BayesFlow
Contents:
bayesflow
BayesFlow
Index
Index
A
|
B
|
C
|
D
|
E
|
F
|
G
|
I
|
K
|
L
|
M
|
N
|
O
|
P
|
R
|
S
|
T
|
U
A
ActNorm (class in bayesflow.helper_networks)
add_entry() (bayesflow.helper_classes.LossHistory method)
AffineCouplingLayer (class in bayesflow.coupling_networks)
AmortizedLikelihood (class in bayesflow.amortizers)
AmortizedModelComparison (class in bayesflow.amortizers)
AmortizedPosterior (class in bayesflow.amortizers)
AmortizedPosteriorLikelihood (class in bayesflow.amortizers)
AmortizedTarget (class in bayesflow.amortizers)
B
backprop_step() (in module bayesflow.helper_functions)
batchable_context() (bayesflow.simulation.ContextGenerator method)
bayesflow
module
bayesflow.amortizers
module
bayesflow.benchmarks
module
bayesflow.benchmarks.bernoulli_glm
module
bayesflow.benchmarks.bernoulli_glm_raw
module
bayesflow.benchmarks.gaussian_linear
module
bayesflow.benchmarks.gaussian_linear_uniform
module
bayesflow.benchmarks.gaussian_mixture
module
bayesflow.benchmarks.lotka_volterra
module
bayesflow.benchmarks.sir
module
bayesflow.benchmarks.slcp
module
bayesflow.benchmarks.slcp_distractors
module
bayesflow.benchmarks.two_moons
module
bayesflow.computational_utilities
module
bayesflow.configuration
module
bayesflow.coupling_networks
module
bayesflow.default_settings
module
bayesflow.diagnostics
module
bayesflow.exceptions
module
bayesflow.helper_classes
module
bayesflow.helper_functions
module
bayesflow.helper_networks
module
bayesflow.inference_networks
module
bayesflow.losses
module
bayesflow.mcmc
module
bayesflow.networks
module
bayesflow.simulation
module
bayesflow.summary_networks
module
bayesflow.trainers
module
bayesflow.version
module
bayesflow.wrappers
module
Benchmark (class in bayesflow.benchmarks)
build() (bayesflow.wrappers.SpectralNormalization method)
build_meta_dict() (in module bayesflow.helper_functions)
C
call() (bayesflow.amortizers.AmortizedLikelihood method)
(bayesflow.amortizers.AmortizedPosterior method)
(bayesflow.amortizers.AmortizedPosteriorLikelihood method)
(bayesflow.coupling_networks.AffineCouplingLayer method)
(bayesflow.helper_networks.ActNorm method)
(bayesflow.helper_networks.DenseCouplingNet method)
(bayesflow.helper_networks.EquivariantModule method)
(bayesflow.helper_networks.InvariantModule method)
(bayesflow.helper_networks.MultiConv1D method)
(bayesflow.helper_networks.Permutation method)
(bayesflow.inference_networks.EvidentialNetwork method)
(bayesflow.inference_networks.InvertibleNetwork method)
(bayesflow.summary_networks.InvariantNetwork method)
(bayesflow.summary_networks.SequentialNetwork method)
(bayesflow.summary_networks.SplitNetwork method)
(bayesflow.wrappers.SpectralNormalization method)
call_loop() (bayesflow.amortizers.AmortizedLikelihood method)
(bayesflow.amortizers.AmortizedPosterior method)
check_posterior_prior_shapes() (in module bayesflow.helper_functions)
compute_loss() (bayesflow.amortizers.AmortizedLikelihood method)
(bayesflow.amortizers.AmortizedModelComparison method)
(bayesflow.amortizers.AmortizedPosterior method)
(bayesflow.amortizers.AmortizedPosteriorLikelihood method)
(bayesflow.amortizers.AmortizedTarget method)
ConfigurationError
configurator() (in module bayesflow.benchmarks.bernoulli_glm)
(in module bayesflow.benchmarks.bernoulli_glm_raw)
