Python client SDK for Stamm federated learning registry
Project description
Stamm SDK
Lightweight Python SDK to interact with the Stamm ML registry API (FastAPI backend), including auth and model inference/update endpoints.
Install Dependencies
Use uv in this repository:
uv sync
Quick Start
from stamm_sdk import Client
sdk = Client(base_url="http://188.245.241.118:8080")
sdk.login(email="you@example.com", password="your-password")
projects = sdk.ml.list_projects()
print(projects)
prediction = sdk.ml.predict(
project_id="your-project-id",
model_id="your-model-id",
features={"temperature": 24.7, "ph": 6.8},
)
print(prediction)
sdk.logout()
sdk.close()
Implemented Modules
stamm_sdk.core: config and authenticated HTTP sessionstamm_sdk.registry: ML endpoint wrappers, artifact bundle, storage managerstamm_sdk.schemas: pydantic schemas for model/federation metadatastamm_sdk.tracking: local experiment logger with optional remote pushstamm_sdk.learning: centralized/federated stubs for training orchestration
Environment Variables
STAMM_API_BASE_URL: default API base URLSTAMM_API_TIMEOUT: request timeout in seconds
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