def plot_csv(config: ClientConfig,
eval_csv_path: str,
train_csv_path: str,
attack_stats_csv_path: str = None,
random_seed: int = 0) -> None:
"""
Plot results from csv files
:param config: client config
:param eval_csv_path: path to the csv file with evaluation results
:param train_csv_path: path to the csv file with training results
:param random_seed: the random seed of the experiment
:param attack_stats_csv_path: path to attack stats
:return: None
"""
plotting_util.read_and_plot_results(
train_csv_path,
eval_csv_path,
config.q_agent_config.train_log_frequency,
config.q_agent_config.eval_frequency,
config.q_agent_config.eval_log_frequency,
config.q_agent_config.eval_episodes,
config.output_dir,
sim=False,
random_seed=random_seed,
attack_stats_csv_path=attack_stats_csv_path)
def plot_csv(config: ClientConfig, eval_csv_path:str, train_csv_path: str) -> None:
"""
Plot results from csv files
:param config: client config
:param eval_csv_path: path to the csv file with evaluation results
:param train_csv_path: path to the csv file with training results
:return: None
"""
plotting_util.read_and_plot_results(train_csv_path, eval_csv_path, config.q_agent_config.train_log_frequency,
config.q_agent_config.eval_frequency, config.q_agent_config.eval_log_frequency,
config.q_agent_config.eval_episodes, config.output_dir, sim=False)
