diff --git a/mfs/Metrics.py b/mfs/Metrics.py index 13ecf24..8e4cce9 100755 --- a/mfs/Metrics.py +++ b/mfs/Metrics.py @@ -51,6 +51,9 @@ class Metrics: def _compute_mi_cc(x, y, n_neighbors): """Compute mutual information between two continuous variables. + # Author: Nikolay Mayorov + # License: 3-clause BSD + Parameters ---------- x, y : ndarray, shape (n_samples,) @@ -68,10 +71,10 @@ class Metrics: Notes ----- - True mutual information can't be negative. If its estimate by a numerical - method is negative, it means (providing the method is adequate) that the - mutual information is close to 0 and replacing it by 0 is a reasonable - strategy. + True mutual information can't be negative. If its estimate by a + numerical method is negative, it means (providing the method is + adequate) that the mutual information is close to 0 and replacing it by + 0 is a reasonable strategy. References ----------