specific_term_estimators module

exception wayward.specific_term_estimators.RequiresMultipleDocuments

Bases: Exception

wayward.specific_term_estimators.idf_fallback_for_many_docs(document_term_frequencies: Sequence[numpy.ndarray], primary_estimator: Callable[[Sequence[numpy.ndarray]], numpy.ndarray], fallback_thresh: int)

wayward.specific_term_estimators.inverse_doc_frequency(document_term_frequencies: Sequence[numpy.ndarray]) → numpy.ndarray

Estimate the fixed specific model with the inverse doc frequency method.

wayward.specific_term_estimators.me_up_to_40_docs(document_term_frequencies: Sequence[np.ndarray], *, primary_estimator: SpecificTermEstimator = <function mutual_exclusion>, fallback_thresh: int = 40)

wayward.specific_term_estimators.mutual_exclusion(document_term_frequencies: Sequence[numpy.ndarray]) → numpy.ndarray

Estimate the fixed specific model with the mutual exclusion method.

wayward.specific_term_estimators.requires_multiple_docs(estimator_func: Callable[[Sequence[numpy.ndarray]], numpy.ndarray])

Do not let the decorated function be called with fewer than two docs.

Parameters:estimator_func (SpecificTermEstimator) – Raises:RequiresMultipleDocuments Returns:decorated_func Return type:SpecificTermEstimator