flippers.total_coverage#

flippers.total_coverage(L)#

Calculate the total proportion of labeled samples in the given label matrix.

Parameters:

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

Returns:

Total coverage, ranging from 0 to 1, indicating the proportion of labeled samples in the label matrix.

Return type:

float

Example

>>> L = pd.DataFrame([[0, 1, 0], [1, 0, 1], [0, 0, 0], [1, 1, 1]])
>>> flippers.total_coverage(L)
0.75