Fix document. [skip ci] (#6669)
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@ -410,6 +410,8 @@ Other customization
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XGBoost dask interface accepts other advanced features found in single node Python
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interface, including callback functions, custom evaluation metric and objective:
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.. code-block:: python
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def eval_error_metric(predt, dtrain: xgb.DMatrix):
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label = dtrain.get_label()
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r = np.zeros(predt.shape)
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@ -1313,8 +1313,8 @@ def inplace_predict( # pylint: disable=unused-argument
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Returns
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-------
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prediction :
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When input data is ``dask.array.Array`` or ``DaskDMatrix``, the return value is an
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array, when input data is ``dask.dataframe.DataFrame``, return value can be
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When input data is ``dask.array.Array``, the return value is an array, when input
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data is ``dask.dataframe.DataFrame``, return value can be
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``dask.dataframe.Series``, ``dask.dataframe.DataFrame`` or ``dask.array.Array``,
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depending on the output shape.
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'''
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