Contents:
Getting started
Adding diagnostics to a MIDAS analysis
Defining the prior distribution
Specifying models for the plasma fields
Constructing the posterior
Parameters and field requests
Diagnostic model classes
Built-in field models
Built-in prior distributions
The Likelihoods module
The PlasmaState class
Evaluating the posterior
midas
Index
Index
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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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L
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M
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P
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S
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U
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__new__() (midas.Fields static method)
(midas.Parameters static method)
B
BasePrior (class in midas.priors)
BetaPrior (class in midas.priors)
build_bounds() (midas.PlasmaState class method)
build_posterior() (midas.PlasmaState class method)
C
CauchyLikelihood (class in midas.likelihoods)
component_log_probabilities() (in module midas.posterior)
ConstantUncertainty (class in midas.likelihoods)
cost() (in module midas.posterior)
cost_gradient() (in module midas.posterior)
D
DiagnosticLikelihood (class in midas.likelihoods)
DiagnosticModel (class in midas.models)
E
ExponentialPrior (class in midas.priors)
F
FieldModel (class in midas.models)
FieldRequest (class in midas)
Fields (class in midas)
G
GaussianLikelihood (class in midas.likelihoods)
GaussianPrior (class in midas.priors)
GaussianProcessPrior (class in midas.priors)
get_model_predictions() (in module midas.posterior)
get_uncertainties() (midas.likelihoods.UncertaintyModel method)
get_uncertainties_and_jacobians() (midas.likelihoods.UncertaintyModel method)
get_values() (midas.models.FieldModel method)
get_values_and_jacobian() (midas.models.FieldModel method)
gradient() (in module midas.posterior)
L
LikelihoodFunction (class in midas.likelihoods)
LinearDiagnosticModel (class in midas.models)
LinearUncertainty (class in midas.likelihoods)
log_likelihood() (midas.likelihoods.LikelihoodFunction method)
log_probability() (in module midas.posterior)
LogisticLikelihood (class in midas.likelihoods)
M
merge_parameters() (midas.PlasmaState class method)
P
Parameters (class in midas)
ParameterVector (class in midas)
PiecewiseLinearField (class in midas.models)
PlasmaState (class in midas)
predictions() (midas.models.DiagnosticModel method)
predictions_and_jacobians() (midas.models.DiagnosticModel method)
probability() (midas.priors.BasePrior method)
S
sample_model_predictions() (in module midas.posterior)
split_parameters() (midas.PlasmaState class method)
split_samples() (midas.PlasmaState class method)
U
UncertaintyModel (class in midas.likelihoods)