cc6a5a3666
* Added finding quantiles on GPU.
- this includes datasets where weights are assigned to data rows
- as the quantiles found by the new algorithm are not the same
as those found by the old one, test thresholds in
tests/python-gpu/test_gpu_updaters.py have been adjusted.
* Adjustments and improved testing for finding quantiles on the GPU.
- added C++ tests for the DeviceSketch() function
- reduced one of the thresholds in test_gpu_updaters.py
- adjusted the cuts found by the find_cuts_k kernel
33 lines
1023 B
Python
33 lines
1023 B
Python
import sys
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sys.path.append('tests/python/')
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import test_linear
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import testing as tm
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import unittest
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class TestGPULinear(unittest.TestCase):
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datasets = ["Boston", "Digits", "Cancer", "Sparse regression",
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"Boston External Memory"]
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def test_gpu_coordinate(self):
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tm._skip_if_no_sklearn()
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variable_param = {
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'booster': ['gblinear'],
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'updater': ['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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'nthread': [2],
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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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'n_gpus': [-1]
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}
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for param in test_linear.parameter_combinations(variable_param):
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results = test_linear.run_suite(
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param, 200, 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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