code: def _transform(self, X, n_dims=1, delayed=True, **kwargs):
      return self._run_parallel_func(
          func=_transform_func,
          X=X,
          n_dims=n_dims,
          delayed=delayed,
          **kwargs,
      )
  
imports: from distributed.client import Future
  from functools import wraps
  from dask_cudf.core import Series
  from cuml.internals.safe_imports import gpu_only_import_from
  from cuml.internals.base import Base
  from cuml.internals import BaseMetaClass
  from cuml.dask.common import parts_to_ranks
  from cuml.dask.common.input_utils import DistributedDataHandler
  from raft_dask.common.comms import Comms
  from cuml.dask.common.utils import wait_and_raise_from_futures
  from cuml.internals.array import CumlArray
  from cuml.dask.common.utils import get_client
  from collections.abc import Iterable
  from toolz import first
  from cuml.internals.safe_imports import cpu_only_import
  import dask
  import cudf.comm.serialize
  from cuml.internals.safe_imports import gpu_only_import
label_desc: Use image node_id 1 for calling the DelayedTransformMixin obj's underlying member method code with example usage: obj._transform(X, n_dims, delayed) and returns: self