bug fix for t-SNE (issue scikit-learn#3526) with new inputs

New fix following the discussion on the previous pull request. Thanks to @jnothman, @mblondel and others ..
TamChen · Oct 20, 2014 · e324fdd · e324fdd
1 parent 0bdaecd
commit e324fdd
Showing 1 changed file with 6 additions and 2 deletions.
diff --git a/sklearn/manifold/t_sne.py b/sklearn/manifold/t_sne.py
@@ -431,8  431,12 @@ def _fit(self, X):
             distances = X
         else:
             if self.verbose:
-                print("[t-SNE] Computing pairwise distances...")
-            distances = pairwise_distances(X, metric=self.metric)
                 print("[t-SNE] Computing pairwise distances...")\
 
             if self.metric == "euclidean":
                 distances = pairwise_distances(X, metric=self.metric, squared=True)
             else:
                 distances = pairwise_distances(X, metric=self.metric)
 
         # Degrees of freedom of the Student's t-distribution. The suggestion
         # alpha = n_components - 1 comes from "Learning a Parametric Embedding