Index A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W A acceptance_prob (liesel.goose.DefaultTransitionInfo attribute) (liesel.goose.TransitionInfo attribute) acceptance_prob_df() (liesel.goose.Summary method) add() (liesel.model.GraphBuilder method) add_adaptation() (liesel.goose.EngineBuilder method) add_burnin() (liesel.goose.EngineBuilder method) add_groups() (liesel.model.GraphBuilder method) add_inputs() (liesel.model.Node method) add_kernel() (liesel.goose.EngineBuilder method) add_posterior() (liesel.goose.EngineBuilder method) add_quantity_generator() (liesel.goose.EngineBuilder method) advance_time() (liesel.goose.EpochState method) aggregate_diagnostics() (liesel.goose.SamplesSummary method) (liesel.goose.Summary method) all_input_nodes() (liesel.model.Dist method) (liesel.model.Node method) (liesel.model.Var method) all_input_vars() (liesel.model.Var method) all_output_nodes() (liesel.model.Node method) (liesel.model.Var method) all_output_vars() (liesel.model.Var method) append_epoch() (liesel.goose.Engine method) append_epochs() (liesel.goose.EngineBuilder method) apply_jitter() (liesel.goose.MCMCSpec method) at (liesel.model.Dist property) atol (liesel.goose.Stopper attribute) auto_transform (liesel.model.Var property) auto_update (liesel.model.Model property) B basis_matrix() (in module liesel.contrib.splines) biject() (liesel.model.Var method) biject_parameters() (liesel.model.Dist method) bijected_var (liesel.model.Var property) build() (liesel.goose.EngineBuilder method) build_model() (liesel.model.GraphBuilder method) BURNIN (liesel.goose.EpochType attribute) C Calc (class in liesel.model) clear_state() (liesel.model.Node method) config (liesel.goose.EpochState attribute) (liesel.goose.SamplesSummary attribute) (liesel.goose.Summary attribute) continue_() (liesel.goose.Stopper method) convert_dtype() (liesel.model.GraphBuilder method) convert_value() (liesel.model.Node static method) (liesel.model.Var static method) copy() (liesel.model.GraphBuilder method) (liesel.model.Model method) copy_nodes_and_vars() (liesel.model.Model method) copy_vars() (liesel.model.Model method) count_node_names() (liesel.model.GraphBuilder method) count_var_names() (liesel.model.GraphBuilder method) cross_entropy() (liesel.distributions.GaussianCopula method) (liesel.distributions.MultivariateNormalDegenerate method) current_epoch (liesel.goose.Engine property) D da_finalize() (in module liesel.goose.da) da_init() (in module liesel.goose.da) da_step() (in module liesel.goose.da) DAKernelState (class in liesel.goose.da) DataclassInterface (class in liesel.goose) DefaultTransitionInfo (class in liesel.goose) DefaultTuningInfo (class in liesel.goose) diagnose() (liesel.model.Model method) (liesel.model.Var method) DictInterface (class in liesel.goose) Dist (class in liesel.model) dist_node (liesel.model.Var property) distribution (liesel.model.Dist property) duration (liesel.goose.EpochConfig attribute) E eig (liesel.distributions.MultivariateNormalDegenerate property) end_epoch() (liesel.goose.GibbsKernel method) (liesel.goose.HMCKernel method) (liesel.goose.IWLSKernel method) (liesel.goose.Kernel method) (liesel.goose.MHKernel method) (liesel.goose.NUTSKernel method) (liesel.goose.RWKernel method) end_warmup() (liesel.goose.GibbsKernel method) (liesel.goose.HMCKernel method) (liesel.goose.IWLSKernel method) (liesel.goose.Kernel method) (liesel.goose.MHKernel method) (liesel.goose.NUTSKernel method) (liesel.goose.RWKernel method) Engine (class in liesel.goose) engine_seed (liesel.goose.EngineBuilder property) EngineBuilder (class in liesel.goose) ensure_name() (liesel.model.Node method) (liesel.model.Var method) EpochConfig (class in liesel.goose) epochs (liesel.goose.EngineBuilder property) EpochState (class in liesel.goose) EpochType (class in liesel.goose) equidistant_knots() (in module liesel.contrib.splines) error_book (liesel.goose.GibbsKernel attribute) (liesel.goose.HMCKernel attribute) (liesel.goose.IWLSKernel