docstr: Predicts the output of the model.
  
  Args:
      x (Dict): The input of the model with 'continuous' and 'categorical' keys
  
      ret_model_output (bool): If True, the method returns the output of the model
  
  Returns:
      The output of the model
code: def predict(
      self, x: Dict, ret_model_output: bool = False
  ) -> Union[torch.Tensor, Tuple[torch.Tensor, Dict]]:
      """Predicts the output of the model.
  
      Args:
          x (Dict): The input of the model with 'continuous' and 'categorical' keys
  
          ret_model_output (bool): If True, the method returns the output of the model
  
      Returns:
          The output of the model
      """
      assert (
          self.hparams.task != "ssl"
      ), "It's not allowed to use the method predict in case of ssl task"
      ret_value = self.forward(x)
      if ret_model_output:
          return ret_value.get("logits"), ret_value
      return ret_value.get("logits")
  
imports: import importlib
  import warnings
  from abc import ABCMeta, abstractmethod
  from functools import partial
  from typing import Any, Callable, Dict, List, Optional, Tuple, Type, Union
  import numpy
  import pytorch_lightning
  import torch
  import torch.nn
  import torchmetrics
  from omegaconf import DictConfig, OmegaConf
  from pandas import DataFrame
  from torch import Tensor
  from torch.optim import Optimizer
  from pytorch_tabular.models.common.heads import blocks
  from pytorch_tabular.models.common.layers import PreEncoded1dLayer
  from pytorch_tabular.utils import get_logger, reset_all_weights
label_desc: Use image node_id 19 for calling the BaseModel obj's underlying member method code with example usage: obj.predict(x, ret_model_output) and returns: ret_value, ret_value,  ret_value