Quickstart¶

To getting started with the library, we must notice that our library are using 3rd machine learning platform to upload, visualize our result, analysis or summary into their dashboard. With very first version of uetai, we only support Comet ML which is a great tracking experiment tools with very helpful customizable panel and well-writen documentation.

Log in or Sign up to Comet ML and start using tracking every though our library.

Tip

Did you know that you can do pretty much everything you can with Comet ML using our uetai?

Install uetai¶

To getting started with uetai, user can install with pip or install from original repository by run the following command:

pip install uetai

git clone git@github.com:UETAILab/uetai.git; cd uetai
pip install -e .

Attention

While we are not automated publishing our library to PyPI, we recommend user install through git repository.

Start logging¶

To start logging your metrics, results or metadata, initialize a logger

from uetai.logger import CometLogger

logger = CometLogger(project_name="uetai-example")
logger.log({'metric': 0.3, 'acc': 0.9})  # logging