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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

Python 3.9 or later. The package is typed (py.typed; its own code passes mypy --strict).

import time

from fleetml import FleetML

fm = FleetML("<server URL>", api_key="...")  # or FLEETML_SERVER, FLEETML_API_KEY
project = fm.projects.create(f"demo-{time.strftime('%Y%m%d-%H%M%S')}")  # names are unique per server
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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Release files for fleetml 0.10.6

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