Make sparsefuncs_fast imports private in sparsefuncs

Thomas Unterthiner · Thomas Unterthiner · commit e1b1200b4dfc · 2014-09-02T13:32:32.000+02:00
diff --git a/sklearn/utils/sparsefuncs.py b/sklearn/utils/sparsefuncs.py
@@ -6,8 +6,8 @@
 import numpy as np
 
 from .fixes import sparse_min_max
-from .sparsefuncs_fast import (csr_mean_variance_axis0,
-                               csc_mean_variance_axis0)
+from .sparsefuncs_fast import csr_mean_variance_axis0 as _csr_mean_var_axis0
+from .sparsefuncs_fast import csc_mean_variance_axis0 as _csc_mean_var_axis0
 
 
 def _raise_typeerror(X):
@@ -82,19 +82,18 @@ def mean_variance_axis(X, axis):
 
     if isinstance(X, sp.csr_matrix):
         if axis == 0:
-            return csr_mean_variance_axis0(X)
+            return _csr_mean_var_axis0(X)
         else:
-            return csc_mean_variance_axis0(X.T)
+            return _csc_mean_var_axis0(X.T)
     elif isinstance(X, sp.csc_matrix):
         if axis == 0:
-            return csc_mean_variance_axis0(X)
+            return _csc_mean_var_axis0(X)
         else:
-            return csr_mean_variance_axis0(X.T)
+            return _csr_mean_var_axis0(X.T)
     else:
         _raise_typeerror(X)
 
 
-
 def inplace_column_scale(X, scale):
     """Inplace column scaling of a CSC/CSR matrix.
 
