This is a pre-production deployment of Warehouse. Changes made here affect the production instance of PyPI (
Help us improve Python packaging - Donate today!

Experimental tools for parallel machine learning

Project Description

# Pyrallel - Parallel Data Analytics in Python

Overview: experimental project to investigate distributed computation patterns for machine learning and other semi-interactive data analytics tasks.


  • focus on small to medium dataset that fits in memory on a small (10+ nodes) to medium cluster (100+ nodes).
  • focus on small to medium data (with data locality when possible).
  • focus on CPU bound tasks (e.g. training Random Forests) while trying to limit disk / network access to a minimum.
  • do not focus on HA / Fault Tolerance (yet).
  • do not try to invent new set of high level programming abstractions (yet): use a low level programming model (IPython.parallel) to finely control the cluster elements and messages transfered and help identify what are the practical underlying constraints in distributed machine learning setting.

Disclaimer: the public API of this library will probably not be stable soon as the current goal of this project is to experiment.

## Dependencies

The usual suspects: Python 2.7, NumPy, SciPy.

Fetch the development version (master branch) from:

StarCluster develop branch and its IPCluster plugin is also required to easily startup a bunch of nodes with IPython.parallel setup.

## Patterns currently under investigation

  • Asynchronous & randomized hyper-parameters search (a.k.a. Randomized Grid Search) for machine learning models
  • Share numerical arrays efficiently over the nodes and make them available to concurrently running Python processes without making copies in memory using memory-mapped files.
  • Distributed Random Forests fitting.
  • Ensembling heterogeneous library models.
  • Parallel implementation of online averaged models using a MPI AllReduce, for instance using MiniBatchKMeans on partitioned data.

See the content of the examples/ folder for more details.

## License

Simplified BSD.

## History

This project started at the [PyCon 2012 PyData sprint]( as a set of proof of concept [IPython.parallel scripts](

Release History

Release History

This version
History Node


History Node


Download Files

Download Files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
pyrallel-0.2.1.tar.gz (7.9 kB) Copy SHA256 Checksum SHA256 Source Jun 20, 2013

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting