Index

Symbols | A | B | C | D | E | F | G | H | I | J | L | M | N | O | P | Q | R | S | U

Symbols

--abcsim=SIM
python--m-qinfer.examples.qubit_tomography_example command line option
--abctol=TOL
python--m-qinfer.examples.qubit_tomography_example command line option
--dbscan-eps=EPS
python--m-qinfer.examples.qubit_tomography_example command line option
--dbscan-minparticles=N
python--m-qinfer.examples.qubit_tomography_example command line option
--lw-a=A
python--m-qinfer.examples.qubit_tomography_example command line option
--wdbscan-pow=POW
python--m-qinfer.examples.qubit_tomography_example command line option
-a ALGO, --algorithm=ALGO
python--m-qinfer.examples.qubit_tomography_example command line option
-e NE, --n_exp=NE
python--m-qinfer.examples.qubit_tomography_example command line option
-n NP, --n_particles=NP
python--m-qinfer.examples.qubit_tomography_example command line option
-p, --plot
python--m-qinfer.examples.qubit_tomography_example command line option
-r ALGO, --resampler=ALGO
python--m-qinfer.examples.qubit_tomography_example command line option
-v, --verbose
python--m-qinfer.examples.qubit_tomography_example command line option

A

a (qinfer.resamplers.LiuWestResampler attribute)
AcceleratedPrecessionModel (class in qinfer)
are_models_valid() (qinfer.AcceleratedPrecessionModel static method)
(qinfer.Simulatable method)
(qinfer.rb.RandomizedBenchmarkingModel method)
(qinfer.test_models.NDieModel static method)
(qinfer.test_models.NoisyCoinModel static method)

B

base_model (qinfer.Simulatable attribute)
batch_update() (qinfer.smc.SMCUpdater method)
bayes_risk() (qinfer.smc.SMCUpdater method)
binomial_pdf() (in module qinfer.utils)
BinomialModel (class in qinfer.derived_models)

C

call_count (qinfer.Model attribute)
canonicalize() (qinfer.Simulatable method)
clear_cache() (qinfer.parallel.DirectViewParallelizedModel method)
(qinfer.Simulatable method)
ClusteringResampler (class in qinfer.resamplers)
ConstantDistribution (class in qinfer)

D

data_record (qinfer.smc.SMCUpdater attribute)
decorated_model (qinfer.derived_models.BinomialModel attribute)
description (qinfer.IPythonProgressBar attribute)
design_expparams_field() (qinfer.ExperimentDesigner method)
DifferentiableModel (class in qinfer)
DirectViewParallelizedModel (class in qinfer.parallel)
distance() (qinfer.Simulatable method)
Distribution (class in qinfer)

E

ellipsoid_volume() (in module qinfer.utils)
est_cluster_covs() (qinfer.smc.SMCUpdater method)
est_cluster_metric() (qinfer.smc.SMCUpdater method)
est_cluster_moments() (qinfer.smc.SMCUpdater method)
est_covariance_mtx() (qinfer.smc.SMCUpdater method)
est_credible_region() (qinfer.smc.SMCUpdater method)
est_entropy() (qinfer.smc.SMCUpdater method)
est_kl_divergence() (qinfer.smc.SMCUpdater method)
est_mean() (qinfer.smc.SMCUpdater method)
est_meanfn() (qinfer.smc.SMCUpdater method)
expected_information_gain() (qinfer.smc.SMCUpdater method)
experiment_cost() (qinfer.Simulatable method)
ExperimentDesigner (class in qinfer)
expparams_dtype (qinfer.AcceleratedPrecessionModel attribute)
(qinfer.Simulatable attribute)
(qinfer.derived_models.BinomialModel attribute)
(qinfer.rb.RandomizedBenchmarkingModel attribute)
(qinfer.test_models.NDieModel attribute)
(qinfer.test_models.NoisyCoinModel attribute)
(qinfer.test_models.SimplePrecessionModel attribute)
ExpSparseHeuristic (class in qinfer)

F

F() (in module qinfer.rb)
finished() (qinfer.IPythonProgressBar method)
fisher_information() (qinfer.DifferentiableModel method)
format_uncertainty() (in module qinfer.utils)

G

GinibreUniform (class in qinfer)
grad_log_pdf() (qinfer.MultivariateNormalDistribution method)
(qinfer.NormalDistribution method)
(qinfer.PostselectedDistribution method)
(qinfer.UniformDistribution method)

H

HaarUniform (class in qinfer)
Heuristic (class in qinfer)
HilbertSchmidtUniform (class in qinfer)
hypothetical_update() (qinfer.smc.SMCUpdater method)

I

IPythonProgressBar (class in qinfer)
is_model_valid() (qinfer.Model method)
is_n_outcomes_constant (qinfer.AcceleratedPrecessionModel attribute)
(qinfer.Simulatable attribute)
(qinfer.derived_models.BinomialModel attribute)
(qinfer.rb.RandomizedBenchmarkingModel attribute)
(qinfer.test_models.NDieModel attribute)
(qinfer.test_models.NoisyCoinModel attribute)

J

just_resampled (qinfer.smc.SMCUpdater attribute)

L

likelihood() (qinfer.AcceleratedPrecessionModel method)
(qinfer.Model method)
(qinfer.derived_models.BinomialModel method)
(qinfer.derived_models.PoisonedModel method)
(qinfer.parallel.DirectViewParallelizedModel method)
(qinfer.rb.RandomizedBenchmarkingModel method)
(qinfer.test_models.NDieModel method)
(qinfer.test_models.NoisyCoinModel method)
(qinfer.test_models.SimplePrecessionModel method)
LiuWestResampler (class in qinfer.resamplers)
log_total_likelihood (qinfer.smc.SMCUpdater attribute)

