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Open In Colab License Platform

Quickstart 🚀

Launch an ML training experiment on tracebloc in under 10 minutes. Connect your account, upload a model, link it to a dataset, configure training parameters, and start benchmarking — all from a single notebook.

Get started

Option A: Google Colab (recommended)

No local setup. Click the badge above or:

👉 Open in Google Colab

Copy the notebook to your Drive and start running cells.

Option B: Run locally

git clone https://github.com/tracebloc/quickstart.git
cd quickstart

# Pick the extra that matches your ML framework:
pip install "tracebloc[pytorch]>=1.2.42"  # most common
# pip install "tracebloc[sklearn]>=1.2.42" # scikit-learn / boosting
# pip install "tracebloc[all]>=1.2.42"     # everything

jupyter notebook notebooks/traceblocTrainingGuide.ipynb

Which Pythons work: whatever the SDK's own package metadata declares — see tracebloc on PyPI. This README deliberately does not repeat the range; a copy here would go stale against the package, which is exactly the failure this notebook was fixed for.

If pip answers No matching distribution found for tracebloc, that most often means your interpreter is outside that range rather than the package being missing — but it can also mean an unreachable index or a custom --index-url. The install cell prints pip's own answer either way: on failure it shows the range pip actually read alongside the Python you are on. On macOS the default python3 is frequently ahead of the supported range, so check python3 --version first when running locally.

TensorFlow uploads were removed in SDK 1.0.0, so there is no [tensorflow] extra — the extras are [pytorch], [sklearn], [catboost], [lightgbm], [xgboost], [lifelines], [scikit-survival] and [all].

What the notebook covers

Step What you do
1 Connect to tracebloc with your email + password
2 Upload a model from the model zoo or your own
3 Link it to a dataset from your use case
4 Configure training — epochs, batch size, learning rate, augmentation
5 Start training — model runs inside your secure Kubernetes environment

Results appear on the use case leaderboard in the tracebloc web app.

Before you start

Links

Platform · Docs · Model zoo · PyPI package · Discord

License

Apache 2.0 — see LICENSE.

Need help? support@tracebloc.io or open an issue.