Index

A

activation (nnpd.nre.models.ResidualBlock attribute) activation() (in module nnpd.nre.models) allocate() (nnpd.core.storage.Writer method) Analysis (class in nnpd.core.api) analysis (nnpd.core.api.Context attribute) ANALYSIS_FILE (in module nnpd.core.runner) analysis_settings (nnpd.core.api.Context attribute)

analyze_run() (in module nnpd.core.runner) array() (nnpd.core.storage.Artifact method) (nnpd.core.storage.Writer method) Artifact (class in nnpd.core.storage) artifacts (nnpd.core.api.Context attribute) as_dict() (nnpd.core.runner.Job method) at() (in module nnpd.core.settings)

B

balanced_pairs() (in module nnpd.nre.data) barrier() (nnpd.core.runtime.Runtime method) bias() (in module gaussian.metrics) body (nnpd.nre.models.ResidualBlock attribute)

broadcast() (nnpd.core.runtime.Runtime method) build (nnpd.core.api.Product attribute) build_model() (gaussian.experiment.GaussianExperiment method) (nnpd.core.api.Experiment method) build_network() (in module nnpd.nre.models)

C

candidate_layout() (in module gaussian.evaluation) candidate_settings() (in module gaussian.evaluation) candidates() (in module gaussian.evaluation) canonical() (in module nnpd.core.settings) cartesian() (in module gaussian.evaluation) changed (nnpd.core.runner.Job attribute) (nnpd.core.settings.Variant attribute) check_feasible() (in module nnpd.core.runner)

Choice (class in nnpd.core.settings) classification() (in module nnpd.nre.training) classifier() (in module gaussian.metrics) close() (nnpd.core.runtime.Runtime method) comparison_plot() (in module nnpd.results) compute (nnpd.core.api.Metric attribute) Context (class in nnpd.core.api) coverage() (in module gaussian.metrics) cpu_threads (nnpd.core.runtime.Runtime attribute)

D

data_settings() (in module gaussian.sampling) ddp (nnpd.core.runtime.Runtime attribute) default_profile() (in module nnpd.core.settings) dependencies() (nnpd.core.api.Context method)

deterministic (nnpd.core.runtime.Runtime attribute) device (nnpd.core.runtime.Runtime attribute) digest() (in module nnpd.core.settings) draw (nnpd.core.api.Plot attribute)

E

ensemble_log_ratio() (in module nnpd.nre.inference) estimate() (gaussian.analysis.GaussianAnalysis method) (gaussian.experiment.GaussianExperiment method) (nnpd.core.api.Analysis method) (nnpd.core.api.Experiment method) exact_reference() (in module gaussian.metrics) execute() (in module nnpd.core.runner)

existing() (nnpd.core.storage.Store method) expand_jobs() (in module nnpd.core.runner) expand_sweep() (in module nnpd.core.settings) Experiment (class in nnpd.core.api) experiment (nnpd.core.api.Context attribute) export_csv() (in module nnpd.results) ExtendedAnalysis (class in gaussian.extensions)

F

families (nnpd.nre.distributions.IndependentPrior attribute) file_hash() (in module nnpd.core.storage) finish() (nnpd.core.storage.Writer method) fit_binary() (in module nnpd.nre.training)

fixed_mean (gaussian.problem.GaussianProblem attribute) fixed_std (gaussian.problem.GaussianProblem attribute) forward() (nnpd.nre.models.MLP method) (nnpd.nre.models.ResidualBlock method) (nnpd.nre.models.ResidualMLP method)

G

gaussian module gaussian.analysis module gaussian.diagnostics module gaussian.evaluation module gaussian.experiment module gaussian.extensions module

gaussian.metrics module gaussian.plots module gaussian.problem module gaussian.sampling module GaussianAnalysis (class in gaussian.analysis) GaussianExperiment (class in gaussian.experiment) GaussianProblem (class in gaussian.problem) get() (nnpd.core.storage.Store method) grid_axis() (in module nnpd.nre.distributions)

H

high (nnpd.nre.distributions.Parameter attribute)

I

id (nnpd.core.runner.Job property) (nnpd.core.settings.Variant property) implementation_hash() (in module nnpd.core.api) IndependentPrior (class in nnpd.nre.distributions) indices (gaussian.problem.GaussianProblem attribute)

infeasible() (in module nnpd.core.runner) inference() (in module gaussian.evaluation) (in module gaussian.plots) inference_observations() (in module gaussian.evaluation) inference_settings() (in module gaussian.evaluation)

J

Job (class in nnpd.core.runner)

json() (nnpd.core.storage.Artifact method) (nnpd.core.storage.Writer method)