attribute) (liesel.goose.Kernel attribute) (liesel.goose.MHKernel attribute) (liesel.goose.NUTSKernel attribute) (liesel.goose.RWKernel attribute) error_code (liesel.goose.DefaultTransitionInfo attribute) (liesel.goose.DefaultTuningInfo attribute) (liesel.goose.TransitionInfo attribute) (liesel.goose.TuningInfo attribute) (liesel.goose.WarmupOutcome attribute) error_df() (liesel.goose.Summary method) error_sum (liesel.goose.da.DAKernelState attribute) error_summary (liesel.goose.Summary attribute) extract_position() (liesel.experimental.pymc.PyMCInterface method) (liesel.goose.DataclassInterface method) (liesel.goose.DictInterface method) (liesel.goose.LieselInterface method) (liesel.goose.NamedTupleInterface method) (liesel.model.Model method) F fallback_chol_info (liesel.goose.IWLSKernel property) FAST_ADAPTATION (liesel.goose.EpochType attribute) find_default_parameter_bijectors() (liesel.model.Dist method) flag_outdated() (liesel.model.Node method) (liesel.model.Value method) FlatLogProb (class in liesel.model) from_array() (liesel.goose.SamplesSummary class method) from_penalty() (liesel.distributions.MultivariateNormalDegenerate class method) from_penalty_smooth() (liesel.distributions.MultivariateNormalDegenerate class method) full_model_states (liesel.goose.SamplingResults attribute) function (liesel.model.Calc property) G GaussianCopula (class in liesel.distributions) generated_quantities (liesel.goose.SamplingResults attribute) get_adaptation_samples() (liesel.goose.SamplingResults method) get_engine_builder() (liesel.goose.LieselMCMC method) get_error_log() (liesel.goose.SamplingResults method) get_inference() (liesel.model.Var method) get_initial_state() (liesel.experimental.pymc.PyMCInterface method) get_jitter_functions() (liesel.goose.LieselMCMC method) get_kernel_groups() (liesel.goose.LieselMCMC method) get_kernel_list() (liesel.goose.LieselMCMC method) get_kernels_by_pos_key() (liesel.goose.SamplingResults method) get_pos_keys_by_kernels() (liesel.goose.SamplingResults method) get_posterior_acceptance_probabilities() (liesel.goose.SamplingResults method) get_posterior_position_moved() (liesel.goose.SamplingResults method) get_posterior_samples() (liesel.goose.SamplingResults method) get_posterior_transition_infos() (liesel.goose.SamplingResults method) get_results() (liesel.goose.Engine method) get_samples() (liesel.goose.SamplingResults method) get_spec() (liesel.goose.LieselMCMC method) get_tuning_times() (liesel.goose.SamplingResults method) get_warmup_acceptance_probabilities() (liesel.goose.SamplingResults method) get_warmup_kernel_states() (liesel.goose.SamplingResults method) get_warmup_position_moved() (liesel.goose.SamplingResults method) get_warmup_samples() (liesel.goose.SamplingResults method) get_warmup_transition_infos() (liesel.goose.SamplingResults method) GibbsKernel (class in liesel.goose) grad() (liesel.model.FlatLogProb method) (liesel.model.LogProb method) GraphBuilder (class in liesel.model) groups (liesel.model.Node property) (liesel.model.Var property) groups() (liesel.model.GraphBuilder method) (liesel.model.Model method) H has_dist (liesel.model.Var property) has_model() (liesel.goose.Kernel method) (liesel.goose.ModelMixin method) hessian() (liesel.model.FlatLogProb method) (liesel.model.LogProb method) history (liesel.goose.OptimResult attribute) history_to_df() (in module liesel.goose) HMCKernel (class in liesel.goose) I identifier (liesel.goose.GibbsKernel attribute) (liesel.goose.HMCKernel attribute) (liesel.goose.IWLSKernel attribute) (liesel.goose.Kernel attribute) (liesel.goose.MHKernel attribute) (liesel.goose.NUTSKernel attribute) (liesel.goose.RWKernel attribute) inference (liesel.model.Var attribute) info (liesel.goose.TransitionOutcome attribute) (liesel.goose.TuningOutcome attribute) (liesel.model.Var attribute) init_dist() (liesel.model.Dist method) init_state() (liesel.goose.GibbsKernel method) (liesel.goose.HMCKernel method) (liesel.goose.IWLSKernel method) (liesel.goose.Kernel