def transform(self, X, delayed=True):
    '\n        Transforms the input into the learned centroid space\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 execute as a delayed task or eager.\n\n        Returns\n        -------\n        result: Dask cuDF DataFrame or CuPy backed Dask Array\n            Distributed object containing the transformed data\n        '
    return self._transform(X, n_dims=2, delayed=delayed)
Transforms the input into the learned centroid space

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

delayed : bool (default = True)
    Whether to execute as a delayed task or eager.

Returns
-------
result: Dask cuDF DataFrame or CuPy backed Dask Array
    Distributed object containing the transformed data
def transform(self, X, delayed=True):
    '\n        Transforms the input into the learned centroid space\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 execute as a delayed task or eager.\n\n        Returns\n        -------\n        result: Dask cuDF DataFrame or CuPy backed Dask Array\n            Distributed object containing the transformed data\n        '
    return self._transform(X, n_dims=2, delayed=delayed)