flippers.confidence

flippers.confidence(L)

Calculate the average confidence level per weak labeler.

Parameters:

L (pd.DataFrame) – Weak label DataFrame of shape (n_samples, n_weak)1.

Return type:

Series of size n_weak with average confidence level per weak labeler.

Example

>>> L = pd.DataFrame([[0, .1, 0], [1, 0, .5], [0, 0, 0], [.7, .1, .2]])
>>> flippers.confidence(L)
0    0.85
1    0.10
2    0.35
dtype: float64