32 lines
1.0 KiB
Python
32 lines
1.0 KiB
Python
import sys
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import pytest
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import unittest
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sys.path.append('tests/python/')
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import test_linear # noqa: E402
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import testing as tm # noqa: E402
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class TestGPULinear(unittest.TestCase):
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datasets = ["Boston", "Digits", "Cancer", "Sparse regression"]
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common_param = {
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'booster': ['gblinear'],
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'updater': ['gpu_coord_descent'],
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'eta': [0.5],
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'top_k': [10],
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'tolerance': [1e-5],
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'alpha': [.005, .1],
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'lambda': [0.005],
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'coordinate_selection': ['cyclic', 'random', 'greedy']}
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@pytest.mark.skipif(**tm.no_sklearn())
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def test_gpu_coordinate(self):
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parameters = self.common_param.copy()
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parameters['gpu_id'] = [0]
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for param in test_linear.parameter_combinations(parameters):
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results = test_linear.run_suite(
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param, 150, self.datasets, scale_features=True)
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test_linear.assert_regression_result(results, 1e-2)
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test_linear.assert_classification_result(results)
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