Installation & Setup¶
pip install labml
check_repo_dirty: true data_path: 'data' experiments_path: 'logs' analytics_path: 'analytics'
You need to create a
.labml.yaml file at the root of your project.
The values will default to above so an empty file should work for most of the use cases.
true, before running an experiment it checks and aborts if there are any uncommitted changes
data_path: The location of data files. this can be accessed via
experiments_path: This is where all the experiment details such as logs, configs and checkpoints are saved. This can be accessed via
analytics_path: ⚠️ This is where Jupyter Notebooks for custom analytics will be saved. This is still experimental.
You don’t need the .labml.yaml file if you only use
pip install labml-dashboard
Navigate to the path of the project and run the following command to start the server.