remove dtype

MDouriez · MDouriez · commit 8a8d4d6635f5 · 2019-11-02T12:31:28.000-07:00
diff --git a/sklearn/naive_bayes.py b/sklearn/naive_bayes.py
@@ -359,8 +359,7 @@ def _partial_fit(self, X, y, classes=None, _refit=False,
         """
         X, y = check_X_y(X, y)
         if sample_weight is not None:
-            sample_weight = _check_sample_weight(sample_weight, X,
-                                                 dtype=np.float64)
+            sample_weight = _check_sample_weight(sample_weight, X)
 
         # If the ratio of data variance between dimensions is too small, it
         # will cause numerical errors. To address this, we artificially
diff --git a/sklearn/svm/_base.py b/sklearn/svm/_base.py
@@ -13,7 +13,8 @@
 from ..utils import column_or_1d, check_X_y
 from ..utils import compute_class_weight
 from ..utils.extmath import safe_sparse_dot
-from ..utils.validation import check_is_fitted, _check_large_sparse
+from ..utils.validation import check_is_fitted
+from ..utils.validation import _check_large_sparse
 from ..utils.validation import _check_sample_weight
 from ..utils.multiclass import check_classification_targets
 from ..exceptions import ConvergenceWarning
