def predict(self, X, delayed=True):
    '\n        Predict labels for the input\n\n        Parameters\n        ----------\n        X : Dask cuDF DataFrame or CuPy backed Dask Array\n            Data to predict\n\n        delayed : bool (default = True)\n            Whether to do a lazy prediction (and return Delayed objects) or an\n            eagerly executed one.\n\n        Returns\n        -------\n        result: Dask cuDF DataFrame or CuPy backed Dask Array\n            Distributed object containing predictions\n        '
    return self._predict(X, delayed=delayed)
Predict labels for the input

Parameters
----------
X : Dask cuDF DataFrame or CuPy backed Dask Array
    Data to predict

delayed : bool (default = True)
    Whether to do a lazy prediction (and return Delayed objects) or an
    eagerly executed one.

Returns
-------
result: Dask cuDF DataFrame or CuPy backed Dask Array
    Distributed object containing predictions
def predict(self, X, delayed=True):
    '\n        Predict labels for the input\n\n        Parameters\n        ----------\n        X : Dask cuDF DataFrame or CuPy backed Dask Array\n            Data to predict\n\n        delayed : bool (default = True)\n            Whether to do a lazy prediction (and return Delayed objects) or an\n            eagerly executed one.\n\n        Returns\n        -------\n        result: Dask cuDF DataFrame or CuPy backed Dask Array\n            Distributed object containing predictions\n        '
    return self._predict(X, delayed=delayed)