SHOGUN使ってみました
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SHOGUN is a machine learning tool that provides implementations of support vector machines, linear discriminant analysis, linear programming machines, perceptrons, hidden Markov models, and other algorithms. It has static and modular interfaces and is implemented in C++ as the libshogun library. It can be used from Python, Octave, and other languages and supports Linux, Windows, and Mac OS.
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SHOGUN使ってみました
- 1. SHOGUN 2011 4 23 9 CV PRML @yasutomo57jp ( @inco_san )
- 2. SHOGUN 1 SHOGUN 2011 4 23 9 CV PRML @yasutomo57jp ( @inco_san )
- 3. SHOGUN
- 7. • SHOGUN
- 8. • SHOGUN • 1 SHOGUN
- 9. • SHOGUN • 1 SHOGUN • Static Interface
- 10. • SHOGUN • 1 SHOGUN • Static Interface • 2 SHOGUN
- 11. • SHOGUN • 1 SHOGUN • Static Interface • 2 SHOGUN • Modular Interface
- 12. • SHOGUN • 1 SHOGUN • Static Interface • 2 SHOGUN • Modular Interface • 3 C++ ( )
- 13. • SHOGUN • 1 SHOGUN • Static Interface • 2 SHOGUN • Modular Interface • 3 C++ ( ) • libshogun
- 14. • SHOGUN • 1 SHOGUN • Static Interface • 2 SHOGUN • Modular Interface • 3 C++ ( ) • libshogun
- 15. • SHOGUN • 1 SHOGUN • Static Interface • 2 SHOGUN • Modular Interface • 3 C++ ( ) • libshogun
- 16. SHOGUN
- 17. SHOGUN •
- 18. SHOGUN • • SVM !
- 19. SHOGUN • • SVM ! • SVM OCAS, Liblinear, LibSVM, SVMLight, SVMLin, GPDT
- 20. SHOGUN • • SVM ! • SVM OCAS, Liblinear, LibSVM, SVMLight, SVMLin, GPDT • Linear, Polynomial, Gaussian and Sigmoid Kernel
- 21. SHOGUN • • SVM ! • SVM OCAS, Liblinear, LibSVM, SVMLight, SVMLin, GPDT • Linear, Polynomial, Gaussian and Sigmoid Kernel •
- 22. SHOGUN • SVM !! • LDA : Linear Discriminant Analysis • LPM : Linear Programming Machine • (Kernel) Perceptron • HMM
- 23. SHOGUN • •
- 24. SHOGUN
- 25. Q. Matlab
- 27. Q. Matlab
- 28. Octave
- 29. Python
- 30. Python
- 31. Q. C++ …
- 32. …
- 33. …
- 34. SHOGUN
- 35. SHOGUN
- 40. • Static Interface • • • Modular Interface • Python Octave • • libshogun • C++ •
- 41. • Static Interface • • • Modular Interface • Python Octave • • libshogun • C++ •
- 45. Windows Linux (Ubuntu) Cygwin sudo apt-get install shogun http://www.shogun-toolbox.org/#releases
- 46. Windows Linux (Ubuntu) Cygwin sudo apt-get install shogun http://www.shogun-toolbox.org/#releases Mac sudo port install shogun
- 47. Windows Linux (Ubuntu) Cygwin sudo apt-get install shogun http://www.shogun-toolbox.org/#releases Mac sudo port install shogun OK
- 49. SVM •• libsvm (Cmdline ) set_kernel GAUSSIAN REAL 10 1.2 set_features TRAIN ../data/fm_train_real.dat set_labels TRAIN ../data/label_train_twoclass.dat new_classifier LIBSVM c1 train_classifier save_classifier libsvm.model load_classifier libsvm.model LIBSVM set_features TEST ../data/fm_test_real.dat out.txt=classify
- 50. SVM •• libsvm (Cmdline ) set_kernel GAUSSIAN REAL 10 1.2 (cache, kernel width) set_features TRAIN ../data/fm_train_real.dat set_labels TRAIN ../data/label_train_twoclass.dat new_classifier LIBSVM c1 train_classifier save_classifier libsvm.model load_classifier libsvm.model LIBSVM set_features TEST ../data/fm_test_real.dat out.txt=classify
- 51. SVM •• libsvm (Cmdline ) set_kernel GAUSSIAN REAL 10 1.2 (cache, kernel width) set_features TRAIN ../data/fm_train_real.dat set_labels TRAIN ../data/label_train_twoclass.dat new_classifier LIBSVM c1 train_classifier save_classifier libsvm.model load_classifier libsvm.model LIBSVM set_features TEST ../data/fm_test_real.dat out.txt=classify
