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15 lines
363 B
Python
15 lines
363 B
Python
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from sklearn.datasets import fetch_openml
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from flaml import AutoML
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X_train, y_train = fetch_openml(name="credit-g", return_X_y=True, as_frame=False)
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# not a real learning to rank dataaset
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groups = [200] * 4 + [100] * 2 # group counts
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automl = AutoML()
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automl.fit(
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X_train,
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y_train,
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groups=groups,
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task="rank",
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time_budget=1, # in seconds
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)
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