Quick start¶
This page gives the shortest path from cloning the repository to seeing a tracked experiment in Aim.
Clone the repository¶
git clone https://github.com/CosmosRedshift7/ml-template.git
cd ml-template
Install dependencies¶
pixi install
This creates a local Pixi environment from pyproject.toml and pixi.lock.
Run training¶
pixi run train
This trains the example model and writes local outputs under:
local/
Typical outputs include:
local/aim/
local/checkpoints/
local/figures/
Open Aim UI¶
pixi run aim-ui
Then open:
http://127.0.0.1:43800
In Aim, open the ml-template experiment to view metrics, parameters, and tracked figures.
Evaluate¶
After training, evaluate the best checkpoint:
pixi run evaluate
By default, this evaluates:
local/checkpoints/best.ckpt
Recommended first check¶
Before editing the template, run:
pixi run pytest
This confirms that the project imports correctly and the smoke tests pass.