(in module bayesflow.benchmarks.gaussian_linear)
(in module bayesflow.benchmarks.gaussian_linear_uniform)
(in module bayesflow.benchmarks.gaussian_mixture)
(in module bayesflow.benchmarks.lotka_volterra)
(in module bayesflow.benchmarks.sir)
(in module bayesflow.benchmarks.slcp)
(in module bayesflow.benchmarks.slcp_distractors)
(in module bayesflow.benchmarks.two_moons)
ContextGenerator (class in bayesflow.simulation)
create_config() (bayesflow.inference_networks.EvidentialNetwork class method)
(bayesflow.inference_networks.InvertibleNetwork class method)
D
DefaultJointConfigurator (class in bayesflow.configuration)
DefaultLikelihoodConfigurator (class in bayesflow.configuration)
DefaultModelComparisonConfigurator (class in bayesflow.configuration)
DefaultPosteriorConfigurator (class in bayesflow.configuration)
DenseCouplingNet (class in bayesflow.helper_networks)
diagnose_latent2d() (bayesflow.trainers.Trainer method)
diagnose_sbc_histograms() (bayesflow.trainers.Trainer method)
draw_mixture_student_t() (in module bayesflow.benchmarks.slcp_distractors)
E
EquivariantModule (class in bayesflow.helper_networks)
estimate_means_and_stds() (bayesflow.simulation.Prior method)
evidence() (bayesflow.amortizers.AmortizedModelComparison method)
(bayesflow.inference_networks.EvidentialNetwork method)
EvidentialNetwork (class in bayesflow.inference_networks)
expected_calibration_error() (in module bayesflow.computational_utilities)
extract_current_lr() (in module bayesflow.helper_functions)
F
file_name (bayesflow.helper_classes.LossHistory attribute)
(bayesflow.helper_classes.RegressionLRAdjuster attribute)
(bayesflow.helper_classes.SimulationMemory attribute)
flush() (bayesflow.helper_classes.LossHistory method)
format_loss_string() (in module bayesflow.helper_functions)
forward() (bayesflow.coupling_networks.AffineCouplingLayer method)
(bayesflow.inference_networks.InvertibleNetwork method)
G
gaussian_kernel_matrix() (in module bayesflow.computational_utilities)
generate_context() (bayesflow.simulation.ContextGenerator method)
GenerativeModel (class in bayesflow.simulation)
get_benchmark_module() (in module bayesflow.benchmarks)
get_config() (bayesflow.wrappers.SpectralNormalization method)
get_copy() (bayesflow.helper_classes.LossHistory method)
get_coverage_probs() (in module bayesflow.computational_utilities)
get_memory() (bayesflow.helper_classes.SimulationMemory method)
get_plottable() (bayesflow.helper_classes.LossHistory method)
get_random_student_t() (in module bayesflow.benchmarks.slcp_distractors)
get_running_losses() (bayesflow.helper_classes.LossHistory method)
get_slope() (bayesflow.helper_classes.RegressionLRAdjuster method)
grad() (bayesflow.mcmc.PyMCSurrogateLikelihood method)
I
InferenceError
InvariantModule (class in bayesflow.helper_networks)
InvariantNetwork (class in bayesflow.summary_networks)
inverse() (bayesflow.coupling_networks.AffineCouplingLayer method)
(bayesflow.inference_networks.InvertibleNetwork method)
inverse_multiquadratic_kernel_matrix() (in module bayesflow.computational_utilities)
InvertibleNetwork (class in bayesflow.inference_networks)
is_full() (bayesflow.helper_classes.SimulationMemory method)
itypes (bayesflow.mcmc.PyMCSurrogateLikelihood attribute)
K
