64 lines
2.3 KiB
Python
64 lines
2.3 KiB
Python
# Copyright 2021 The Kubeflow Authors
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# 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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"""Tests for kfp.dsl.metrics_utils."""
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import os
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import unittest
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import json
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from kfp.deprecated.dsl import metrics_utils
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class MetricsUtilsTest(unittest.TestCase):
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def test_confusion_matrix(self):
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conf_matrix = metrics_utils.ConfusionMatrix()
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conf_matrix.set_categories(['dog', 'cat', 'horses'])
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conf_matrix.log_row('dog', [2, 6, 0])
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conf_matrix.log_cell('cat', 'dog', 3)
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with open(
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os.path.join(
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os.path.dirname(__file__), 'test_data',
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'expected_confusion_matrix.json')) as json_file:
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expected_json = json.load(json_file)
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self.assertEqual(expected_json, conf_matrix.get_metrics())
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def test_bulkload_confusion_matrix(self):
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conf_matrix = metrics_utils.ConfusionMatrix()
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conf_matrix.load_matrix(['dog', 'cat', 'horses'],
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[[2, 6, 0], [3, 5, 6], [5, 7, 8]])
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with open(
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os.path.join(
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os.path.dirname(__file__), 'test_data',
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'expected_bulk_loaded_confusion_matrix.json')) as json_file:
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expected_json = json.load(json_file)
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self.assertEqual(expected_json, conf_matrix.get_metrics())
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def test_confidence_metrics(self):
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confid_metrics = metrics_utils.ConfidenceMetrics()
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confid_metrics.confidenceThreshold = 24.3
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confid_metrics.recall = 24.5
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confid_metrics.falsePositiveRate = 98.4
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expected_dict = {
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'confidenceThreshold': 24.3,
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'recall': 24.5,
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'falsePositiveRate': 98.4
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}
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self.assertEqual(expected_dict, confid_metrics.get_metrics())
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if __name__ == '__main__':
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unittest.main()
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