
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I
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L
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M
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N
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O
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P
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R
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S
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T
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U
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V
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W
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X
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Y
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__call__() (ionics_fits.common.Model method)
__init__() (ionics_fits.binomial.BinomialFitter method)
(ionics_fits.common.Fitter method)
(ionics_fits.common.Model method)
(ionics_fits.common.ModelParameter method)
(ionics_fits.MLE.MLEFitter method)
(ionics_fits.models.benchmarking.Benchmarking method)
(ionics_fits.models.laser_rabi.LaserFlop method)
(ionics_fits.models.laser_rabi.LaserFlopFreqCoherent method)
(ionics_fits.models.laser_rabi.LaserFlopFreqDisplacedThermal method)
(ionics_fits.models.laser_rabi.LaserFlopFreqSqueezed method)
(ionics_fits.models.laser_rabi.LaserFlopFreqThermal method)
(ionics_fits.models.laser_rabi.LaserFlopTimeCoherent method)
(ionics_fits.models.laser_rabi.LaserFlopTimeDisplacedThermal method)
(ionics_fits.models.laser_rabi.LaserFlopTimeSqueezed method)
(ionics_fits.models.laser_rabi.LaserFlopTimeThermal method)
(ionics_fits.models.molmer_sorensen.MolmerSorensen method)
(ionics_fits.models.molmer_sorensen.MolmerSorensenFreq method)
(ionics_fits.models.molmer_sorensen.MolmerSorensenTime method)
(ionics_fits.models.rabi.RabiFlop method)
(ionics_fits.models.rabi.RabiFlopFreq method)
(ionics_fits.models.rabi.RabiFlopTime method)
(ionics_fits.models.rectangle.Rectangle method)
(ionics_fits.models.transformations.aggregate_model.AggregateModel method)
(ionics_fits.models.transformations.mapped_model.MappedModel method)
(ionics_fits.models.transformations.model_2d.Model2D method)
(ionics_fits.models.transformations.reparametrized_model.ReparametrizedModel method)
(ionics_fits.models.transformations.repeated_model.RepeatedModel method)
(ionics_fits.models.transformations.scaled_model.ScaledModel method)
(ionics_fits.normal.NormalFitter method)
(ionics_fits.validators.NSigmaValidator method)
_fit() (ionics_fits.common.Fitter method)
_func() (ionics_fits.common.Model method)
(ionics_fits.models.benchmarking.Benchmarking method)
(ionics_fits.models.cone.ConeSlice method)
(ionics_fits.models.exponential.Exponential method)
(ionics_fits.models.gaussian.Gaussian method)
(ionics_fits.models.laser_rabi.LaserFlop method)
(ionics_fits.models.lorentzian.Lorentzian method)
(ionics_fits.models.molmer_sorensen.MolmerSorensen method)
(ionics_fits.models.polynomial.Power method)
(ionics_fits.models.rabi.RabiFlop method)
(ionics_fits.models.ramsey.Ramsey method)
(ionics_fits.models.rectangle.Rectangle method)
(ionics_fits.models.sigmoid.LogisticFunction method)
(ionics_fits.models.sinc.Sinc method)
(ionics_fits.models.sinc.Sinc2 method)
(ionics_fits.models.sinusoid.Sine2 method)
(ionics_fits.models.sinusoid.Sinusoid method)
(ionics_fits.models.triangle.Triangle method)
A
AggregateModel (class in ionics_fits.models.transformations.aggregate_model)
Array (class in ionics_fits.utils)
ArrayLike (class in ionics_fits.utils)
B
Benchmarking (class in ionics_fits.models.benchmarking)
BinomialFitter (class in ionics_fits.binomial)
bound_param_uncertainties() (ionics_fits.models.transformations.reparametrized_model.ReparametrizedModel static method)
bound_param_values() (ionics_fits.models.transformations.reparametrized_model.ReparametrizedModel static method)
C
calc_sigma() (ionics_fits.binomial.BinomialFitter method)
(ionics_fits.common.Fitter method)
(ionics_fits.normal.NormalFitter method)
calculate_derived_params() (ionics_fits.common.Model method)
(ionics_fits.models.benchmarking.Benchmarking method)
(ionics_fits.models.exponential.Exponential method)
(ionics_fits.models.gaussian.Gaussian method)
(ionics_fits.models.laser_rabi.LaserFlop method)
(ionics_fits.models.molmer_sorensen.MolmerSorensen method)
(ionics_fits.models.molmer_sorensen.MolmerSorensenFreq method)
