elicit.types module#
- class elicit.types.Hyper[source]#
Bases:
TypedDict- name: str#
- constraint: Callable#
- constraint_name: str#
- vtype: Callable#
- dim: int#
- class elicit.types.Parameter[source]#
Bases:
TypedDict- name: str#
- family: Distribution#
- constraint_name: str#
- constraint: Callable#
- class elicit.types.QueriesDict[source]#
Bases:
TypedDict- name: str#
- value: Callable | Tuple | None#
- func_name: str#
- class elicit.types.Target[source]#
Bases:
TypedDict- name: str#
- query: QueriesDict#
- target_method: Callable | None#
- loss: Callable#
- weight: float#
- class elicit.types.ExpertDict[source]#
Bases:
TypedDict- ground_truth: dict#
- num_samples: int#
- data: dict[str, list]#
- class elicit.types.Uniform[source]#
Bases:
TypedDict- radius: float | list#
- mean: float | list#
- hyper: list | None#
- class elicit.types.Initializer[source]#
Bases:
TypedDict- method: str | None#
- loss_quantile: float | None#
- iterations: int | None#
- hyperparams: dict | None#
- class elicit.types.Trainer[source]#
Bases:
TypedDict- method: str#
- seed: int#
- B: int#
- num_samples: int#
- epochs: int#
- seed_chain: int#
- class elicit.types.NFDict[source]#
Bases:
TypedDict- inference_network: Callable#
- network_specs: dict#
- base_distribution: Callable#
- class elicit.types.SaveHist[source]#
Bases:
TypedDict- loss: bool#
- time: bool#
- loss_component: bool#
- hyperparameter: bool#
- hyperparameter_gradient: bool#
- class elicit.types.SaveResults[source]#
Bases:
TypedDict- target_quantities: bool#
- elicited_statistics: bool#
- prior_samples: bool#
- model_samples: bool#
- expert_elicited_statistics: bool#
- expert_prior_samples: bool#
- init_loss_list: bool#
- init_prior: bool#
- init_matrix: bool#
- loss_tensor_expert: bool#
- loss_tensor_model: bool#