def setUpClass(self):
"""
Set up the unit test by loading the dataset and training a model.
"""
if not HAS_XGBOOST:
return
if not HAS_SKLEARN:
return
scikit_data = load_boston()
dtrain = xgboost.DMatrix(scikit_data.data, label = scikit_data.target,
feature_names = scikit_data.feature_names)
xgb_model = xgboost.train({}, dtrain, 1)
# Save the data and the model
self.scikit_data = scikit_data
self.xgb_model = xgb_model
self.feature_names = self.scikit_data.feature_names
test_boosted_trees_regression.py 文件源码
python
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