9c9070aea2
* Do not derive from unittest.TestCase (not needed for pytest) * assertRaises -> pytest.raises * Simplify test_empty_dmatrix with test parametrization * setUpClass -> setup_class, tearDownClass -> teardown_class * Don't import unittest; import pytest * Use plain assert * Use parametrized tests in more places * Fix test_gpu_with_sklearn.py * Put back run_empty_dmatrix_reg / run_empty_dmatrix_cls * Fix test_eta_decay_gpu_hist * Add parametrized tests for monotone constraints * Fix test names * Remove test parametrization * Revise test_slice to be not flaky
74 lines
2.3 KiB
Python
74 lines
2.3 KiB
Python
# -*- coding: utf-8 -*-
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import xgboost as xgb
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import numpy as np
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class TestOMP:
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def test_omp(self):
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dpath = 'demo/data/'
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dtrain = xgb.DMatrix(dpath + 'agaricus.txt.train')
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dtest = xgb.DMatrix(dpath + 'agaricus.txt.test')
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param = {'booster': 'gbtree',
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'objective': 'binary:logistic',
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'grow_policy': 'depthwise',
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'tree_method': 'hist',
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'eval_metric': 'error',
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'max_depth': 5,
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'min_child_weight': 0}
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watchlist = [(dtest, 'eval'), (dtrain, 'train')]
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num_round = 5
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def run_trial():
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res = {}
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bst = xgb.train(param, dtrain, num_round, watchlist, evals_result=res)
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metrics = [res['train']['error'][-1], res['eval']['error'][-1]]
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preds = bst.predict(dtest)
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return metrics, preds
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def consist_test(title, n):
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auc, pred = run_trial()
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for i in range(n-1):
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auc2, pred2 = run_trial()
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try:
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assert auc == auc2
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assert np.array_equal(pred, pred2)
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except Exception as e:
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print('-------test %s failed, num_trial: %d-------' % (title, i))
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raise e
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auc, pred = auc2, pred2
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return auc, pred
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print('test approx ...')
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param['tree_method'] = 'approx'
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param['nthread'] = 1
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auc_1, pred_1 = consist_test('approx_thread_1', 100)
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param['nthread'] = 2
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auc_2, pred_2 = consist_test('approx_thread_2', 100)
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param['nthread'] = 3
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auc_3, pred_3 = consist_test('approx_thread_3', 100)
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assert auc_1 == auc_2 == auc_3
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assert np.array_equal(auc_1, auc_2)
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assert np.array_equal(auc_1, auc_3)
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print('test hist ...')
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param['tree_method'] = 'hist'
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param['nthread'] = 1
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auc_1, pred_1 = consist_test('hist_thread_1', 100)
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param['nthread'] = 2
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auc_2, pred_2 = consist_test('hist_thread_2', 100)
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param['nthread'] = 3
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auc_3, pred_3 = consist_test('hist_thread_3', 100)
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assert auc_1 == auc_2 == auc_3
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assert np.array_equal(auc_1, auc_2)
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assert np.array_equal(auc_1, auc_3)
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