[doc] Update dask demo. (#9201)
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@ -38,19 +38,18 @@ def using_dask_matrix(client: Client, X, y):
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def using_quantile_device_dmatrix(client: Client, X, y):
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"""`DaskQuantileDMatrix` is a data type specialized for `gpu_hist`, tree
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method that reduces memory overhead. When training on GPU pipeline, it's
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preferred over `DaskDMatrix`.
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"""`DaskQuantileDMatrix` is a data type specialized for `gpu_hist` and `hist` tree
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methods for reducing memory usage.
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.. versionadded:: 1.2.0
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"""
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# Input must be on GPU for `DaskQuantileDMatrix`.
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X = dask_cudf.from_dask_dataframe(dd.from_dask_array(X))
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y = dask_cudf.from_dask_dataframe(dd.from_dask_array(y))
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# `DaskQuantileDMatrix` is used instead of `DaskDMatrix`, be careful
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# that it can not be used for anything else other than training.
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# `DaskQuantileDMatrix` is used instead of `DaskDMatrix`, be careful that it can not
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# be used for anything else other than training unless a reference is specified. See
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# the `ref` argument of `DaskQuantileDMatrix`.
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dtrain = dxgb.DaskQuantileDMatrix(client, X, y)
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output = xgb.dask.train(
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client, {"verbosity": 2, "tree_method": "gpu_hist"}, dtrain, num_boost_round=4
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