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001_christine.py
001_jasmine.py
001_madeline.py
001_philippine.py
001_sylvine.py
002_albert.py
002_dilbert.py
002_fabert.py
002_robert.py
002_volkert.py
003_alexis.py
003_dionis.py
003_grigoris.py
003_jannis.py
003_wallis.py UPDATE add code for final 3 Feb 26, 2016
004_evita.py
004_flora.py
004_helena.py
004_tania.py
004_yolanda.py
DeepFeedNet.py
FeedForwardNet.py
LICENSE
README.md
RegDeepNet.py

README.md

Code to reproduce tweakathon submissions of the team aad_freiburg for the Chalearn Automatic Machine Learning Challenge 2015

Final 1

Code runs with ParamSklearn and auto-sklearn as in http://aad.informatik.uni-freiburg.de/downloads/automl_competition_2015_001.zip

Final 2

Code runs with ParamSklearn and auto-sklearn as in http://aad.informatik.uni-freiburg.de/downloads/automl_competition_2015_002.zip

Final 3

Code runs with auto-sklearn as in http://aad.informatik.uni-freiburg.de/downloads/automl_competition_2015_003.zip To obtain predictions for alexis, one has to install Lasagne and Theano.

Final 4

Code runs with development branch of auto-sklearn as of commit b76a2b8e51856f7a2f9db53082b6d0f1cb23ed5a (https://github.com/automl/auto-sklearn/commit/b76a2b8e51856f7a2f9db53082b6d0f1cb23ed5a). To obtain predictions for dataset 4 and 5 one needs lasagne and theano as written in the respective python files.