cosmit

Author: agramfort

sklearn/mixture/dpgmm.py

@@ -728,18 +728,17 @@ def __init__(self, n_components=1, covariance_type='diag', alpha=1.0,
         self.alpha = alpha
 
     def _fit(self, X, y=None):
-        """Estimate model parameters with the variational
-        algorithm.
+        """Estimate model parameters with the variational algorithm.
 
         For a full derivation and description of the algorithm see
         doc/modules/dp-derivation.rst
         or
         http://scikit-learn.org/stable/modules/dp-derivation.html
 
-        A initialization step is performed before entering the em
+        A initialization step is performed before entering the EM
         algorithm. If you want to avoid this step, set the keyword
-        argument init_params to the empty string '' when when creating
-        the object. Likewise, if you would like just to do an
+        argument init_params to the empty string '' when creating
+        the object. Likewise, if you just would like to do an
         initialization, set n_iter=0.
 
         Parameters