import testing as tm import unittest import xgboost as xgb try: from regression_test_utilities import run_suite, parameter_combinations, \ assert_results_non_increasing except ImportError: None class TestUpdaters(unittest.TestCase): def test_histmaker(self): tm._skip_if_no_sklearn() variable_param = {'updater': ['grow_histmaker'], 'max_depth': [2, 8]} for param in parameter_combinations(variable_param): result = run_suite(param) assert_results_non_increasing(result, 1e-2) def test_colmaker(self): tm._skip_if_no_sklearn() variable_param = {'updater': ['grow_colmaker'], 'max_depth': [2, 8]} for param in parameter_combinations(variable_param): result = run_suite(param) assert_results_non_increasing(result, 1e-2) def test_fast_histmaker(self): tm._skip_if_no_sklearn() variable_param = {'tree_method': ['hist'], 'max_depth': [2, 8], 'max_bin': [2, 256], 'grow_policy': ['depthwise', 'lossguide'], 'max_leaves': [64, 0], 'silent': [1]} for param in parameter_combinations(variable_param): result = run_suite(param) assert_results_non_increasing(result, 1e-2) # hist must be same as exact on all-categorial data dpath = 'demo/data/' ag_dtrain = xgb.DMatrix(dpath + 'agaricus.txt.train') ag_dtest = xgb.DMatrix(dpath + 'agaricus.txt.test') ag_param = {'max_depth': 2, 'tree_method': 'hist', 'eta': 1, 'silent': 1, 'objective': 'binary:logistic', 'eval_metric': 'auc'} hist_res = {} exact_res = {} xgb.train(ag_param, ag_dtrain, 10, [(ag_dtrain, 'train'), (ag_dtest, 'test')], evals_result=hist_res) ag_param["tree_method"] = "exact" xgb.train(ag_param, ag_dtrain, 10, [(ag_dtrain, 'train'), (ag_dtest, 'test')], evals_result=exact_res) assert hist_res['train']['auc'] == exact_res['train']['auc'] assert hist_res['test']['auc'] == exact_res['test']['auc']