(ionics_fits.models.rabi.RabiFlop method)
(ionics_fits.models.ramsey.Ramsey method)
(ionics_fits.models.sinusoid.Sinusoid method)
(ionics_fits.models.triangle.Triangle method)
can_rescale() (ionics_fits.common.Model method)
(ionics_fits.models.polynomial.Polynomial method)
chi_squared() (ionics_fits.normal.NormalFitter method)
clear_heuristics() (ionics_fits.common.Model method)
clip() (ionics_fits.common.ModelParameter method)
coherent_state_probs() (in module ionics_fits.models.quantum_phys)
Cone2D (class in ionics_fits.models.multi_x)
ConeSlice (class in ionics_fits.models.cone)
covariances (ionics_fits.common.Fitter attribute)
D
derived_uncertainties (ionics_fits.common.Fitter attribute)
derived_values (ionics_fits.common.Fitter attribute)
displaced_thermal_state_probs() (in module ionics_fits.models.quantum_phys)
E
estimate_parameters() (ionics_fits.common.Model method)
(ionics_fits.models.polynomial.Parabola method)
(ionics_fits.models.polynomial.Polynomial method)
evaluate() (ionics_fits.common.Fitter method)
Exponential (class in ionics_fits.models.exponential)
F
find_x_offset_fft() (in module ionics_fits.models.heuristics)
find_x_offset_sampling() (in module ionics_fits.models.heuristics)
find_x_offset_sym_peak_fft() (in module ionics_fits.models.heuristics)
Fitter (class in ionics_fits.common)
FitValidator (class in ionics_fits.validators)
fixed_to (ionics_fits.common.ModelParameter attribute)
free_parameters (ionics_fits.common.Fitter attribute)
func() (ionics_fits.common.Model method)
(ionics_fits.models.polynomial.Polynomial method)
G
Gaussian (class in ionics_fits.models.gaussian)
Gaussian2D (class in ionics_fits.models.multi_x)
get_initial_value() (ionics_fits.common.ModelParameter method)
get_num_x_axes() (ionics_fits.common.Model method)
(ionics_fits.models.polynomial.Polynomial method)
get_num_y_axes() (ionics_fits.common.Model method)
(ionics_fits.models.polynomial.Polynomial method)
get_pgram() (in module ionics_fits.models.heuristics)
get_spectrum() (in module ionics_fits.models.heuristics)
get_sym_x() (in module ionics_fits.models.heuristics)
H
has_initial_value() (ionics_fits.common.ModelParameter method)
has_user_initial_value() (ionics_fits.common.ModelParameter method)
heuristic (ionics_fits.common.ModelParameter attribute)
I
initial_values (ionics_fits.common.Fitter attribute)
internal_parameters (ionics_fits.common.Model attribute)
ionics_fits.binomial
module
ionics_fits.common
module
ionics_fits.MLE
module
ionics_fits.models
module
ionics_fits.models.benchmarking
module
ionics_fits.models.cone
module
ionics_fits.models.exponential
module
ionics_fits.models.gaussian
module
ionics_fits.models.heuristics
module
ionics_fits.models.laser_rabi
module
ionics_fits.models.lorentzian
module
ionics_fits.models.molmer_sorensen
module
ionics_fits.models.multi_x
module
ionics_fits.models.polynomial
module
ionics_fits.models.quantum_phys
module
ionics_fits.models.rabi
module
ionics_fits.models.ramsey
module
ionics_fits.models.rectangle
module
ionics_fits.models.sigmoid
module
ionics_fits.models.sinc
module
ionics_fits.models.sinusoid
module
ionics_fits.models.transformations
module
ionics_fits.models.transformations.aggregate_model
module
ionics_fits.models.transformations.mapped_model
module
ionics_fits.models.transformations.model_2d
module
ionics_fits.models.transformations.reparametrized_model
module
ionics_fits.models.transformations.repeated_model
module
ionics_fits.models.transformations.scaled_model
module
ionics_fits.models.triangle
module
ionics_fits.models.utils
module
ionics_fits.normal
module
ionics_fits.utils
module
ionics_fits.validators
module
L
LaserFlop (class in ionics_fits.models.laser_rabi)
LaserFlopFreqCoherent (class in ionics_fits.models.laser_rabi)
LaserFlopFreqDisplacedThermal (class in ionics_fits.models.laser_rabi)
LaserFlopFreqSqueezed (class in ionics_fits.models.laser_rabi)
LaserFlopFreqThermal (class in ionics_fits.models.laser_rabi)
LaserFlopTimeCoherent (class in ionics_fits.models.laser_rabi)
LaserFlopTimeDisplacedThermal (class in ionics_fits.models.laser_rabi)
LaserFlopTimeSqueezed (class in ionics_fits.models.laser_rabi)
LaserFlopTimeThermal (class in ionics_fits.models.laser_rabi)
Line (class in ionics_fits.models.polynomial)
log_likelihood() (ionics_fits.binomial.BinomialFitter method)
(ionics_fits.MLE.MLEFitter method)
LogisticFunction (class in ionics_fits.models.sigmoid)
Lorentzian (class in ionics_fits.models.lorentzian)
