bbbdaa82a4
## What changes were proposed in this pull request?
Currently, some of PySpark tests sill assume the tests could be ran in Python 2.6 by importing `unittest2`. For instance:
```python
if sys.version_info[:2] <= (2, 6):
try:
import unittest2 as unittest
except ImportError:
sys.stderr.write('Please install unittest2 to test with Python 2.6 or earlier')
sys.exit(1)
else:
import unittest
```
While I am here, I removed some of unused imports and reordered imports per PEP 8.
We officially dropped Python 2.6 support a while ago and started to discuss about Python 2 drop. It's better to remove them out.
## How was this patch tested?
Manually tests, and existing tests via Jenkins.
Closes #23077 from HyukjinKwon/SPARK-26105.
Lead-authored-by: hyukjinkwon <gurwls223@apache.org>
Co-authored-by: Bryan Cutler <cutlerb@gmail.com>
Signed-off-by: hyukjinkwon <gurwls223@apache.org>
64 lines
2.7 KiB
Python
64 lines
2.7 KiB
Python
#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import unittest
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import numpy as np
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from pyspark.ml.evaluation import ClusteringEvaluator, RegressionEvaluator
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from pyspark.ml.linalg import Vectors
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from pyspark.sql import Row
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from pyspark.testing.mlutils import SparkSessionTestCase
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class EvaluatorTests(SparkSessionTestCase):
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def test_java_params(self):
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"""
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This tests a bug fixed by SPARK-18274 which causes multiple copies
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of a Params instance in Python to be linked to the same Java instance.
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"""
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evaluator = RegressionEvaluator(metricName="r2")
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df = self.spark.createDataFrame([Row(label=1.0, prediction=1.1)])
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evaluator.evaluate(df)
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self.assertEqual(evaluator._java_obj.getMetricName(), "r2")
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evaluatorCopy = evaluator.copy({evaluator.metricName: "mae"})
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evaluator.evaluate(df)
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evaluatorCopy.evaluate(df)
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self.assertEqual(evaluator._java_obj.getMetricName(), "r2")
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self.assertEqual(evaluatorCopy._java_obj.getMetricName(), "mae")
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def test_clustering_evaluator_with_cosine_distance(self):
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featureAndPredictions = map(lambda x: (Vectors.dense(x[0]), x[1]),
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[([1.0, 1.0], 1.0), ([10.0, 10.0], 1.0), ([1.0, 0.5], 2.0),
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([10.0, 4.4], 2.0), ([-1.0, 1.0], 3.0), ([-100.0, 90.0], 3.0)])
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dataset = self.spark.createDataFrame(featureAndPredictions, ["features", "prediction"])
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evaluator = ClusteringEvaluator(predictionCol="prediction", distanceMeasure="cosine")
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self.assertEqual(evaluator.getDistanceMeasure(), "cosine")
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self.assertTrue(np.isclose(evaluator.evaluate(dataset), 0.992671213, atol=1e-5))
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if __name__ == "__main__":
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from pyspark.ml.tests.test_evaluation import *
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try:
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import xmlrunner
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testRunner = xmlrunner.XMLTestRunner(output='target/test-reports')
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except ImportError:
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testRunner = None
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unittest.main(testRunner=testRunner, verbosity=2)
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