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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for ServeIt-0.0.3b3-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | bf1a9f4bb52c426c77673bc838266b507518afe65e3800265d915b80b5c14f5f |
|
MD5 | 46e9ea4b625f18a7a464a0f6efb9c063 |
|
BLAKE2b-256 | 0114d415856a08c930db2b49b088b5f893431fbe429f675772cf2f929a9d0680 |