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fleetml

The Python client for FleetML, the self-hosted platform that rolls models out to Android, iOS and Linux devices with canaries, automatic rollback, A/B experiments and drift detection.

From a training pipeline, a notebook or CI: push a model, start a rollout, wait for it, and read what the fleet reports. It speaks the server's REST API, with the same words as the fleetml CLI, and depends only on httpx.

pip install fleetml

pip install fleetml works from 0.6.0; until then, pip install ./python from a clone of the repository.

from fleetml import FleetML

fm = FleetML("http://localhost:18080", api_key="...")  # or FLEETML_SERVER, FLEETML_API_KEY
project = fm.projects.create("demo")
version = fm.push("model.tflite", project=project.id, model="iris", version="1.0.0")
deployment = fm.deployments.start(fm.deployments.create(project.id, version.id).id)
print(fm.wait_for_deployment(deployment.id).status)

Documentation: docs/PYTHON_CLIENT.md. License: Apache-2.0.

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