code: def state_dict(self):
      state = {
          "weights": self.model.get_weights(),
          "config": {
              "cnn_height": self.cnn_height,
              "long_num": self.long_num,
              "time_step": self.time_step,
              "ar_window": self.ar_window,
              "cnn_hid_size": self.cnn_hid_size,
              "rnn_hid_sizes": self.rnn_hid_sizes,
              "cnn_dropout": self.cnn_dropout,
              "rnn_dropout": self.rnn_dropout,
              "lr": self.lr,
              "batch_size": self.batch_size,
              # for fit eval
              "epochs": self.epochs,
              "metric": self.metric,
              "mc": self.mc,
              "feature_num": self.feature_num,
              "output_dim": self.output_dim,
              "loss": self.loss,
          },
      }
      return state
  
imports: import pickle
  import numpy
  import time
  from tensorflow.keras.models import Model
  from tensorflow.keras.layers import *
  from tensorflow.keras.initializers import TruncatedNormal, Constant
  import tensorflow.keras.backend
  import tensorflow
  from zoo.orca.automl.metrics import Evaluator
  from zoo.orca.automl.model.abstract import BaseModel
label_desc: Use image node_id 14 for calling the MTNetKeras obj's underlying member method code with example usage: obj.state_dict() and returns: state