4 ms·
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
by gms 14y ago
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.html http://www.cs.cornell.edu/people/tj/svm_light/svm_struct.htm...) or JLIS (http://flake.cs.uiuc.edu/~mchang21/softwares/JLIS/indirect.html http://flake.cs.uiuc.edu/~mchang21/softwares/JLIS/indirect.h...).
Though note that both libraries are free for non-commercial use only.
- t3kcit 14y agoOr you could use pystruct: https://github.com/amueller/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).
- gms 14y agoI had no idea your project existed; thanks for sharing.
- t3kcit 14y agoI did a another post on that one. http://peekaboo-vision.blogspot.de/2013/01/pystruct-more-structured-prediction.html http://peekaboo-vision.blogspot.de/2013/01/pystruct-more-str... The post still needs some more detail, though.