Python SDK for Sixtyseven ML experiment tracking
Project description
Sixtyseven Python SDK
Track ML experiments locally. No server setup required.
Install
pip install sixtyseven
Usage
from sixtyseven import Run
with Run(project="my-project", name="experiment-1") as run:
run.log_config({"learning_rate": 0.001, "epochs": 10})
for epoch in range(10):
loss = train_one_epoch()
run.log_metrics({"loss": loss}, step=epoch)
View Results
sixtyseven --logdir ~/.sixtyseven/logs
Opens a dashboard at http://localhost:6767
API
run.log_metrics({"loss": 0.5, "accuracy": 0.85}, step=epoch) # Log metrics
run.log_config({"lr": 0.001}) # Log config
run.add_tags(["baseline"]) # Add tags
Environment Variables
| Variable | Description | Default |
|---|---|---|
SIXTYSEVEN_LOGDIR |
Where to save logs | ~/.sixtyseven/logs |
License
MIT
Release history Release notifications | RSS feed
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