flippers.overlaps#
- flippers.overlaps(L)#
Calculate the number of fraction of labeled samples labeled by other labeling functions for each labeling function.
- Parameters:
L (pd.DataFrame) – Weak label DataFrame of shape (n_samples, n_weak).
- Returns:
Series of length n_weak indicating the fraction of annotated samples with other annotations for each LF.
- Return type:
pd.Series
Example
>>> L = pd.DataFrame([[0, 1, 0], [1, 0, 1], [0, 0, 0], [1, 1, 1]]) >>> flippers.overlap(L) 0 0.50 1 0.25 2 0.50 dtype: float64