Project details for peewit

Logo peewit 0.5

by lorenz - August 18, 2010, 14:00:21 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ]

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Peewit intends to facilitate programming, running and result examination of machine learning experiments. It does not provide any sort of ML code but also makes little assumptions on the sort of experiments the user wants to accomplish. Can it be of any use then?

That is the question we want to pursue with peewit. The concept of the framework is based on two observations:

1) Machine learning experiment often have a regular tree structure.

2) Experimentors happen to puzzle about which numbers belong to what parameters the next day.

Peewit is restricted to experiments that fulfill a certain uniformity in the relation of the experimental components. It demands from the user to term things and rewards this by an increased live-time of names.

Be aware that the implementation still is raw: not all methods come with a doc-strings and erroneous calls are rarely caught by helpful error messages. At least, the examples are decorated with many explicatory comments.

Changes to previous version:

parallelization services

BibTeX Entry: Download
Corresponding Paper BibTeX Entry: Download
URL: Project Homepage
Supported Operating Systems: Posix
Data Formats: Agnostic
Tags: Workflow
Archive: download here

Other available revisons

Version Changelog Date

v-cube with side-cubes

May 7, 2014, 16:04:18

switched to python-3

February 11, 2013, 21:21:05

core rewrite

July 9, 2012, 23:32:20

semi-uniform v-cubes

November 4, 2011, 19:54:09

archiving services

September 18, 2010, 16:22:01

parallelization services

August 18, 2010, 14:00:21

platform-independent path handling

July 21, 2010, 15:05:31

incremental e-tree definitions

May 12, 2010, 21:44:21

self-referential descent inputs

May 4, 2010, 13:30:36

services for arg-aggregations

April 26, 2010, 11:17:50

Initial Announcement on

April 23, 2010, 23:14:51


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