easy_install digipy & mlboost
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The document promotes the digipy and mlboost Python packages for machine learning. It summarizes the digipy tools and new UI, provides steps for easy installation, and demonstrates the packages' capabilities for tasks like handwritten digit recognition and feature extraction. The author, Francis Pieraut, encourages questions and thanks other contributors.
easy_install digipy & mlboost
- 1. Review Montreal-Python 6 easy install digipy digipy new UI digipy tools Demo Questions? easy install digipy & easy install mlboost (Machine Learning empowered by Python) Francis Pieraut http://fraka6.blogspot.com/ http://bitbucket.org/fraka6/digipy/ [email protected] July 6, 2009 Francis Pieraut http://fraka6.blogspot.com/ http://bitbucket.org/fraka6/digipy/ [email protected] easy install digipy & easy install mlboost (Machine Learning em
- 2. Review Montreal-Python 6 easy install digipy digipy new UI digipy tools Demo Questions? Machine Learning empowered by Python Review Machine Learning 101 ⇒ Features Extraction FE/Visualization/Demo/...⇒ Python (mlboost) Hand writing digit recognition demo⇒ digipy Francis Pieraut http://fraka6.blogspot.com/ http://bitbucket.org/fraka6/digipy/ [email protected] easy install digipy & easy install mlboost (Machine Learning em
- 3. Review Montreal-Python 6 easy install digipy digipy new UI digipy tools Demo Questions? easy install digipy 4 steps pushing package to pypi is easy: python setup.py sdist upload (The Python Package Index) code on mercurial host: http://bitbucket.org/fraka6/digipy/ Francis Pieraut http://fraka6.blogspot.com/ http://bitbucket.org/fraka6/digipy/ [email protected] easy install digipy & easy install mlboost (Machine Learning em
- 4. Review Montreal-Python 6 easy install digipy digipy new UI digipy tools Demo Questions? digipy or digipy –test -e opt mlboost.nn(numpy) = 10X slower flayers(C++) Francis Pieraut http://fraka6.blogspot.com/ http://bitbucket.org/fraka6/digipy/ [email protected] easy install digipy & easy install mlboost (Machine Learning em
- 5. Review Montreal-Python 6 easy install digipy digipy new UI digipy tools Demo Questions? digipy-train -f digits.csv Francis Pieraut http://fraka6.blogspot.com/ http://bitbucket.org/fraka6/digipy/ [email protected] easy install digipy & easy install mlboost (Machine Learning em
- 6. Review Montreal-Python 6 easy install digipy digipy new UI digipy tools Demo Questions? digipy-features2D -C 0,8 -f fe-digits-opt.csv Francis Pieraut http://fraka6.blogspot.com/ http://bitbucket.org/fraka6/digipy/ [email protected] easy install digipy & easy install mlboost (Machine Learning em
- 7. Review Montreal-Python 6 easy install digipy digipy new UI digipy tools Demo Questions? Noise Robustnesss: Raw Pixels vs Extracted Features Do we really need preprocessing? Francis Pieraut http://fraka6.blogspot.com/ http://bitbucket.org/fraka6/digipy/ [email protected] easy install digipy & easy install mlboost (Machine Learning em
- 8. Review Montreal-Python 6 easy install digipy digipy new UI digipy tools Demo Questions? Fast Demo 64 raw pixel + noise 11 Features + noise Francis Pieraut http://fraka6.blogspot.com/ http://bitbucket.org/fraka6/digipy/ [email protected] easy install digipy & easy install mlboost (Machine Learning em
- 9. Review Montreal-Python 6 easy install digipy digipy new UI digipy tools Demo Questions? Any questions? ... A special thanks to Yannick Gingras, Pierre-Alexandre Fournier, Jeremy Barnes and Caroline easy install digipy http://fraka6.blogspot.com/ http://bitbucket.org/fraka6/digipy/ http://bitbucket.org/fraka6/mlboost/ http://bitbucket.org/fraka6/flayers/ icml2009 was great! http://www.cs.mcgill.ca/ icml2009 .. Thanks, Francis Pieraut - alias Fraka6 [email protected] Francis Pieraut http://fraka6.blogspot.com/ http://bitbucket.org/fraka6/digipy/ [email protected] easy install digipy & easy install mlboost (Machine Learning em