Machine Learning Cheat Sheet (for scikit-learn)

Re:Machine Learning Cheat Sheet (for scikit-learn) by gms on Saturday January 26, 2013 @10:36PM (#5122944)

For predicting structure (which takes you to 'tough luck' in the chart as it's not implemented in scikit-learn), you can use structured SVM's through either SVM-Struct (http://www.cs.cornell.edu/people/tj/svm_light/svm_struct.htm...) or JLIS (http://flake.cs.uiuc.edu/~mchang21/softwares/JLIS/indirect.h...).

Though note that both libraries are free for non-commercial use only.

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Re:Machine Learning Cheat Sheet (for scikit-learn) by t3kcit on Sunday January 27, 2013 @05:52AM (#5123874)

Or you could use pystruct: https://github.com/amueller/pystruct But I saved that for another blog post ;)

That is BSD licensed and pure Python, has some more feature than SVMstruct but is not as optimized (yet).

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Re:Machine Learning Cheat Sheet (for scikit-learn) by gms on Sunday January 27, 2013 @03:42PM (#5125579)

I had no idea your project existed; thanks for sharing.

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Re:Machine Learning Cheat Sheet (for scikit-learn) by t3kcit on Sunday January 27, 2013 @05:35PM (#5125966)

I did a another post on that one. http://peekaboo-vision.blogspot.de/2013/01/pystruct-more-str... The post still needs some more detail, though.

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