Analyzing experiments#
To follow the provided examples, make sure you installed
SQLTrack with the full
optional deptendencies:
pip install sqltrack[full]
.
Important
Whichever platform you choose and what you do with it is up to you. These examples are meant to guide and inspire.
Jupyter notebooks#
Our first example is a Jupyter notebook (see examples/notebook.ipynb) that recreates an mlflow-like experience through SQLTrack, but with some important improvements, like displaying the best metric value for a run instead of the latest.
[Optional] Self-signed SSL certificate#
You can create a SSL self-signed certificate to use Juypter Lab with HTTPS:
openssl req -x509 -newkey rsa:4096 -keyout jupyter.key -out jupyter.crt -sha256 -days 365 -nodes
Start Jupyter Lab with your certificate:
jupyter-lab [options...] --certfile jupyter.crt --keyfile jupyter.key
Plotly Dash#
Todo
Create a custom UI with Dash.