unilab.logging.common.BaseTrainingLogger¶
- class unilab.logging.common.BaseTrainingLogger[source]¶
Bases:
objectShared lifecycle and backend logging setup for rich training loggers.
- Parameters:
Methods
__init__(*, algo_name, max_iterations, ...)close()Release live terminal state and backend handles without printing a summary.
finish(*[, title, extra_summary])log_save(path)start(*[, status])update_ep_length(length)- __init__(*, algo_name, max_iterations, num_envs, env_name, log_dir, log_backend, wandb_project, wandb_entity, wandb_name, wandb_group, wandb_job_type, wandb_tags, wandb_notes, refresh_per_second=4, tensorboard_subdir='tb', wandb_config=None)[source]¶
- close()[source]¶
Release live terminal state and backend handles without printing a summary.
- Return type: