[GitHub] [spark] WeichenXu123 commented on a diff in pull request #41176: [SPARK-43516] [ML] Base interfaces of sparkML for spark3.5: estimator/transformer/model/evaluator

["WeichenXu123 (via GitHub)" <gi...@apache.org>]

WeichenXu123 commented on code in PR #41176:
URL: https://github.com/apache/spark/pull/41176#discussion_r1198515956


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python/pyspark/mlv2/tests/test_feature.py:
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@@ -0,0 +1,103 @@
+# -*- coding: utf-8 -*-
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements.  See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+import unittest
+import numpy as np
+
+from pyspark.ml.linalg import DenseVector, SparseVector, Vectors
+from pyspark.sql import Row
+from pyspark.testing.utils import QuietTest
+from pyspark.testing.mlutils import check_params, SparkSessionTestCase
+
+from pyspark.mlv2.feature import MaxAbsScaler, StandardScaler
+
+
+class FeatureTests(SparkSessionTestCase):

Review Comment:
   I will add a spark connect side test.



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