Track your ML experiments in one dashboard.
Helps users track ML training runs, compare results, tune hyperparameters, and version datasets and models in W&B.
When to use it
Use when tracking experiments, visualizing training, comparing runs, optimizing hyperparameters, or managing model and dataset lineage.
Give it an ML training project; it records experiment configuration and training metrics in W&B.
What you provide
The tracking examples run as Python code.
Uses the wandb Python package, which the skill declares as a dependency and provides an installation command for.
This skill
W&B
Uploads experiment data to W&B
wandb
Installs the wandb package