359023c0fa
* Speed up tests * Prevent DeviceQuantileDMatrix initialisation with numpy * Use joblib.memory * Use RandomState
31 lines
1000 B
Python
31 lines
1000 B
Python
import sys
|
|
import pytest
|
|
import unittest
|
|
|
|
sys.path.append('tests/python/')
|
|
import test_linear # noqa: E402
|
|
import testing as tm # noqa: E402
|
|
|
|
|
|
class TestGPULinear(unittest.TestCase):
|
|
datasets = ["Boston", "Digits", "Cancer", "Sparse regression"]
|
|
common_param = {
|
|
'booster': ['gblinear'],
|
|
'updater': ['gpu_coord_descent'],
|
|
'eta': [0.5],
|
|
'top_k': [10],
|
|
'tolerance': [1e-5],
|
|
'alpha': [.1],
|
|
'lambda': [0.005],
|
|
'coordinate_selection': ['cyclic', 'random', 'greedy']}
|
|
|
|
@pytest.mark.skipif(**tm.no_sklearn())
|
|
def test_gpu_coordinate(self):
|
|
parameters = self.common_param.copy()
|
|
parameters['gpu_id'] = [0]
|
|
for param in test_linear.parameter_combinations(parameters):
|
|
results = test_linear.run_suite(
|
|
param, 100, self.datasets, scale_features=True)
|
|
test_linear.assert_regression_result(results, 1e-2)
|
|
test_linear.assert_classification_result(results)
|