code: def fit_incremental(
      self, x_incr, covariates_incr=None, dti_incr=None
  ):
      from bigdl.nano.utils.common import invalidInputError
  
      invalidInputError(False, "fit_incremental not implemented")
  
imports: from abc import ABCMeta, abstractmethod
  from bigdl.chronos.model.tcmf import DeepGLO
  from bigdl.orca.automl.metrics import Evaluator
  from bigdl.orca.automl.model.abstract import BaseModel
  from bigdl.orca.data import SparkXShards, XShards
  import pickle
  import numpy
  import pandas
label_desc: Use image node_id 3 for calling the TCMFXshardsModelWrapper obj's underlying member method code with example usage: obj.fit_incremental(x_incr, covariates_incr, dti_incr) without return types