revert pls changes

Maria Andriopoulou · Maria Andriopoulou · commit e9ea2d18f537 · 2018-04-21T19:27:14.000+01:00
diff --git a/sklearn/cross_decomposition/pls_.py b/sklearn/cross_decomposition/pls_.py
@@ -394,14 +394,14 @@ def transform(self, X, Y=None, copy=True):
         x_scores if Y is not given, (x_scores, y_scores) otherwise.
         """
         check_is_fitted(self, 'x_mean_')
-        X = check_array(X, copy=copy, dtype=np.float64)
+        X = check_array(X, copy=copy, dtype=FLOAT_DTYPES)
         # Normalize
         X -= self.x_mean_
         X /= self.x_std_
         # Apply rotation
         x_scores = np.dot(X, self.x_rotations_)
         if Y is not None:
-            Y = check_array(Y, ensure_2d=False, copy=copy, dtype=np.float64)
+            Y = check_array(Y, ensure_2d=False, copy=copy, dtype=FLOAT_DTYPES)
             if Y.ndim == 1:
                 Y = Y.reshape(-1, 1)
             Y -= self.y_mean_
@@ -429,7 +429,7 @@ def predict(self, X, copy=True):
         be an issue in high dimensional space.
         """
         check_is_fitted(self, 'x_mean_')
-        X = check_array(X, copy=copy, dtype=np.float64)
+        X = check_array(X, copy=copy, dtype=FLOAT_DTYPES)
         # Normalize
         X -= self.x_mean_
         X /= self.x_std_
