Metadata-Version: 2.1
Name: palladium
Version: 1.2.3
Summary: Framework for setting up predictive analytics services
Home-page: https://github.com/ottogroup/palladium
Author: Otto Group
Author-email: palladium@ottogroup.com
License: Apache License, Version 2.0
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            :alt: License
        
        Palladium
        =========
        
        Palladium provides means to easily set up predictive
        analytics services as web services.  It is a **pluggable framework**
        for developing real-world **machine learning solutions**.  It provides
        generic implementations for things commonly needed in machine
        learning, such as dataset loading, model training with parameter
        search, a web service, and persistence capabilities, allowing you to
        concentrate on the core task of developing an accurate machine
        learning model.  Having a well-tested core framework that is used for
        a number of different services can lead to a reduction of costs during
        development and maintenance due to harmonization of different services
        being based on the same code base and identical processes. Palladium
        has a web service overhead of a few milliseconds only, making it
        possible to **set up services with low response times**.
        
        A **configuration file** lets you conveniently tie together existing
        components with components that you developed.  As an example, if what
        you want to do is to develop a model where you load a dataset from a
        CSV file or an SQL database, and train an SVM classifier to predict
        one of the rows in the data given the others, and then find out about
        your model's accuracy, then that's what Palladium allows you to do
        **without writing a single line of code**. However, it is also
        possible to independently integrate own solutions.
        
        .. image:: https://raw.githubusercontent.com/ottogroup/palladium/master/docs/palladium_illustration.png
           :width: 700px
           :align: center
           :alt: Illustration of Palladium
        
        |
        
        Much of Palladium's functionality is based on the **scikit-learn**
        library.  Thus, a lot of times you will find yourself looking at the
        `documentation for scikit-learn <http://scikit-learn.org/>`_ when
        developing with Palladium.  Although being implemented in Python,
        Palladium provides support for other languages and is shipped with
        examples how to **integrate and expose R and Julia models**.
        
        For an efficient deployment of services based on Palladium, a script to
        **create Docker images automatically** is provided. In order to manage
        and monitor a number of Palladium service instances in a cluster,
        **Mesosphere’s Mesos framework Marathon can be used for deployment**,
        also enabling **scalability by having a variable number of service
        nodes behind a load balancer**.  Examples how to create Palladium
        Docker images and how to use them with Mesos / Marathon are part of
        the documentation. Other important aspects – especially relevant in
        enterprise contexts for setting up productive services – like
        **authentication, logging, or monitoring, can be easily integrated via
        pluggable decorator lists** in the configuration file of a service,
        keeping track of service calls and corresponding permissions.
        
        Everyone is welcome to contribute to Palladium. More information on
        how to to contribute can be found in the FAQ section of the
        `Palladium documentation <http://palladium.readthedocs.org>`_.
        
        Links
        -----
        
        - Source code repository at GitHub: https://github.com/ottogroup/palladium
        - Documentation including installation instructions and tutorial: http://palladium.readthedocs.org
        - Mailing list: https://groups.google.com/forum/#!forum/pld-list
        - Maintainer: `Andreas Lattner <https://github.com/alattner>`_
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Provides-Extra: testing
Provides-Extra: docs
Provides-Extra: julia
Provides-Extra: R
Provides-Extra: S3
