Metadata-Version: 1.1
Name: ServeIt
Version: 0.0.1.dev1
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
        
        ServeIt deploys your trained models to a RESTful API for prediction serving. Current features include:
        
        1. Model prediction serving
        1. Model info endpoint creation
        1. Logging
        
        ## Supported libraries
        * Scikit-Learn
        
        ```python
        from sklearn.datasets import load_iris
        from sklearn.linear_model import LogisticRegression
        from serveit.sklearn_server import SklearnServer
        
        # fit a model on the Iris dataset
        data = load_iris()
        reg = LogisticRegression()
        reg.fit(data.data, data.target)
        
        # deploy model to a SkLearnServer
        eds = SklearnServer(reg, reg.predict)
        
        # add informational endpoints
        eds.create_model_info_endpoint()
        eds.create_info_endpoint('features', data.feature_names)
        eds.create_info_endpoint('target_labels', data.target_names.tolist())
        
        # start API
        eds.serve()
        ```
        
        ## Limited functionality
        * TensorFlow
        * Keras
        * PyTorch
Keywords: machine learning model deployment serving API RESTful
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-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
