code: def get_fixed_params(framework):
      """Parameters that currently cannot be searched during HPO"""
      fixed_params = {
          # 'seed_value': 0,  # random seed for reproducibility (set = None to ignore)
      }
      pytorch_fixed_params = {
          "num_epochs": 500,  # maximum number of epochs (passes over full dataset) for training NN
          "epochs_wo_improve": 20,  # we terminate training if validation performance hasn't improved in the last 'epochs_wo_improve' # of epochs
      }
      return merge_framework_params(
          framework=framework,
          shared_params=fixed_params,
          pytorch_params=pytorch_fixed_params,
      )
  
file_path: autogluon/tabular/src/autogluon/tabular/models/tabular_nn/hyperparameters/parameters.py
imports: from autogluon.core.constants import BINARY, MULTICLASS, QUANTILE, REGRESSION
label_desc: Use image node_id 1 for calling a global function with example usage: get_fixed_params(framework) and returns: merge_framework_params