code: def __init__(self, patience=3):
      super().__init__()
      self.patience = max(1, patience)
      self.counter = 0
  
imports: import importlib
  from copy import deepcopy
  from typing import Dict, Union, Optional, List
  import numpy
  import pandas
  import mxnet
  from sklearn.preprocessing import OrdinalEncoder
  from gluonts.dataset.pandas import PandasDataset
  from gluonts.mx import DeepAREstimator, Trainer
  from gluonts.mx.trainer.callback import TrainingHistory
  from gluonts.mx.distribution.student_t import StudentTOutput
  from lightwood.helpers.log import log
  from lightwood.mixer.base import BaseMixer
  from lightwood.api.types import PredictionArguments
  from lightwood.data.encoded_ds import EncodedDs, ConcatedEncodedDs
label_desc: Use image node_id 1 to create a new EarlyStop object from inherited base classes: TrainingHistory with example: obj = EarlyStop(patience)