code: def __init__(
      self,
      record_keeper,
      record_group_name_prefix=None,
      primary_metric="mean_average_precision_at_r",
      validation_split_name="val",
      save_models=True,
      log_freq=50,
  ):
      self.record_keeper = record_keeper
      self.record_group_name_prefix = record_group_name_prefix
      self.saveable_trainer_objects = [
          "models",
          "optimizers",
          "lr_schedulers",
          "loss_funcs",
          "mining_funcs",
      ]
      self.primary_metric = primary_metric
      self.validation_split_name = validation_split_name
      self.do_save_models = save_models
      self.log_freq = log_freq
  
imports: import os
  import sqlite3
  import torch
  from .None import common_functions
label_desc: Use image node_id 1 to create a new HookContainer object  with example: obj = HookContainer(record_keeper, record_group_name_prefix, primary_metric, validation_split_name, save_models, log_freq)