FIX: explicit conversion to float64 in ElasticNet

Fabian Pedregosa · Fabian Pedregosa · commit 0372ba729d94 · 2012-01-09T16:12:17.000+01:00
as_float_array is not enough because cd_fast does not accept float32.
diff --git a/sklearn/linear_model/coordinate_descent.py b/sklearn/linear_model/coordinate_descent.py
@@ -119,16 +119,15 @@ def fit(self, X, y, Xy=None, coef_init=None):
         To avoid memory re-allocation it is advised to allocate the
         initial data in memory directly using that format.
         """
-        X = as_float_array(X, self.copy_X)
+        # X and y must be of type float64
+        X = np.asanyarray(X, dtype=np.float64)
         y = np.asarray(y, dtype=np.float64)
 
         n_samples, n_features = X.shape
 
         X_init = X
         X, y, X_mean, y_mean, X_std = self._center_data(X, y,
-                                                        self.fit_intercept,
-                                                        self.normalize,
-                                                        copy=False)
+                self.fit_intercept, self.normalize, copy=self.copy_X)
         precompute = self.precompute
         if X_init is not X and hasattr(precompute, '__array__'):
             precompute = 'auto'  # recompute Gram
