class_docstr: Model-Parallel Multi-GPU Linear Regression Model.
code: def _create_model(sessionId, datatype, **kwargs):
      from cuml.solvers.cd_mg import CDMG
  
      handle = get_raft_comm_state(sessionId, get_worker())["handle"]
      return CDMG(handle=handle, output_type=datatype, **kwargs)
  
file_path: cuml/python/cuml/dask/solvers/cd.py
imports: from cuml.dask.common.base import BaseEstimator
  from cuml.dask.common.base import DelayedPredictionMixin
  from cuml.dask.common.base import mnmg_import
  from cuml.dask.common.base import SyncFitMixinLinearModel
  from raft_dask.common.comms import get_raft_comm_state
  from dask.distributed import get_worker
label_desc: Use image node_id 4 for calling the CD obj's underlying member method code with example usage: obj._create_model(sessionId, datatype) and returns: CDMG