def setUpClass(self):
"""
Set up the unit test by loading the dataset and training a model.
"""
from sklearn.datasets import load_boston
import numpy as np
scikit_data = load_boston()
scikit_model = GradientBoostingClassifier(random_state = 1)
t = scikit_data.target
target = np.digitize(t, np.histogram(t)[1]) - 1
scikit_model.fit(scikit_data.data, target)
self.target = target
# Save the data and the model
self.scikit_data = scikit_data
self.scikit_model = scikit_model
test_boosted_trees_classifier.py 文件源码
python
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