DOC for n_nonzero_coefs_ attribute in OrthogonalMatchingPursuit (scik…

…it-learn#18756)
neurodata · Nov 5, 2020 · b5d63e3 · b5d63e3
1 parent f0e9d29
commit b5d63e3
Showing 1 changed file with 5 additions and 0 deletions.
diff --git a/sklearn/linear_model/_omp.py b/sklearn/linear_model/_omp.py
@@ -588,6 +588,11 @@ class OrthogonalMatchingPursuit(MultiOutputMixin, RegressorMixin, LinearModel):
  n_iter_ : int or array-like
  Number of active features across every target.
 
+ n_nonzero_coefs_ : int
+ The number of non-zero coefficients in the solution. If
+ `n_nonzero_coefs` is None and `tol` is None this value is either set
+ to 10% of `n_features` or 1, whichever is greater.
+
  Examples
  --------
  >>> from sklearn.linear_model import OrthogonalMatchingPursuit