K

KEEP_SETTINGS (in module nnpd.core.runner)

key (nnpd.core.storage.Artifact attribute) kinds (nnpd.nre.distributions.IndependentPrior attribute)

L

layers (nnpd.nre.models.MLP attribute) (nnpd.nre.models.ResidualMLP attribute) leader (nnpd.core.runtime.Runtime attribute) load_analysis() (in module nnpd.core.api) load_experiment() (in module nnpd.core.api) load_settings() (in module nnpd.core.settings)

local_rank (nnpd.core.runtime.Runtime attribute) lock() (nnpd.core.storage.Store method) log_likelihood() (gaussian.problem.GaussianProblem method) (nnpd.nre.distributions.Simulator method) log_prob() (nnpd.nre.distributions.IndependentPrior method) (nnpd.nre.distributions.Prior method) low (nnpd.nre.distributions.Parameter attribute)

M

main() (in module nnpd.cli) make_mlp() (in module nnpd.nre.models) make_prior() (gaussian.experiment.GaussianExperiment method) (nnpd.core.api.Experiment method) make_problem() (gaussian.experiment.GaussianExperiment method) (nnpd.core.api.Experiment method) make_residual() (in module nnpd.nre.models) manifest (nnpd.core.storage.Artifact attribute) measure (nnpd.nre.distributions.Prior property) median_absolute_bias() (in module gaussian.extensions) member (nnpd.core.api.Context attribute) (nnpd.core.runner.Job attribute) members() (gaussian.experiment.GaussianExperiment method) (nnpd.core.api.Experiment method) metadata (nnpd.core.storage.Artifact attribute) Metric (class in nnpd.core.api) metrics() (gaussian.analysis.GaussianAnalysis method) (gaussian.extensions.ExtendedAnalysis method) (nnpd.core.api.Analysis method) MLP (class in nnpd.nre.models) model (nnpd.core.api.Context property) model_evaluation_settings() (in module gaussian.diagnostics) model_seed() (nnpd.core.api.Experiment method) module gaussian gaussian.analysis gaussian.diagnostics gaussian.evaluation gaussian.experiment gaussian.extensions gaussian.metrics gaussian.plots gaussian.problem gaussian.sampling nnpd nnpd.cli nnpd.core nnpd.core.api nnpd.core.runner nnpd.core.runtime nnpd.core.settings nnpd.core.storage nnpd.nre nnpd.nre.data nnpd.nre.distributions nnpd.nre.inference nnpd.nre.models nnpd.nre.training nnpd.results

N

name (gaussian.analysis.GaussianAnalysis attribute) (gaussian.experiment.GaussianExperiment attribute) (nnpd.core.api.Analysis attribute) (nnpd.core.api.Experiment attribute) (nnpd.nre.distributions.Parameter attribute) names (gaussian.problem.GaussianProblem attribute) needs (nnpd.core.api.Metric attribute) (nnpd.core.api.Plot attribute) (nnpd.core.api.Product attribute) NETWORKS (in module nnpd.nre.models) nnpd module nnpd.cli module nnpd.core module nnpd.core.api module nnpd.core.runner module nnpd.core.runtime module

nnpd.core.settings module nnpd.core.storage module nnpd.nre module nnpd.nre.data module nnpd.nre.distributions module nnpd.nre.inference module nnpd.nre.models module nnpd.nre.training module nnpd.results module normalization() (in module gaussian.metrics) normalization_observations() (in module gaussian.diagnostics) normalization_predictions() (in module gaussian.diagnostics) normalization_settings() (in module gaussian.diagnostics) normalized_mass() (in module nnpd.nre.inference)

O

observation_dim (gaussian.problem.GaussianProblem attribute) (nnpd.nre.distributions.Simulator attribute)

observation_histogram() (in module gaussian.extensions) options (nnpd.nre.distributions.Parameter attribute)

P

pairwise() (in module gaussian.metrics) (in module gaussian.plots) parallel (nnpd.core.runtime.Runtime attribute) Parameter (class in nnpd.nre.distributions) parameter_count() (in module gaussian.extensions) parameters (gaussian.problem.GaussianProblem property) (nnpd.nre.distributions.IndependentPrior attribute) (nnpd.nre.distributions.Prior attribute) (nnpd.nre.distributions.Simulator attribute) path (nnpd.core.storage.Artifact attribute) (nnpd.core.storage.Writer attribute) path() (nnpd.core.storage.Store method) plan() (in module nnpd.core.runner)

