docstr: Evaluate the model
  :param x: input
  :param y: target
  :param metric:
  :param num_workers:
  :param target_covariates:
  :param target_dti:
  :return: a list of metric evaluation results
docstr_tok: ["Evaluate","the","model",":","param","x",":","input",":","param","y",":","target",":","param","metric",":",":","param","num_workers",":",":","param","target_covariates",":",":","param","target_dti",":",":","return",":","a","list","of","metric","evaluation","results"]
code: def evaluate(
      self,
      y,
      metric=None,
      target_covariates=None,
      target_dti=None,
      num_workers=None,
  ):
      """
      Evaluate the model
      :param x: input
      :param y: target
      :param metric:
      :param num_workers:
      :param target_covariates:
      :param target_dti:
      :return: a list of metric evaluation results
      """
      raise NotImplementedError
  
imports: from abc import ABCMeta, abstractmethod
  from zoo.chronos.model.tcmf import DeepGLO
  from zoo.orca.automl.metrics import Evaluator
  from zoo.orca.automl.model.abstract import BaseModel
  from zoo.orca.data import SparkXShards, XShards
  import pickle
  import numpy
  import pandas
label_desc: Use image node_id 4 for calling the TCMFXshardsModelWrapper obj's underlying member method code with example usage: obj.evaluate(y, metric, target_covariates, target_dti, num_workers) without return types