#5778: Changed min and max of csr/csc to use np.float64 conversion

hlin117 · hlin117 · commit 559ec05da669 · 2015-11-22T18:29:50.000-08:00
diff --git a/sklearn/utils/sparsefuncs.py b/sklearn/utils/sparsefuncs.py
@@ -40,9 +40,7 @@ def csr_csc_min_axis0(X):
         The minimum of elements along axis 0.
     """
 
-    # TODO: I don't know how to avoid this call to `astype()`;
-    # my test cases don't pass with integers otherwise.
-    X = X.astype(float)
+    X = X.astype(np.float64)
     if isinstance(X, sp.csr_matrix):
         return csr_min_axis0(X)
     elif isinstance(X, sp.csc_matrix):
@@ -64,9 +62,7 @@ def csr_csc_max_axis0(X):
         The maximum of elements along axis 0.
     """
 
-    # TODO: I don't know how to avoid this call to `astype()`;
-    # my test cases don't pass with integers otherwise.
-    X = X.astype(float)
+    X = X.astype(np.float64)
     if isinstance(X, sp.csr_matrix):
         return csr_max_axis0(X)
     elif isinstance(X, sp.csc_matrix):
