Index

_ | B | C | D | E | F | G | H | I | K | L | M | N | O | P | Q | R | S | T | U | V | W

_

__call__() (elicit.elicit.Dtype method) (elicit.losses.MMD2 method) (elicit.networks.BaseNormal method) (elicit.simulations.Priors method) __init__() (elicit.elicit.Dtype method) (elicit.elicit.Elicit method) (elicit.losses.MMD2 method) (elicit.simulations.Priors method) (elicit.utils.DoubleBound method) (elicit.utils.LowerBound method) (elicit.utils.UpperBound method)

B

B (elicit.types.Trainer attribute)

base_distribution (elicit.types.NFDict attribute) BaseNormal (class in elicit.networks)

C

clean_savings() (in module elicit.utils) clip() (elicit.losses.MMD2 method) computation_elicited_statistics() (in module elicit.targets) computation_target_quantities() (in module elicit.targets) constraint (elicit.types.Hyper attribute) (elicit.types.Parameter attribute)

constraint_name (elicit.types.Hyper attribute) (elicit.types.Parameter attribute) cores (elicit.types.Parallel attribute) correlation() (elicit.elicit.Queries method) custom() (elicit.elicit.Queries method)

D

data (elicit.types.ExpertDict attribute) data() (elicit.elicit.Expert method) diag() (elicit.losses.MMD2 method)

dim (elicit.types.Hyper attribute) distribution (elicit.types.Initializer attribute) DoubleBound (class in elicit.utils) Dtype (class in elicit.elicit)

E

elicit module Elicit (class in elicit.elicit) elicit.elicit module elicit.extras module elicit.extras.utils module elicit.initialization module elicit.losses module elicit.networks module elicit.optimization module

elicit.plots module elicit.simulations module elicit.targets module elicit.types module elicit.utils module elicited_statistics (elicit.types.SaveResults attribute) elicits() (in module elicit.plots) epochs (elicit.types.Trainer attribute) Expert (class in elicit.elicit) expert_elicited_statistics (elicit.types.SaveResults attribute) expert_prior_samples (elicit.types.SaveResults attribute) ExpertDict (class in elicit.types)

F

family (elicit.types.Parameter attribute) fit() (elicit.elicit.Elicit method) forward() (elicit.utils.DoubleBound method) (elicit.utils.LowerBound method) (elicit.utils.UpperBound method)

func_name (elicit.types.QueriesDict attribute)

G

get_expert_data() (in module elicit.utils)

get_expert_datformat() (in module elicit.utils) ground_truth (elicit.types.ExpertDict attribute)

H

Hyper (class in elicit.types) hyper (elicit.types.Uniform attribute) hyper() (in module elicit.elicit) hyperparameter (elicit.types.SaveHist attribute)

hyperparameter() (in module elicit.plots) hyperparameter_gradient (elicit.types.SaveHist attribute) hyperparams (elicit.types.Initializer attribute) (elicit.types.Parameter attribute)

I

identity() (elicit.elicit.Queries method) (in module elicit.utils) indiv_loss() (in module elicit.losses) inference_network (elicit.types.NFDict attribute) init_loss_list (elicit.types.SaveResults attribute) init_matrix (elicit.types.SaveResults attribute) init_prior (elicit.types.SaveResults attribute) init_prior() (in module elicit.initialization) init_runs() (in module elicit.initialization)

initialization() (in module elicit.plots) Initializer (class in elicit.types) initializer() (in module elicit.elicit) intialize_priors() (in module elicit.simulations) inv_logit() (elicit.utils.DoubleBound method) inverse() (elicit.utils.DoubleBound method) (elicit.utils.LowerBound method) (elicit.utils.UpperBound method) iterations (elicit.types.Initializer attribute)

K

kernel() (elicit.losses.MMD2 method)

L

L2() (in module elicit.losses) load() (in module elicit.utils) log_R2() (in module elicit.extras.utils) logit() (elicit.utils.DoubleBound method) loss (elicit.types.SaveHist attribute) (elicit.types.Target attribute)

loss() (in module elicit.plots) loss_component (elicit.types.SaveHist attribute) loss_quantile (elicit.types.Initializer attribute) loss_tensor_expert (elicit.types.SaveResults attribute) loss_tensor_model (elicit.types.SaveResults attribute) LowerBound (class in elicit.utils)

M

marginals() (in module elicit.plots) mean (elicit.types.Uniform attribute) method (elicit.types.Initializer attribute) (elicit.types.Trainer attribute) MMD2 (class in elicit.losses) model() (in module elicit.elicit) model_samples (elicit.types.SaveResults attribute) module elicit elicit.elicit elicit.extras elicit.extras.utils elicit.initialization elicit.losses elicit.networks elicit.optimization elicit.plots elicit.simulations elicit.targets elicit.types elicit.utils

N

name (elicit.types.Hyper attribute) (elicit.types.Parameter attribute) (elicit.types.QueriesDict attribute) (elicit.types.Target attribute)

network_specs (elicit.types.NFDict attribute) NF() (in module elicit.networks) NFDict (class in elicit.types) num_samples (elicit.types.ExpertDict attribute) (elicit.types.Trainer attribute)

O

one_forward_simulation() (in module elicit.utils)

optimizer() (in module elicit.elicit)

P

Parallel (class in elicit.types) parallel() (in module elicit.utils) Parameter (class in elicit.types) parameter() (in module elicit.elicit) pearson_correlation() (in module elicit.extras.utils) preprocess() (in module elicit.losses)

prior_averaging() (in module elicit.plots) prior_joint() (in module elicit.plots) prior_marginals() (in module elicit.plots) prior_samples (elicit.types.SaveResults attribute) priorpredictive() (in module elicit.plots) Priors (class in elicit.simulations)

Q

quantiles() (elicit.elicit.Queries method) Queries (class in elicit.elicit)

QueriesDict (class in elicit.types) query (elicit.types.Target attribute)

R

radius (elicit.types.Uniform attribute)

runs (elicit.types.Parallel attribute)

S

sample_from_priors() (in module elicit.simulations) save() (elicit.elicit.Elicit method) (in module elicit.utils) save_as_pkl() (in module elicit.utils) save_history() (in module elicit.utils) save_results() (in module elicit.utils) SaveHist (class in elicit.types) SaveResults (class in elicit.types)

seed (elicit.types.Trainer attribute) seed_chain (elicit.types.Trainer attribute) seeds (elicit.types.Parallel attribute) sgd_training() (in module elicit.optimization) shared (elicit.types.Hyper attribute) simulate_from_generator() (in module elicit.simulations) simulator() (elicit.elicit.Expert method) softmax_gumbel_trick() (in module elicit.utils)

T

Target (class in elicit.types) target() (in module elicit.elicit) target_method (elicit.types.Target attribute) target_quantities (elicit.types.SaveResults attribute)

time (elicit.types.SaveHist attribute) total_loss() (in module elicit.losses) Trainer (class in elicit.types) trainer() (in module elicit.elicit)

U

Uniform (class in elicit.types) uniform() (in module elicit.initialization) uniform_samples() (in module elicit.initialization)

update() (elicit.elicit.Elicit method) UpperBound (class in elicit.utils) use_custom_functions() (in module elicit.targets)

V

value (elicit.types.QueriesDict attribute)

vtype (elicit.types.Hyper attribute)

W

weight (elicit.types.Target attribute)

workflow() (elicit.elicit.Elicit method)