Plot (class in nnpd.core.api) plots() (gaussian.analysis.GaussianAnalysis method) (gaussian.extensions.ExtendedAnalysis method) (nnpd.core.api.Analysis method) posterior() (in module gaussian.metrics) predict_logits() (in module nnpd.nre.training) Prior (class in nnpd.nre.distributions) prior (nnpd.core.api.Context attribute) prior() (in module gaussian.plots) problem (nnpd.core.api.Context attribute) Product (class in nnpd.core.api) products() (gaussian.analysis.GaussianAnalysis method) (nnpd.core.api.Analysis method)

R

rank (nnpd.core.runtime.Runtime attribute) require() (nnpd.core.api.Context method) ResidualBlock (class in nnpd.nre.models) ResidualMLP (class in nnpd.nre.models) resolution() (in module gaussian.metrics) restore() (in module nnpd.core.runner) reweighting() (in module gaussian.metrics) (in module gaussian.plots)

reweighting_distances() (in module gaussian.diagnostics) rng() (nnpd.core.api.Context method) root (nnpd.core.storage.Store attribute) run_dir (nnpd.core.api.Context attribute) runs() (in module nnpd.results) Runtime (class in nnpd.core.runtime) runtime (nnpd.core.api.Context attribute)

S

safe_name() (in module nnpd.core.storage) sample() (gaussian.problem.GaussianProblem method) (nnpd.nre.distributions.IndependentPrior method) (nnpd.nre.distributions.Prior method) (nnpd.nre.distributions.Simulator method) sample_training() (gaussian.experiment.GaussianExperiment method) (nnpd.core.api.Experiment method) save_references() (in module nnpd.core.runner) seed() (nnpd.core.api.Context method) seed_all() (in module nnpd.core.runtime) select() (in module nnpd.core.settings) settings (gaussian.problem.GaussianProblem attribute) (nnpd.core.api.Product attribute) (nnpd.core.runner.Job attribute) (nnpd.core.settings.Variant attribute) showcase() (in module gaussian.plots) showcase_observations() (in module gaussian.diagnostics)

showcase_predictions() (in module gaussian.diagnostics) signature() (gaussian.experiment.GaussianExperiment method) (nnpd.core.api.Experiment method) Simulator (class in nnpd.nre.distributions) single() (in module nnpd.core.settings) sliced_wasserstein() (in module gaussian.diagnostics) sobol_truth_count() (in module gaussian.evaluation) sources (nnpd.core.api.Product attribute) sources() (gaussian.experiment.GaussianExperiment method) (nnpd.core.api.Experiment method) STAGES (in module nnpd.core.runner) state_dict() (nnpd.core.storage.Artifact method) Store (class in nnpd.core.storage) store (nnpd.core.api.Context attribute) summarize_density() (in module nnpd.nre.inference) support_axes (nnpd.nre.distributions.IndependentPrior property) (nnpd.nre.distributions.Prior property)

T

test_predictions() (in module gaussian.diagnostics) train() (gaussian.experiment.GaussianExperiment method) (nnpd.core.api.Experiment method) training() (in module gaussian.plots) training_data() (in module gaussian.sampling)

TRAINING_FILE (in module nnpd.core.runner) training_settings (nnpd.core.api.Context attribute) training_signature (nnpd.core.runtime.Runtime property) transaction() (nnpd.core.storage.Store method) truth_layout() (in module gaussian.evaluation) truth_settings() (in module gaussian.evaluation)

U

unit_sobol() (in module gaussian.evaluation)

unpack() (gaussian.problem.GaussianProblem method) utc_now() (in module nnpd.core.storage)

V

validate() (gaussian.analysis.GaussianAnalysis method) (gaussian.experiment.GaussianExperiment method) (nnpd.core.api.Analysis method) (nnpd.core.api.Experiment method) value (nnpd.core.settings.Variant attribute) value_at() (in module nnpd.results) values (nnpd.core.settings.Choice attribute) Variant (class in nnpd.core.settings)

verification_observations() (in module gaussian.diagnostics) verification_predictions() (in module gaussian.diagnostics) verification_settings() (in module gaussian.diagnostics) verify() (nnpd.core.storage.Artifact method) verify_store() (in module nnpd.core.runner) version (gaussian.experiment.GaussianExperiment attribute) (nnpd.core.api.Experiment attribute) (nnpd.core.api.Product attribute)

W

weights() (nnpd.core.storage.Writer method) width() (in module gaussian.metrics) workload (nnpd.core.runner.Job attribute)

world_size (nnpd.core.runtime.Runtime attribute) write_json() (in module nnpd.core.storage) Writer (class in nnpd.core.storage)