2c1a439869
* Remove GPU memory usage demo. * Add tests for demos. * Remove `silent`. * Remove shebang as it's not portable.
18 lines
540 B
Python
18 lines
540 B
Python
from sklearn.model_selection import GridSearchCV
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from sklearn.datasets import load_boston
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import xgboost as xgb
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if __name__ == "__main__":
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print("Parallel Parameter optimization")
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boston = load_boston()
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y = boston['target']
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X = boston['data']
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xgb_model = xgb.XGBRegressor()
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clf = GridSearchCV(xgb_model, {'max_depth': [2, 4, 6],
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'n_estimators': [50, 100, 200]}, verbose=1,
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n_jobs=2)
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clf.fit(X, y)
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print(clf.best_score_)
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print(clf.best_params_)
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