logger

Source code: tianshou/highlevel/logger.py

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class LoggerFactory

abstract create_logger(log_dir: str, experiment_name: str, run_id: str | None, config_dict: dict) → BaseLogger

Creates the logger.

Parameters:

• log_dir – path to the directory in which log data is to be stored

• experiment_name – the name of the job, which may contain os.path.sep

• run_id – a unique name, which, depending on the logging framework, may be used to identify the logger

• config_dict – a dictionary with data that is to be logged

Returns:

the logger

class LoggerFactoryDefault(logger_type: Literal['tensorboard', 'wandb'] = 'tensorboard', wandb_project: str | None = None)

create_logger(log_dir: str, experiment_name: str, run_id: str | None, config_dict: dict) → BaseLogger

Creates the logger.

Parameters:

• log_dir – path to the directory in which log data is to be stored

• experiment_name – the name of the job, which may contain os.path.sep

• run_id – a unique name, which, depending on the logging framework, may be used to identify the logger

• config_dict – a dictionary with data that is to be logged

Returns:

the logger