Index Symbols | A | B | C | D | E | F | H | I | L | M | N | O | P | S | T | V | X Symbols (G, S, T, *E) convention A Amortized analytical_log_likelihood() (in module setu) analytical_log_ratio() (in module setu) analytical_marginal_log_prob() (in module setu) appears_discrete (setu.ValidationDataset property) B best_epoch (setu.DiscreteNLETrainingResult attribute) (setu.MixedNLETrainingResult attribute) (setu.NRETrainingResult attribute) (setu.TrainingResult attribute) broadcast_conditions() (in module setu) C C2ST c2st() (in module setu) classifier (setu.NRE attribute) compute_log_likelihood() (in module setu) condition_dim (setu.NLE attribute) (setu.NRE attribute) (setu.SimulationDataset property) (setu.ValidationDataset property) condition_transform (setu.NLE attribute) (setu.NRE attribute) Conditions conditions (setu.SimulationDataset attribute) (setu.ValidationDataset attribute) create_discrete_nle() (in module setu) create_mixed_nle() (in module setu) create_nle() (in module setu) create_nre() (in module setu) D discrete_nle (setu.DiscreteNLETrainingResult attribute) discrete_nle_to_numpyro() (in module setu) discrete_nle_to_pymc() (in module setu) DiscreteNLE (class in setu) DiscreteNLETrainingResult (class in setu) E Estimator estimator (setu.MixedNLETrainingResult property) (setu.NRETrainingResult property) (setu.TrainingResult property) Export F fit() (setu.Standardizer class method) fit_discrete_nle() (in module setu) fit_mixed_nle() (in module setu) fit_nle() (in module setu) fit_nre() (in module setu) flow (setu.NLE attribute) H has_conditions (setu.ValidationDataset property) I inverse() (setu.Standardizer method) is_multitrial (setu.ValidationDataset property) L linear_gaussian() (in module setu) load() (setu.SimulationDataset class method) load_estimator() (in module setu) log_prob() (setu.DiscreteNLE method) (setu.MixedNLE method) (setu.NLE method) log_ratio() (setu.NRE method) losses (setu.DiscreteNLETrainingResult attribute) (setu.MixedNLETrainingResult attribute) (setu.NRETrainingResult attribute) (setu.TrainingResult attribute) M mean (setu.Standardizer attribute) mixed_nle (setu.MixedNLETrainingResult attribute) mixed_nle_to_pymc() (in module setu) MixedNLE (class in setu) MixedNLESearchSpace (class in setu) MixedNLETrainingResult (class in setu) mmd() (in module setu) N n (setu.ValidationDataset property) n_trials (setu.ValidationDataset property) NLE (class in setu) nle (setu.TrainingResult attribute) NLESearchSpace (class in setu) NRE (class in setu) nre (setu.NRETrainingResult attribute) nre_to_numpyro() (in module setu) nre_to_numpyro_hierarchical() (in module setu) nre_to_pymc() (in module setu) nre_to_pymc_hierarchical() (in module setu) NRESearchSpace (class in setu) NRETrainingResult (class in setu) O one_hot() (in module setu) P posterior_predictive() (in module setu) PPL prior_predictive() (in module setu) PriorPredictiveResult (class in setu) S sample() (setu.DiscreteNLE method) (setu.MixedNLE method) (setu.NLE method) sample_prior() (in module setu) save() (setu.SimulationDataset method) save_estimator() (in module setu) SBC Simulate → Train → Validate → Export simulate_dataset() (in module setu) SimulationDataset (class in setu) sliced_wasserstein() (in module setu) split() (setu.SimulationDataset method) Standardizer (class in setu) std (setu.Standardizer attribute) Subjects / Groups summary() (setu.ValidationResult method) T theta (setu.SimulationDataset attribute) (setu.ValidationDataset attribute) theta_dim (setu.SimulationDataset property) (setu.ValidationDataset property) theta_embedding (setu.NRE attribute) theta_transform (setu.NLE attribute) (setu.NRE attribute) to_dict() (setu.ValidationResult method) to_numpyro() (in module setu) (setu.DiscreteNLE method) (setu.MixedNLE method) (setu.NLE method) (setu.NRE method) to_numpyro_hierarchical() (in module setu) (setu.DiscreteNLE method) (setu.MixedNLE method) (setu.NLE method) (setu.NRE method) to_pymc() (in module setu) (setu.DiscreteNLE method) (setu.MixedNLE method) (setu.NLE method) (setu.NRE method) to_pymc_hierarchical() (in module setu) (setu.DiscreteNLE method) (setu.MixedNLE method) (setu.NLE method) (setu.NRE method) total_variation() (in module setu) trained (setu.NRE attribute) TrainingResult (class in setu) transform() (setu.Standardizer method) Trials tune_mixed_nle() (in module setu) tune_nle() (in module setu) tune_nre() (in module setu) TuningResult (class in setu) V val_losses (setu.DiscreteNLETrainingResult attribute) (setu.MixedNLETrainingResult attribute) (setu.NRETrainingResult attribute) (setu.TrainingResult attribute) validate() (setu.DiscreteNLETrainingResult method) (setu.MixedNLETrainingResult method) (setu.NRETrainingResult method) (setu.TrainingResult method) validate_estimator() (in module setu) validate_nle() (in module setu) Validation ValidationConfig (class in setu) ValidationDataset (class in setu) ValidationError ValidationResult (class in setu) X x (setu.SimulationDataset attribute) (setu.ValidationDataset attribute) x_dim (setu.NLE attribute) (setu.NRE attribute) (setu.SimulationDataset property) (setu.ValidationDataset property) x_embedding (setu.NRE attribute) x_transform (setu.NLE attribute) (setu.NRE attribute)