lower_bound (ionics_fits.common.ModelParameter attribute)
M
MappedModel (class in ionics_fits.models.transformations.mapped_model)
MLEFitter (class in ionics_fits.MLE)
Model (class in ionics_fits.common)
model (ionics_fits.common.Fitter attribute)
Model2D (class in ionics_fits.models.transformations.model_2d)
ModelParameter (class in ionics_fits.common)
module
ionics_fits.binomial
ionics_fits.common
ionics_fits.MLE
ionics_fits.models
ionics_fits.models.benchmarking
ionics_fits.models.cone
ionics_fits.models.exponential
ionics_fits.models.gaussian
ionics_fits.models.heuristics
ionics_fits.models.laser_rabi
ionics_fits.models.lorentzian
ionics_fits.models.molmer_sorensen
ionics_fits.models.multi_x
ionics_fits.models.polynomial
ionics_fits.models.quantum_phys
ionics_fits.models.rabi
ionics_fits.models.ramsey
ionics_fits.models.rectangle
ionics_fits.models.sigmoid
ionics_fits.models.sinc
ionics_fits.models.sinusoid
ionics_fits.models.transformations
ionics_fits.models.transformations.aggregate_model
ionics_fits.models.transformations.mapped_model
ionics_fits.models.transformations.model_2d
ionics_fits.models.transformations.reparametrized_model
ionics_fits.models.transformations.repeated_model
ionics_fits.models.transformations.scaled_model
ionics_fits.models.triangle
ionics_fits.models.utils
ionics_fits.normal
ionics_fits.utils
ionics_fits.validators
MolmerSorensen (class in ionics_fits.models.molmer_sorensen)
MolmerSorensenFreq (class in ionics_fits.models.molmer_sorensen)
MolmerSorensenTime (class in ionics_fits.models.molmer_sorensen)
N
new_param_values() (ionics_fits.models.transformations.reparametrized_model.ReparametrizedModel static method)
NormalFitter (class in ionics_fits.normal)
NSigmaValidator (class in ionics_fits.validators)
O
offset (ionics_fits.models.utils.PeriodicModelParameter attribute)
P
Parabola (class in ionics_fits.models.polynomial)
Parabola2D (class in ionics_fits.models.multi_x)
param_like() (in module ionics_fits.models.utils)
param_min_sqrs() (in module ionics_fits.models.heuristics)
parameters (ionics_fits.common.Model attribute)
period (ionics_fits.models.utils.PeriodicModelParameter attribute)
PeriodicModelParameter (class in ionics_fits.models.utils)
Polynomial (class in ionics_fits.models.polynomial)
Power (class in ionics_fits.models.polynomial)
R
RabiFlop (class in ionics_fits.models.rabi)
RabiFlopFreq (class in ionics_fits.models.rabi)
RabiFlopTime (class in ionics_fits.models.rabi)
Ramsey (class in ionics_fits.models.ramsey)
Rectangle (class in ionics_fits.models.rectangle)
ReparametrizedModel (class in ionics_fits.models.transformations.reparametrized_model)
RepeatedModel (class in ionics_fits.models.transformations.repeated_model)
rescale() (ionics_fits.common.Model method)
(ionics_fits.common.ModelParameter method)
residuals() (ionics_fits.common.Fitter method)
S
scale_func (ionics_fits.common.ModelParameter attribute)
scale_invariant() (in module ionics_fits.utils)
scale_no_rescale() (in module ionics_fits.utils)
scale_power() (in module ionics_fits.utils)
scale_undefined() (in module ionics_fits.utils)
scale_x() (in module ionics_fits.utils)
scale_x_inv() (in module ionics_fits.utils)
scale_y() (in module ionics_fits.utils)
ScaledModel (class in ionics_fits.models.transformations.scaled_model)
sigma (ionics_fits.common.Fitter attribute)
Sinc (class in ionics_fits.models.sinc)
Sinc2 (class in ionics_fits.models.sinc)
Sine2 (class in ionics_fits.models.sinusoid)
SineMinMax (class in ionics_fits.models.sinusoid)
Sinusoid (class in ionics_fits.models.sinusoid)
squeezed_state_probs() (in module ionics_fits.models.quantum_phys)
T
thermal_state_probs() (in module ionics_fits.models.quantum_phys)
Triangle (class in ionics_fits.models.triangle)
U
uncertainties (ionics_fits.common.Fitter attribute)
unscale() (ionics_fits.common.Model method)
(ionics_fits.common.ModelParameter method)
upper_bound (ionics_fits.common.ModelParameter attribute)
user_estimate (ionics_fits.common.ModelParameter attribute)
V
validate() (ionics_fits.validators.FitValidator method)
(ionics_fits.validators.NSigmaValidator method)
values (ionics_fits.common.Fitter attribute)
W
window_fun() (ionics_fits.validators.FitValidator method)
wrap_scale_funcs() (ionics_fits.models.transformations.model_2d.Model2D method)
X
x (ionics_fits.common.Fitter attribute)
x_scales (ionics_fits.common.Fitter attribute)
Y
y (ionics_fits.common.Fitter attribute)
y_scales (ionics_fits.common.Fitter attribute)