Project details for peewit

Screenshot peewit 0.8

by lorenz - July 9, 2012, 23:32:20 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ]

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Description:

peewit intends to facilitate programming, running and result examination of machine learning experiments. It does not provide any sort of ML data types, engine, or interfaces, but it gives assistance in avoiding mess. The user is to decompose the experimental code into named nodes that correpsond to aspects or dimension of an experiment. Since this breakdown is readable for machines too, simple services can be precoded that help to keep track of the dimensions. peewit also puts some regime on output files, helps in recovering former versions, and handles simple parallelization.

Be aware that the implementation has deficiencies: it is weakly tested, many doc-string are missing, erroneous calls are not always caught by helpful error messages, and there is much left for smaller and greater amendments. At least, the examples are decorated with many explicatory comments.

The core modules depend on python 2.x and numpy only but for full func­tion­al­i­ty you fur­ther have to pro­vide uni­son, ssh with agent, git, and matplotlib, as well as lib­svm for the ex­am­ple project. Feel free to contact us for questions.​

Changes to previous version:

core rewrite

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
0.10

v-cube with side-cubes

May 7, 2014, 16:04:18
0.9

switched to python-3

February 11, 2013, 21:21:05
0.8

core rewrite

July 9, 2012, 23:32:20
0.7

semi-uniform v-cubes

November 4, 2011, 19:54:09
0.6

archiving services

September 18, 2010, 16:22:01
0.5

parallelization services

August 18, 2010, 14:00:21
0.4

platform-independent path handling

July 21, 2010, 15:05:31
0.3

incremental e-tree definitions

May 12, 2010, 21:44:21
0.2

self-referential descent inputs

May 4, 2010, 13:30:36
0.1

services for arg-aggregations

April 26, 2010, 11:17:50
0.0

Initial Announcement on mloss.org.

April 23, 2010, 23:14:51

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