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 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) 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) C Calc (class in liesel.model) clear_state() (liesel.model.Node method) config (liesel.goose.SamplesSummary attribute) (liesel.goose.Summary attribute) continue_() (liesel.goose.Stopper method) convert_dtype() (liesel.model.GraphBuilder method) copy() (liesel.model.GraphBuilder method) copy_nodes_and_vars() (liesel.model.Model method) count_node_names() (liesel.model.GraphBuilder method) count_var_names() (liesel.model.GraphBuilder method) cross_entropy() (liesel.distributions.MultivariateNormalDegenerate method) current_epoch (liesel.goose.Engine property) D 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) EpochConfig (class in liesel.goose) epochs (liesel.goose.EngineBuilder property) 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_df() (liesel.goose.Summary method) error_summary (liesel.goose.Summary attribute) extract_position() (liesel.experimental.pymc.PyMCInterface 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) find_default_parameter_bijectors() (liesel.model.Dist method) flag_outdated() (liesel.model.Node method) (liesel.model.Value method) 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 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_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_samples() (liesel.goose.SamplingResults method) GibbsKernel (class in liesel.goose) 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) 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.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) InputGroup (class in liesel.model) inputs (liesel.model.Node property) is_sampling_done() (liesel.goose.Engine 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_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.MultivariateNormalDegenerate method) kwinputs (liesel.model.Node property) L liesel.experimental module liesel.experimental.arviz module liesel.experimental.pymc module liesel_version (liesel.goose.Summary attribute) LieselInterface (class in liesel.goose) LieselMCMC (class in liesel.goose) loc (liesel.distributions.MultivariateNormalDegenerate property) 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.DictInterface method) (liesel.goose.LieselInterface method) (liesel.goose.NamedTupleInterface method) log_prob_node (liesel.model.GraphBuilder property) M max_iter (liesel.goose.OptimResult attribute) (liesel.goose.Stopper attribute) MCMCSpec (class in liesel.goose) MHKernel (class in liesel.goose) MHProposal (class in liesel.goose) Model (class in liesel.model) model (liesel.goose.LieselMCMC attribute) (liesel.model.Node property) (liesel.model.Var property) model_state (liesel.goose.EngineBuilder property) (liesel.goose.OptimResult attribute) module liesel.experimental liesel.experimental.arviz liesel.experimental.pymc 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) 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) 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) 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_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) position (liesel.goose.MHProposal attribute) (liesel.goose.OptimResult attribute) position_keys (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) positions (liesel.goose.SamplingResults attribute) positions_excluded (liesel.goose.EngineBuilder attribute) positions_included (liesel.goose.EngineBuilder 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) 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) set_seed() (liesel.model.Model method) show_progress (liesel.goose.EngineBuilder attribute) simulate() (liesel.model.Model method) 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) 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) 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) transition_infos (liesel.goose.SamplingResults attribute) tune() (liesel.goose.GibbsKernel method) (liesel.goose.IWLSKernel method) (liesel.goose.Kernel method) (liesel.goose.MHKernel method) (liesel.goose.RWKernel method) tuning_infos (liesel.goose.SamplingResults attribute) 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.DictInterface method) (liesel.goose.LieselInterface method) (liesel.goose.NamedTupleInterface method) (liesel.model.Model method) V 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 weak (liesel.model.Var property) which (liesel.goose.LieselMCMC attribute) which_best_in_recent_history() (liesel.goose.Stopper method)
