class_docstr: Defines experiment configs and paths to outputs.
  
  Attributes:
    root_folder: Root folder to contain all experimental outputs.
    experiment: Name of experiment to run.
    data_folder: Folder to store data for experiment.
    model_folder: Folder to store serialised models.
    results_folder: Folder to store results.
    data_csv_path: Path to primary data csv file used in experiment.
    hyperparam_iterations: Default number of random search iterations for
      experiment.
code: def data_csv_path(self):
      csv_map = {
          "Alpha158": "Alpha158.csv",
      }
  
      return os.path.join(self.data_folder, csv_map[self.experiment])
  
imports: import os
  import data_formatters.qlib_Alpha158
label_desc: Use image node_id 2 for calling the ExperimentConfig obj's underlying member method code with example usage: obj.data_csv_path() and returns: os