method) (liesel.goose.MHKernel method) (liesel.goose.NUTSKernel method) (liesel.goose.RWKernel method) INITIAL_VALUES (liesel.goose.EpochType attribute) InputGroup (class in liesel.model) inputs (liesel.model.Node property) is_adaptation() (liesel.goose.EpochType static method) is_sampling_done() (liesel.goose.Engine method) is_warmup() (liesel.goose.EpochType static method) iteration (liesel.goose.OptimResult attribute) iteration_best (liesel.goose.OptimResult attribute) IWLSKernel (class in liesel.goose) J jitter_dist (liesel.goose.MCMCSpec attribute) jitter_fns (liesel.goose.EngineBuilder property) jitter_method (liesel.goose.MCMCSpec attribute) K Kernel (class in liesel.goose) kernel (liesel.goose.MCMCSpec attribute) kernel_classes (liesel.goose.SamplingResults attribute) kernel_group (liesel.goose.MCMCSpec attribute) kernel_kwargs (liesel.goose.MCMCSpec attribute) kernel_state (liesel.goose.TransitionOutcome attribute) (liesel.goose.TuningOutcome attribute) (liesel.goose.WarmupOutcome attribute) kernel_states (liesel.goose.SamplingResults attribute) kernels (liesel.goose.EngineBuilder property) kernels_by_pos_key (liesel.goose.SamplingResults attribute) (liesel.goose.Summary attribute) kl_divergence() (liesel.distributions.GaussianCopula method) (liesel.distributions.MultivariateNormalDegenerate method) kwinputs (liesel.model.Node property) L liesel.experimental module liesel.experimental.arviz module liesel.experimental.pymc module liesel.goose.da module liesel.goose.mm module liesel_version (liesel.goose.Summary attribute) LieselInterface (class in liesel.goose) LieselMCMC (class in liesel.goose) loc (liesel.distributions.MultivariateNormalDegenerate property) log_avg_step_size (liesel.goose.da.DAKernelState attribute) log_correction (liesel.goose.MHProposal attribute) log_lik (liesel.model.Model property) log_lik_node (liesel.model.GraphBuilder property) log_pdet (liesel.distributions.MultivariateNormalDegenerate property) log_prior (liesel.model.Model property) log_prior_node (liesel.model.GraphBuilder property) log_prob (liesel.model.Dist property) (liesel.model.Model property) (liesel.model.Var property) log_prob() (liesel.experimental.pymc.PyMCInterface method) (liesel.goose.DataclassInterface method) (liesel.goose.DictInterface method) (liesel.goose.LieselInterface method) (liesel.goose.NamedTupleInterface method) (liesel.model.FlatLogProb method) (liesel.model.LogProb method) log_prob_fn() (liesel.goose.ModelMixin method) log_prob_node (liesel.model.GraphBuilder property) log_prob_pointwise() (in module liesel.model) LogProb (class in liesel.model) loo() (in module liesel.goose) M max_iter (liesel.goose.OptimResult attribute) (liesel.goose.Stopper attribute) MCMCSpec (class in liesel.goose) mh_step() (in module liesel.goose) MHKernel (class in liesel.goose) MHProposal (class in liesel.goose) minimize() (liesel.goose.DefaultTransitionInfo method) (liesel.goose.TransitionInfo method) Model (class in liesel.model) model (liesel.goose.LieselMCMC attribute) (liesel.goose.ModelMixin property) (liesel.model.Node property) (liesel.model.Var property) model_nodes (liesel.model.Model property) model_state (liesel.goose.EngineBuilder property) (liesel.goose.OptimResult attribute) (liesel.goose.TransitionOutcome attribute) ModelMixin (class in liesel.goose) module liesel.experimental liesel.experimental.arviz liesel.experimental.pymc liesel.goose.da liesel.goose.mm monitor (liesel.model.Calc attribute) (liesel.model.Dist attribute) (liesel.model.InputGroup attribute) (liesel.model.Node attribute) (liesel.model.TransientCalc attribute) (liesel.model.TransientDist attribute) (liesel.model.TransientIdentity attribute) (liesel.model.TransientNode attribute) (liesel.model.Value attribute) mu (liesel.goose.da.DAKernelState attribute) MultivariateNormalDegenerate (class in liesel.distributions) N n_train (liesel.goose.OptimResult attribute) n_validation (liesel.goose.OptimResult attribute) name (liesel.model.Node property) (liesel.model.Var