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https://github.com/ottogroup/palladium

Framework for setting up predictive analytics services
https://github.com/ottogroup/palladium

data-science machine-learning scikit-learn

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Framework for setting up predictive analytics services

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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.



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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 `_ 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 `_.



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 `_