flippers.coverage

flippers.coverage(L)

Calculate the average of samples labeled per weak labeler.

Parameters:

L (pd.DataFrame) – Weak label DataFrame of shape (n_samples, n_weak).

Return type:

Series of size n_weak with average of samples labeled per weak labeler.

Example

>>> L = pd.DataFrame([[0, 1, 0], [1, 0, 1], [0, 0, 0], [1, 1, 1]])
>>> flippers.coverage(L)
0    0.5
1    0.5
2    0.5
dtype: float64