property) NamedTupleInterface (class in liesel.goose) needs_history (liesel.goose.GibbsKernel attribute) (liesel.goose.HMCKernel attribute) (liesel.goose.IWLSKernel attribute) (liesel.goose.Kernel attribute) (liesel.goose.MHKernel attribute) (liesel.goose.NUTSKernel attribute) (liesel.goose.RWKernel attribute) needs_seed (liesel.model.Node property) new_calc() (liesel.model.Var class method) new_obs() (liesel.model.Var class method) new_param() (liesel.model.Var class method) new_value() (liesel.model.Var class method) Node (class in liesel.model) node_graph (liesel.model.Model property) node_parental_subgraph() (liesel.model.Model method) nodes (liesel.model.GraphBuilder attribute) (liesel.model.Model property) (liesel.model.Var property) nth_epoch (liesel.goose.EpochState attribute) NUTSKernel (class in liesel.goose) O observed (liesel.model.Model property) (liesel.model.Var property) optim_flat() (in module liesel.goose) OptimResult (class in liesel.goose) optional (liesel.goose.EpochConfig attribute) order (liesel.goose.MCMCSpec attribute) outdated (liesel.model.Node property) (liesel.model.TransientNode property) (liesel.model.Value property) outputs (liesel.model.Node property) P parameter (liesel.model.Var property) parameters (liesel.model.Model property) parental_submodel() (liesel.model.Model method) patience (liesel.goose.Stopper attribute) per_chain (liesel.goose.Summary attribute) per_obs (liesel.model.Dist property) PIT() (in module liesel.model) pkl_load() (liesel.goose.SamplingResults static method) pkl_save() (liesel.goose.SamplingResults method) plot() (liesel.model.Model method) (liesel.model.Var method) plot_cor() (in module liesel.goose) plot_density() (in module liesel.goose) plot_nodes() (liesel.model.GraphBuilder method) (liesel.model.Model method) (liesel.model.Var method) plot_pairs() (in module liesel.goose) plot_param() (in module liesel.goose) plot_scatter() (in module liesel.goose) plot_trace() (in module liesel.goose) plot_vars() (liesel.model.GraphBuilder method) (liesel.model.Model method) (liesel.model.Var method) pop_nodes_and_vars() (liesel.model.Model method) pop_vars() (liesel.model.Model method) position (liesel.goose.MHProposal attribute) (liesel.goose.OptimResult attribute) position() (liesel.goose.ModelMixin method) position_keys (liesel.goose.GibbsKernel attribute) (liesel.goose.HMCKernel attribute) (liesel.goose.IWLSKernel attribute) (liesel.goose.Kernel attribute) (liesel.goose.MHKernel attribute) (liesel.goose.ModelMixin attribute) (liesel.goose.NUTSKernel attribute) (liesel.goose.RWKernel attribute) position_moved (liesel.goose.DefaultTransitionInfo attribute) (liesel.goose.TransitionInfo attribute) positions (liesel.goose.SamplingResults attribute) positions_excluded (liesel.goose.EngineBuilder attribute) positions_included (liesel.goose.EngineBuilder attribute) POSTERIOR (liesel.goose.EpochType attribute) prec (liesel.distributions.MultivariateNormalDegenerate property) predict() (liesel.model.Model method) (liesel.model.Var method) pspline_penalty() (in module liesel.contrib.splines) PyMCInterface (class in liesel.experimental.pymc) Q quantities (liesel.goose.Summary attribute) quantity_generators (liesel.goose.EngineBuilder property) R rank (liesel.distributions.MultivariateNormalDegenerate property) rename() (liesel.model.GraphBuilder method) rename_nodes() (liesel.model.GraphBuilder method) rename_vars() (liesel.model.GraphBuilder method) replace_node() (liesel.model.GraphBuilder method) replace_var() (liesel.model.GraphBuilder method) role (liesel.model.Var property) rtol (liesel.goose.Stopper attribute) run_for_epochs() (liesel.goose.LieselMCMC method) RWKernel (class in liesel.goose) S sample() (liesel.model.Model method) (liesel.model.Var method) sample_all_epochs() (liesel.goose.Engine method) sample_info (liesel.goose.Summary attribute) sample_next_epoch() (liesel.goose.Engine method) SamplesSummary (class in liesel.goose) SamplingResults (class in