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https://github.com/vale981/ray
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14 lines
385 B
Python
14 lines
385 B
Python
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import ray
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from ray.train.xgboost import XGBoostTrainer
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from ray.air.config import ScalingConfig
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train_dataset = ray.data.from_items([{"x": x, "y": x + 1} for x in range(32)])
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trainer = XGBoostTrainer(
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label_column="y",
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params={"objective": "reg:squarederror"},
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scaling_config=ScalingConfig(num_workers=3),
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datasets={"train": train_dataset},
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)
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result = trainer.fit()
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