Metadata-Version: 1.1
Name: ServeIt
Version: 0.0.8
Summary: Machine learning prediction serving
Home-page: https://github.com/rtlee9/serveit
Author: Ryan Lee
Author-email: ryantlee9@gmail.com
License: UNKNOWN
Description-Content-Type: UNKNOWN
Description: # ServeIt
        [![Build Status](https://travis-ci.org/rtlee9/serveit.svg?branch=master)](https://travis-ci.org/rtlee9/serveit)
        [![Codacy Grade Badge](https://api.codacy.com/project/badge/Grade/2af32a3840d5441e815f3956659b091f)](https://www.codacy.com/app/ryantlee9/serveit)
        [![Codacy Coverage Badge](https://api.codacy.com/project/badge/Coverage/2af32a3840d5441e815f3956659b091f)](https://www.codacy.com/app/ryantlee9/serveit)
        [![PyPI version](https://badge.fury.io/py/ServeIt.svg)](https://badge.fury.io/py/ServeIt)
        
        ServeIt lets you serve model predictions and supplementary information from a RESTful API using your favorite Python ML library in as little as one line of code:
        
        ```python
        from serveit.server import ModelServer
        from sklearn.linear_model import LogisticRegression
        from sklearn.datasets import load_iris
        
        # fit logistic regression on Iris data
        clf = LogisticRegression()
        data = load_iris()
        clf.fit(data.data, data.target)
        
        # initialize server with a model and start serving predictions
        ModelServer(clf, clf.predict).serve()
        ```
        
        Your new API is now accepting `POST` requests at `localhost:5000/predictions`! Please see the [examples](examples) directory for detailed examples across domains (e.g., regression, image classification), including live examples.
        
        #### Features
        Current ServeIt features include:
        
        1. Model inference serving via RESTful API endpoint
        1. Extensible library for inference-time data loading, preprocessing, input validation, and postprocessing
        1. Supplementary information endpoint creation
        1. Automatic JSON serialization of responses
        1. Configurable request and response logging (work in progress)
        
        #### Supported libraries
        The following libraries are currently supported:
        * Scikit-Learn
        * Keras
        * PyTorch
        
        ## Installation: Python 2.7 and Python 3.6
        Installation is easy with pip: `pip install serveit`
        
        ## Building
        You can build locally with: `python setup.py`
        
        ## License
        [MIT](LICENSE.md)
        
        Please consider buying me a coffee if you like my work:
        
        <a href="https://www.buymeacoffee.com/6Ii7vzL" target="_blank"><img src="https://www.buymeacoffee.com/assets/img/custom_images/orange_img.png" alt="Buy Me A Coffee" style="height: auto !important;width: auto !important;" ></a>
        
Keywords: machine learning model deployment serving API RESTful
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Internet :: WWW/HTTP :: WSGI :: Server
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
