Labeling selection

LabelingSelection

LabelingSelection(
    amount: int,
    retrieval_mode: RetrievalMode = Shuffled,
    max_iterations: int | None = None,
)

Bases: RapidataSelection

Labeling selection class.

Decides how many actual datapoints you want to show per session.

Parameters:

Name	Type	Description	Default
amount	int	The amount of labeling rapids that will be shown per session.	required
retrieval_mode	RetrievalMode	The retrieval mode to use. Defaults to "Shuffled".	Shuffled
max_iterations	int | None	An annotator can answer the same task only once if the retrieval_mode is "Shuffled" or "Sequential". max_iterations can increase the amount of responses an annotator can do to the same task (datapoint).	None

Source code in src/rapidata/rapidata_client/selection/labeling_selection.py

def __init__(self, amount: int, retrieval_mode: RetrievalMode = RetrievalMode.Shuffled, max_iterations: int | None = None):
    self.amount = amount
    self.retrieval_mode = retrieval_mode
    self.max_iterations = max_iterations