Metadata-Version: 1.1
Name: ServeIt
Version: 0.0.9a0
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| |Codacy Grade Badge| |Codacy Coverage Badge| |PyPI
        version|
        
        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:
        
        .. 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
        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)
        
        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:
        
        .. |Build Status| image:: https://travis-ci.org/rtlee9/serveit.svg?branch=master
           :target: https://travis-ci.org/rtlee9/serveit
        .. |Codacy Grade Badge| image:: https://api.codacy.com/project/badge/Grade/2af32a3840d5441e815f3956659b091f
           :target: https://www.codacy.com/app/ryantlee9/serveit
        .. |Codacy Coverage Badge| image:: https://api.codacy.com/project/badge/Coverage/2af32a3840d5441e815f3956659b091f
           :target: https://www.codacy.com/app/ryantlee9/serveit
        .. |PyPI version| image:: https://badge.fury.io/py/ServeIt.svg
           :target: https://badge.fury.io/py/ServeIt
        
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