kl_dirichlet() (in module bayesflow.losses)
kl_latent_space_gaussian() (in module bayesflow.losses)
kl_latent_space_student() (in module bayesflow.losses)
L
load_from_file() (bayesflow.helper_classes.LossHistory method)
(bayesflow.helper_classes.RegressionLRAdjuster method)
(bayesflow.helper_classes.SimulationMemory method)
load_pretrained_network() (bayesflow.trainers.Trainer method)
log_likelihood() (bayesflow.amortizers.AmortizedLikelihood method)
(bayesflow.amortizers.AmortizedPosteriorLikelihood method)
(bayesflow.mcmc.MCMCSurrogateLikelihood method)
log_likelihood_grad() (bayesflow.mcmc.MCMCSurrogateLikelihood method)
log_loss() (in module bayesflow.losses)
log_posterior() (bayesflow.amortizers.AmortizedPosterior method)
(bayesflow.amortizers.AmortizedPosteriorLikelihood method)
log_prob() (bayesflow.amortizers.AmortizedLikelihood method)
(bayesflow.amortizers.AmortizedPosterior method)
(bayesflow.amortizers.AmortizedPosteriorLikelihood method)
(bayesflow.amortizers.AmortizedTarget method)
logpdf() (bayesflow.simulation.Prior method)
LossError
LossHistory (class in bayesflow.helper_classes)
M
maximum_mean_discrepancy() (in module bayesflow.computational_utilities)
MCMCSurrogateLikelihood (class in bayesflow.mcmc)
MemoryReplayBuffer (class in bayesflow.helper_classes)
merge_left_into_right() (in module bayesflow.helper_functions)
MetaDictSetting (class in bayesflow.default_settings)
mmd_kernel() (in module bayesflow.computational_utilities)
mmd_kernel_unbiased() (in module bayesflow.computational_utilities)
mmd_summary_space() (in module bayesflow.losses)
module
bayesflow
bayesflow.amortizers
bayesflow.benchmarks
bayesflow.benchmarks.bernoulli_glm
bayesflow.benchmarks.bernoulli_glm_raw
bayesflow.benchmarks.gaussian_linear
bayesflow.benchmarks.gaussian_linear_uniform
bayesflow.benchmarks.gaussian_mixture
bayesflow.benchmarks.lotka_volterra
bayesflow.benchmarks.sir
bayesflow.benchmarks.slcp
bayesflow.benchmarks.slcp_distractors
bayesflow.benchmarks.two_moons
bayesflow.computational_utilities
bayesflow.configuration
bayesflow.coupling_networks
bayesflow.default_settings
bayesflow.diagnostics
bayesflow.exceptions
bayesflow.helper_classes
bayesflow.helper_functions
bayesflow.helper_networks
bayesflow.inference_networks
bayesflow.losses
bayesflow.mcmc
bayesflow.networks
bayesflow.simulation
bayesflow.summary_networks
bayesflow.trainers
bayesflow.version
bayesflow.wrappers
MultiConv1D (class in bayesflow.helper_networks)
MultiGenerativeModel (class in bayesflow.simulation)
N
non_batchable_context() (bayesflow.simulation.ContextGenerator method)
normalize_weights() (bayesflow.wrappers.SpectralNormalization method)
O
OperationNotSupportedError
otypes (bayesflow.mcmc.PyMCSurrogateLikelihood attribute)
P
perform() (bayesflow.mcmc.PyMCSurrogateLikelihood method)
Permutation (class in bayesflow.helper_networks)
plot_calibration_curves() (in module bayesflow.diagnostics)
plot_latent_space_2d() (in module bayesflow.diagnostics)
plot_losses() (in module bayesflow.diagnostics)
plot_posterior_2d() (in module bayesflow.diagnostics)
plot_prior2d() (bayesflow.simulation.Prior method)
(in module bayesflow.diagnostics)
plot_pushforward() (bayesflow.simulation.GenerativeModel method)
plot_recovery() (in module bayesflow.diagnostics)
plot_sbc_ecdf() (in module bayesflow.diagnostics)
