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Mapping Learning

Project description

# Mapping Learning # ![logo_100.png](https://bitbucket.org/repo/5Rn74B/images/2433912438-logo_100.png)

Mapping Learning se veut un outil pour assister l’utilisateur dans une tache de cartographie automatisee (d’images issues de teledetection, notamment). Il donne acces a un grand nombre d’algorithmes issus du domaine du Machine Learning, ainsi que des moyens pour les appliquer a des jeux de donnees de differentes natures (tableau, image, donnees vectorielles).

## Fonctionnalites ##

  • Nombreux algorithmes de classification supervisee et non supervisee, et de regression

  • Emploi de methode robuste (k-fold) et possibilite d’optimiser les algorithmes

  • Plusieurs pretraitements : reductions de dimensions…

  • Lecture/Ecriture d’une grande variete de formats de fichiers, geographiques ou non

  • Rendu du resultat sous la forme d’un rapport standardise

  • Accompagnement de l’utilisateur avec des conseils statistiques ou empiriques

## Developpement ##

Mapping Learning est developpe en Python et fait appel a des librairies Open Source dont scikit-learn et mlpy pour les algorithmes de Machine Learning, osgeo (Gdal/Ogr) pour la manipulation des donnees geographiques.

Mapping Learning est un logiciel libre, sous licence LGPL v3. Alban Thomas (alban.thomas@univ-rennes2.fr)

![letg.jpeg](https://bitbucket.org/repo/5Rn74B/images/1800694338-letg.jpeg)![sgdn.jpeg](https://bitbucket.org/repo/5Rn74B/images/612087003-sgdn.jpeg)![ur2.png](https://bitbucket.org/repo/5Rn74B/images/2154561398-ur2.png)

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