Description:

Adenine is a machine learning framework for data exploration. Its goal is to help researchers and data scientists achieving a first and quick overview on the main structures underlying their data and choosing the most suitable unsupervised learning pipeline for the problem at hand. This software tool encompasses state-of-the-art techniques for missing values imputing, data preprocessing, unsupervised feature learning and clustering tasks. Adenine exploits parallel computing paradigms and it can distribute the computations on multiple cores as well as on multiple machines via MPI. Adenine is capable of generating nice and clean publication-ready plots along with quantitative descriptions of pipeline results.

Changes to previous version:

• Adenine can now distribute the execution of its pipelines on multiple machines via MPI
• kNN data imputing strategy is now implemented
• added python 2.7 and 3.5 support
• stability improved and bug fixed

BibTeX Entry: Download

Supported Operating Systems: Linux, Os X

Data Formats: Csv, Npy

Tags: Clustering, Dimensionality Reduction, Unsupervised Learning, Data Exploration

Archive: download here

Other available revisons

Version	Changelog	Date
0.1.4	Adenine can now distribute the execution of its pipelines on multiple machines via MPI kNN data imputing strategy is now implemented added python 2.7 and 3.5 support stability improved and bug fixed	February 17, 2017, 14:50:49
0.1.3	Initial Announcement on mloss.org.	June 13, 2016, 11:10:36

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