ferret.ThermostatDataset

class ferret.ThermostatDataset(name: str, name_explainers: List | None = None)

__init__(name: str, name_explainers: List | None = None)

Load of thermostat dataset(s)

Parameters:

• name (str) – name of the thermostat dataset to load. Format: “dataset-model-explainer” or “dataset-model”

• triple (A thermostat dataset is based on the) –

• case (In the latter) –

• datasets (we load the thermostat) –

• name_explainers (list) –

• name_explainers – list of admitted explainers. If none, we use all the admitted explainers

Methods

__init__(name[, name_explainers])	Load of thermostat dataset(s)
get_explanations(idx[, text, tokens, ...])	Returns the pre-computed explanations of the instance at index idx
get_instance(idx[, normalize_scores])	Get the instance at index idx.
get_target_explanations(idx)	Returns the target of explanations at id idx
get_true_rationale_from_words_to_tokens(...)
len()

Attributes

NAME
avg_rationale_size