ServeIt 0.0.3b4

Machine learning prediction serving

ServeIt lets you easily serve model predictions and supplementary information from a RESTful API. Current features include:

1. Model inference serving via RESTful API endpoint

2. Extensible library for inference-time data loading, preprocessing, input validation, and postprocessing

3. Supplementary information endpoint creation

4. Automatic JSON serialization of responses

5. 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

MIT