M

make_Paulis() (qinfer.HilbertSchmidtUniform method)
Model (class in qinfer)
model_chain (qinfer.Simulatable attribute)
modelparam_names (qinfer.rb.RandomizedBenchmarkingModel attribute)
(qinfer.Simulatable attribute)
MultivariateNormalDistribution (class in qinfer)
mvee() (in module qinfer.utils)

N

n_engines (qinfer.parallel.DirectViewParallelizedModel attribute)
n_ess (qinfer.smc.SMCUpdater attribute)
n_modelparams (qinfer.AcceleratedPrecessionModel attribute)
(qinfer.Simulatable attribute)
(qinfer.rb.RandomizedBenchmarkingModel attribute)
(qinfer.test_models.NDieModel attribute)
(qinfer.test_models.NoisyCoinModel attribute)
n_outcomes() (qinfer.AcceleratedPrecessionModel method)
(qinfer.Simulatable method)
(qinfer.derived_models.BinomialModel method)
(qinfer.rb.RandomizedBenchmarkingModel method)
(qinfer.test_models.NDieModel method)
(qinfer.test_models.NoisyCoinModel method)
n_particles (qinfer.smc.SMCUpdater attribute)
n_rvs (qinfer.ConstantDistribution attribute)
(qinfer.Distribution attribute)
(qinfer.GinibreUniform attribute)
(qinfer.HaarUniform attribute)
(qinfer.HilbertSchmidtUniform attribute)
(qinfer.MultivariateNormalDistribution attribute)
(qinfer.NormalDistribution attribute)
(qinfer.PostselectedDistribution attribute)
(qinfer.ProductDistribution attribute)
(qinfer.UniformDistribution attribute)
(qinfer.smc.SMCUpdater attribute)
NDieModel (class in qinfer.test_models)
new_exp() (qinfer.ExperimentDesigner method)
NoisyCoinModel (class in qinfer.test_models)
NormalDistribution (class in qinfer)
normalization_record (qinfer.smc.SMCUpdater attribute)

O

outer_product() (in module qinfer.utils)

P

p() (in module qinfer.rb)
particle_covariance_mtx() (in module qinfer.utils)
particle_meanfn() (in module qinfer.utils)
perf_test() (in module qinfer)
perf_test_multiple() (in module qinfer)
PGH (class in qinfer)
plot_covariance() (qinfer.smc.SMCUpdater method)
plot_posterior_contour() (qinfer.smc.SMCUpdater method)
plot_posterior_marginal() (qinfer.smc.SMCUpdater method)
PoisonedModel (class in qinfer.derived_models)
posterior_marginal() (qinfer.smc.SMCUpdater method)
posterior_mesh() (qinfer.smc.SMCUpdater method)
PostselectedDistribution (class in qinfer)
pr0_to_likelihood_array() (qinfer.Model static method)
ProductDistribution (class in qinfer)
python--m-qinfer.examples.qubit_tomography_example command line option
--abcsim=SIM
--abctol=TOL
--dbscan-eps=EPS
--dbscan-minparticles=N
--lw-a=A
--wdbscan-pow=POW
-a ALGO, --algorithm=ALGO
-e NE, --n_exp=NE
-n NP, --n_particles=NP
-p, --plot
-r ALGO, --resampler=ALGO
-v, --verbose

Q

Q (qinfer.Simulatable attribute)
qinfer (module)
qinfer.examples (module)

R

RandomizedBenchmarkingModel (class in qinfer.rb)
region_est_ellipsoid() (qinfer.smc.SMCUpdater method)
region_est_hull() (qinfer.smc.SMCUpdater method)
resample() (qinfer.smc.SMCUpdater method)
resample_count (qinfer.smc.SMCUpdater attribute)
resampling_divergences (qinfer.smc.SMCUpdater attribute)
reset() (qinfer.smc.SMCUpdater method)
risk() (qinfer.smc.SMCUpdater method)

S

sample() (qinfer.ConstantDistribution method)
(qinfer.Distribution method)
(qinfer.GinibreUniform method)
(qinfer.HaarUniform method)
(qinfer.HilbertSchmidtUniform method)
(qinfer.MultivariateNormalDistribution method)
(qinfer.NormalDistribution method)
(qinfer.PostselectedDistribution method)
(qinfer.ProductDistribution method)
(qinfer.UniformDistribution method)
(qinfer.smc.SMCUpdater method)
score() (qinfer.DifferentiableModel method)
(qinfer.rb.RandomizedBenchmarkingModel method)
(qinfer.test_models.SimplePrecessionModel method)
sim_count (qinfer.Simulatable attribute)
SimplePrecessionModel (class in qinfer.test_models)
Simulatable (class in qinfer)
simulate_experiment() (qinfer.derived_models.BinomialModel method)
(qinfer.Model method)
(qinfer.Simulatable method)
(qinfer.derived_models.PoisonedModel method)
SMCUpdater (class in qinfer.smc)
start() (qinfer.IPythonProgressBar method)

U

underlying_model (qinfer.Simulatable attribute)
UniformDistribution (class in qinfer)
uniquify() (in module qinfer.utils)
update() (qinfer.IPythonProgressBar method)
(qinfer.smc.SMCUpdater method)
update_timestep() (qinfer.derived_models.BinomialModel method)
(qinfer.Simulatable method)