class_docstr: Model-Parallel Multi-GPU Linear Regression Model.
docstr: Initializes the linear regression class.
docstr_tok: ["Initializes","the","linear","regression","class","."]
code: def __init__(self, *, client=None, **kwargs):
      """
      Initializes the linear regression class.
  
      """
      super().__init__(client=client, **kwargs)
      self._model_fit = False
      self._consec_call = 0
  
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 1 to create a new CD object from inherited base classes: BaseEstimator, SyncFitMixinLinearModel, DelayedPredictionMixin with example: obj = CD()