wehub-resource-sync
31 lines
718 B
Python
31 lines
718 B
Python
import dask.array as da
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from distributed import Client, LocalCluster
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from sklearn.datasets import make_blobs
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import lightgbm as lgb
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if __name__ == "__main__":
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print("loading data")
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X, y = make_blobs(n_samples=1000, n_features=50, centers=2)
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print("initializing a Dask cluster")
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cluster = LocalCluster()
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client = Client(cluster)
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print("created a Dask LocalCluster")
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print("distributing training data on the Dask cluster")
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dX = da.from_array(X, chunks=(100, 50))
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dy = da.from_array(y, chunks=(100,))
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print("beginning training")
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dask_model = lgb.DaskLGBMClassifier(n_estimators=10)
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dask_model.fit(dX, dy)
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assert dask_model.fitted_
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print("done training")
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