update doc

Author: zhengruifeng

python/pyspark/ml/feature.py

@@ -323,8 +323,7 @@ class Bucketizer(JavaTransformer, HasInputCol, HasOutputCol, HasInputCols, HasOu
     Maps a column of continuous features to a column of feature buckets. Since 2.3.0,
     :py:class:`Bucketizer` can map multiple columns at once by setting the :py:attr:`inputCols`
     parameter. Note that when both the :py:attr:`inputCol` and :py:attr:`inputCols` parameters
-    are set, a log warning will be printed and only :py:attr:`inputCol` will take effect, while
-    :py:attr:`inputCols` will be ignored. The :py:attr:`splits` parameter is only used for single
+    are set, an Exception will be thrown. The :py:attr:`splits` parameter is only used for single
     column usage, and :py:attr:`splitsArray` is for multiple columns.
 
     >>> values = [(0.1, 0.0), (0.4, 1.0), (1.2, 1.3), (1.5, float("nan")),