plot_sbc_histograms() (in module bayesflow.diagnostics)
presimulate_and_save() (bayesflow.simulation.GenerativeModel method)
Prior (class in bayesflow.simulation)
prior() (in module bayesflow.benchmarks.bernoulli_glm)
(in module bayesflow.benchmarks.bernoulli_glm_raw)
(in module bayesflow.benchmarks.gaussian_linear)
(in module bayesflow.benchmarks.gaussian_linear_uniform)
(in module bayesflow.benchmarks.gaussian_mixture)
(in module bayesflow.benchmarks.lotka_volterra)
(in module bayesflow.benchmarks.sir)
(in module bayesflow.benchmarks.slcp)
(in module bayesflow.benchmarks.slcp_distractors)
(in module bayesflow.benchmarks.two_moons)
PyMCSurrogateLikelihood (class in bayesflow.mcmc)
R
RegressionLRAdjuster (class in bayesflow.helper_classes)
reset() (bayesflow.helper_classes.RegressionLRAdjuster method)
S
sample() (bayesflow.amortizers.AmortizedLikelihood method)
(bayesflow.amortizers.AmortizedModelComparison method)
(bayesflow.amortizers.AmortizedPosterior method)
(bayesflow.amortizers.AmortizedPosteriorLikelihood method)
(bayesflow.amortizers.AmortizedTarget method)
(bayesflow.helper_classes.MemoryReplayBuffer method)
(bayesflow.inference_networks.EvidentialNetwork method)
sample_data() (bayesflow.amortizers.AmortizedPosteriorLikelihood method)
sample_loop() (bayesflow.amortizers.AmortizedLikelihood method)
(bayesflow.amortizers.AmortizedPosterior method)
sample_parameters() (bayesflow.amortizers.AmortizedPosteriorLikelihood method)
save_to_file() (bayesflow.helper_classes.LossHistory method)
(bayesflow.helper_classes.RegressionLRAdjuster method)
(bayesflow.helper_classes.SimulationMemory method)
SequentialNetwork (class in bayesflow.summary_networks)
Setting (class in bayesflow.default_settings)
ShapeError
SimulationDataset (class in bayesflow.helper_classes)
SimulationError
SimulationMemory (class in bayesflow.helper_classes)
Simulator (class in bayesflow.simulation)
simulator() (in module bayesflow.benchmarks.bernoulli_glm)
(in module bayesflow.benchmarks.bernoulli_glm_raw)
(in module bayesflow.benchmarks.gaussian_linear)
(in module bayesflow.benchmarks.gaussian_linear_uniform)
(in module bayesflow.benchmarks.gaussian_mixture)
(in module bayesflow.benchmarks.lotka_volterra)
(in module bayesflow.benchmarks.sir)
(in module bayesflow.benchmarks.slcp)
(in module bayesflow.benchmarks.slcp_distractors)
(in module bayesflow.benchmarks.two_moons)
simultaneous_ecdf_bands() (in module bayesflow.computational_utilities)
SingleModelAmortizer (class in bayesflow.amortizers)
SpectralNormalization (class in bayesflow.wrappers)
SplitNetwork (class in bayesflow.summary_networks)
start_new_run() (bayesflow.helper_classes.LossHistory method)
store() (bayesflow.helper_classes.MemoryReplayBuffer method)
(bayesflow.helper_classes.SimulationMemory method)
SummaryStatsError
T
total_loss (bayesflow.helper_classes.LossHistory property)
train_experience_replay() (bayesflow.trainers.Trainer method)
train_from_presimulation() (bayesflow.trainers.Trainer method)
train_offline() (bayesflow.trainers.Trainer method)
train_online() (bayesflow.trainers.Trainer method)
train_rounds() (bayesflow.trainers.Trainer method)
Trainer (class in bayesflow.trainers)
U
uncertainty_score() (bayesflow.amortizers.AmortizedModelComparison method)