class_docstr: Class for holding hyperparameters for DeepRec algorithms.
class_docstr_tok: ["Class","for","holding","hyperparameters","for","DeepRec","algorithms","."]
docstr: Return the hyperparameter values as a dictionary.
  
  Returns:
      dict: Dictionary with the hyperparameter values.
docstr_tok: ["Return","the","hyperparameter","values","as","a","dictionary",".","Returns",":","dict",":","Dictionary","with","the","hyperparameter","values","."]
code: def values(self):
      """Return the hyperparameter values as a dictionary.
  
      Returns:
          dict: Dictionary with the hyperparameter values.
      """
      return self._values
  
imports: import os
  from sklearn.metrics import roc_auc_score, log_loss, mean_squared_error, accuracy_score, f1_score
  import numpy
  import yaml
  import zipfile
  import pickle
  from recommenders.datasets.download_utils import maybe_download
label_desc: Use image node_id 3 for calling the HParams obj's underlying member method code with example usage: obj.values() and returns: self