elicit package

Subpackages

• elicit.extras package
  • Submodules
    • elicit.extras.utils module
      • log_R2()
      • pearson_correlation()
  • Module contents

Submodules

• elicit.elicit module
  • Dtype
    • Dtype.__init__()
    • Dtype.__call__()
  • hyper()
  • parameter()
  • model()
  • Queries
    • Queries.quantiles()
    • Queries.identity()
    • Queries.correlation()
    • Queries.custom()
  • target()
  • Expert
    • Expert.data()
    • Expert.simulator()
  • optimizer()
  • initializer()
  • trainer()
  • Elicit
    • Elicit.__init__()
    • Elicit.fit()
    • Elicit.save()
    • Elicit.update()
    • Elicit.workflow()
• elicit.initialization module
  • uniform_samples()
  • init_runs()
  • init_prior()
  • uniform()
• elicit.losses module
  • preprocess()
  • indiv_loss()
  • total_loss()
  • L2()
  • MMD2
    • MMD2.__init__()
    • MMD2.__call__()
    • MMD2.clip()
    • MMD2.diag()
    • MMD2.kernel()
• elicit.networks module
  • NF()
  • BaseNormal
    • BaseNormal.__call__()
• elicit.optimization module
  • sgd_training()
• elicit.plots module
  • initialization()
  • loss()
  • hyperparameter()
  • prior_joint()
  • prior_marginals()
  • elicits()
  • marginals()
  • priorpredictive()
  • prior_averaging()
• elicit.simulations module
  • Priors
    • Priors.__init__()
    • Priors.__call__()
  • intialize_priors()
  • sample_from_priors()
  • simulate_from_generator()
• elicit.targets module
  • use_custom_functions()
  • computation_elicited_statistics()
  • computation_target_quantities()
• elicit.types module
  • Hyper
    • Hyper.name
    • Hyper.constraint
    • Hyper.constraint_name
    • Hyper.vtype
    • Hyper.dim
    • Hyper.shared
  • Parameter
    • Parameter.name
    • Parameter.family
    • Parameter.hyperparams
    • Parameter.constraint_name
    • Parameter.constraint
  • QueriesDict
    • QueriesDict.name
    • QueriesDict.value
    • QueriesDict.func_name
  • Target
    • Target.name
    • Target.query
    • Target.target_method
    • Target.loss
    • Target.weight
  • ExpertDict
    • ExpertDict.ground_truth
    • ExpertDict.num_samples
    • ExpertDict.data
  • Uniform
    • Uniform.radius
    • Uniform.mean
    • Uniform.hyper
  • Initializer
    • Initializer.method
    • Initializer.distribution
    • Initializer.loss_quantile
    • Initializer.iterations
    • Initializer.hyperparams
  • Trainer
    • Trainer.method
    • Trainer.seed
    • Trainer.B
    • Trainer.num_samples
    • Trainer.epochs
    • Trainer.seed_chain
  • NFDict
    • NFDict.inference_network
    • NFDict.network_specs
    • NFDict.base_distribution
  • SaveHist
    • SaveHist.loss
    • SaveHist.time
    • SaveHist.loss_component
    • SaveHist.hyperparameter
    • SaveHist.hyperparameter_gradient
  • SaveResults
    • SaveResults.target_quantities
    • SaveResults.elicited_statistics
    • SaveResults.prior_samples
    • SaveResults.model_samples
    • SaveResults.expert_elicited_statistics
    • SaveResults.expert_prior_samples
    • SaveResults.init_loss_list
    • SaveResults.init_prior
    • SaveResults.init_matrix
    • SaveResults.loss_tensor_expert
    • SaveResults.loss_tensor_model
  • Parallel
    • Parallel.runs
    • Parallel.cores
    • Parallel.seeds
• elicit.utils module
  • save_as_pkl()
  • identity()
  • DoubleBound
    • DoubleBound.__init__()
    • DoubleBound.logit()
    • DoubleBound.inv_logit()
    • DoubleBound.forward()
    • DoubleBound.inverse()
  • LowerBound
    • LowerBound.__init__()
    • LowerBound.forward()
    • LowerBound.inverse()
  • UpperBound
    • UpperBound.__init__()
    • UpperBound.forward()
    • UpperBound.inverse()
  • one_forward_simulation()
  • get_expert_data()
  • save()
  • load()
  • parallel()
  • save_history()
  • save_results()
  • clean_savings()
  • get_expert_datformat()
  • softmax_gumbel_trick()

Module contents