Machine learning prediction serving
Project description
ServeIt lets you easily serve model predictions and supplementary information from a RESTful API. Current features include:
Model inference serving via RESTful API endpoint
Extensible library for inference-time data loading, preprocessing, input validation, and postprocessing
Supplementary information endpoint creation
Automatic JSON serialization of responses
Configurable request and response logging (work in progress)
Installation: Python 2.7 and Python 3.6
Installation is easy with pip: pip install serveit
Usage:
Deploy your model clf to an API endpoint with as little as one line of code:
from serveit.server import ModelServer
# initialize server with a model and a method to use for predictions
# then start serving predictions
ModelServer(clf, clf.predict).serve()
Your new API is now accepting POST requests at localhost:5000/predictions! Please see the examples directory for additional usage.
Supported libraries
Scikit-Learn
Keras
Coming soon:
TensorFlow
PyTorch
Building
You can build locally with: python setup.py
License
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