liesel.goose) set_duration() (liesel.goose.EngineBuilder method) set_duration_simple() (liesel.goose.EngineBuilder method) set_engine_seed() (liesel.goose.EngineBuilder method) set_epochs() (liesel.goose.EngineBuilder method) set_initial_values() (liesel.goose.EngineBuilder method) set_inputs() (liesel.model.Node method) set_jitter_fns() (liesel.goose.EngineBuilder method) set_model() (liesel.goose.EngineBuilder method) (liesel.goose.Kernel method) (liesel.goose.ModelMixin method) set_seed() (liesel.model.Model method) show_progress (liesel.goose.EngineBuilder attribute) simulate() (liesel.model.Model method) SLOW_ADAPTATION (liesel.goose.EpochType attribute) start_epoch() (liesel.goose.GibbsKernel method) (liesel.goose.HMCKernel method) (liesel.goose.IWLSKernel method) (liesel.goose.Kernel method) (liesel.goose.MHKernel method) (liesel.goose.NUTSKernel method) (liesel.goose.RWKernel method) state (liesel.model.Model property) (liesel.model.Node property) (liesel.model.TransientNode property) step_size (liesel.goose.da.DAKernelState attribute) stop_early() (liesel.goose.Stopper method) stop_now() (liesel.goose.Stopper method) Stopper (class in liesel.goose) strong (liesel.model.Var property) Summary (class in liesel.goose) T thinning (liesel.goose.EpochConfig attribute) time (liesel.goose.DefaultTuningInfo attribute) (liesel.goose.EpochState attribute) (liesel.goose.TuningInfo attribute) time_before_epoch (liesel.goose.EpochState attribute) time_in_epoch (liesel.goose.EpochState attribute) time_left() (liesel.goose.EpochState method) to_arviz_inference_data() (in module liesel.experimental.arviz) to_dataframe() (liesel.goose.SamplesSummary method) (liesel.goose.Summary method) to_state() (liesel.goose.EpochConfig method) transform() (liesel.model.Var method) TransientCalc (class in liesel.model) TransientDist (class in liesel.model) TransientIdentity (class in liesel.model) TransientNode (class in liesel.model) transition() (liesel.goose.GibbsKernel method) (liesel.goose.Kernel method) (liesel.goose.TransitionMixin method) transition_infos (liesel.goose.SamplingResults attribute) TransitionInfo (class in liesel.goose) TransitionMixin (class in liesel.goose) TransitionOutcome (class in liesel.goose) tune() (liesel.goose.GibbsKernel method) (liesel.goose.IWLSKernel method) (liesel.goose.Kernel method) (liesel.goose.MHKernel method) (liesel.goose.RWKernel method) tune_inv_mm_diag() (in module liesel.goose.mm) tune_inv_mm_full() (in module liesel.goose.mm) tuning_infos (liesel.goose.SamplingResults attribute) TuningInfo (class in liesel.goose) TuningOutcome (class in liesel.goose) type (liesel.goose.EpochConfig attribute) U untuned() (liesel.goose.IWLSKernel class method) update() (liesel.model.Calc method) (liesel.model.Dist method) (liesel.model.GraphBuilder method) (liesel.model.Model method) (liesel.model.Node method) (liesel.model.TransientNode method) (liesel.model.Value method) (liesel.model.Var method) update_state() (liesel.experimental.pymc.PyMCInterface method) (liesel.goose.DataclassInterface method) (liesel.goose.DictInterface method) (liesel.goose.LieselInterface method) (liesel.goose.NamedTupleInterface method) (liesel.model.Model method) V validate_inference_specs() (liesel.goose.LieselMCMC method) Value (class in liesel.model) value (liesel.model.InputGroup property) (liesel.model.Node property) (liesel.model.TransientCalc property) (liesel.model.TransientDist property) (liesel.model.TransientNode property) (liesel.model.Value property) (liesel.model.Var property) value_node (liesel.model.Var property) Var (class in liesel.model) var (liesel.model.Node property) var_graph (liesel.model.Model property) var_parental_subgraph() (liesel.model.Model method) var_value_node (liesel.model.Var property) vars (liesel.model.GraphBuilder attribute) (liesel.model.Model property) W WarmupOutcome (class in liesel.goose) weak (liesel.model.Var property) which (liesel.goose.LieselMCMC attribute) which_best_in_recent_history() (liesel.goose.Stopper method)