- 52. SVM •• libsvm (Cmdline ) set_kernel GAUSSIAN REAL 10 1.2 (cache, kernel width) set_features TRAIN ../data/fm_train_real.dat set_labels TRAIN ../data/label_train_twoclass.dat new_classifier LIBSVM c1 train_classifier save_classifier libsvm.model load_classifier libsvm.model LIBSVM set_features TEST ../data/fm_test_real.dat out.txt=classify
- 53. SVM •• libsvm (Cmdline ) set_kernel GAUSSIAN REAL 10 1.2 (cache, kernel width) set_features TRAIN ../data/fm_train_real.dat set_labels TRAIN ../data/label_train_twoclass.dat new_classifier LIBSVM libsvm c1 train_classifier save_classifier libsvm.model load_classifier libsvm.model LIBSVM set_features TEST ../data/fm_test_real.dat out.txt=classify
- 54. SVM •• libsvm (Cmdline ) set_kernel GAUSSIAN REAL 10 1.2 (cache, kernel width) set_features TRAIN ../data/fm_train_real.dat set_labels TRAIN ../data/label_train_twoclass.dat new_classifier LIBSVM libsvm c1 C 1 train_classifier save_classifier libsvm.model load_classifier libsvm.model LIBSVM set_features TEST ../data/fm_test_real.dat out.txt=classify
- 55. SVM •• libsvm (Cmdline ) set_kernel GAUSSIAN REAL 10 1.2 (cache, kernel width) set_features TRAIN ../data/fm_train_real.dat set_labels TRAIN ../data/label_train_twoclass.dat new_classifier LIBSVM libsvm c1 C 1 train_classifier SVM save_classifier libsvm.model load_classifier libsvm.model LIBSVM set_features TEST ../data/fm_test_real.dat out.txt=classify
- 56. SVM •• libsvm (Cmdline ) set_kernel GAUSSIAN REAL 10 1.2 (cache, kernel width) set_features TRAIN ../data/fm_train_real.dat set_labels TRAIN ../data/label_train_twoclass.dat new_classifier LIBSVM libsvm c1 C 1 train_classifier SVM save_classifier libsvm.model load_classifier libsvm.model LIBSVM set_features TEST ../data/fm_test_real.dat out.txt=classify
- 57. SVM •• libsvm (Cmdline ) set_kernel GAUSSIAN REAL 10 1.2 (cache, kernel width) set_features TRAIN ../data/fm_train_real.dat set_labels TRAIN ../data/label_train_twoclass.dat new_classifier LIBSVM libsvm c1 C 1 train_classifier SVM save_classifier libsvm.model load_classifier libsvm.model LIBSVM set_features TEST ../data/fm_test_real.dat out.txt=classify
- 58. SVM •• libsvm (Cmdline ) set_kernel GAUSSIAN REAL 10 1.2 (cache, kernel width) set_features TRAIN ../data/fm_train_real.dat set_labels TRAIN ../data/label_train_twoclass.dat new_classifier LIBSVM libsvm c1 C 1 train_classifier SVM save_classifier libsvm.model load_classifier libsvm.model LIBSVM set_features TEST ../data/fm_test_real.dat out.txt=classify
- 59. SVM •• libsvm (Cmdline ) set_kernel GAUSSIAN REAL 10 1.2 (cache, kernel width) set_features TRAIN ../data/fm_train_real.dat set_labels TRAIN ../data/label_train_twoclass.dat new_classifier LIBSVM libsvm c1 C 1 train_classifier SVM save_classifier libsvm.model load_classifier libsvm.model LIBSVM set_features TEST ../data/fm_test_real.dat out.txt=classify out.txt
- 60. •• libsvm (Cmdline ) set_kernel SIGMOID REAL 50 3 0 (cache, gamma, coeff) set_features TRAIN ../data/fm_train_real.dat set_labels TRAIN ../data/label_train_twoclass.dat new_classifier LIBSVM libsvm c1 C 1 train_classifier SVM save_classifier libsvm.model load_classifier libsvm.model LIBSVM set_features TEST ../data/fm_test_real.dat out.txt=classify out.txt
- 61. SVM •• svmlight (Cmdline ) set_kernel GAUSSIAN REAL 10 1.2 set_features TRAIN ../data/fm_train_real.dat set_labels TRAIN ../data/label_train_twoclass.dat new_classifier LIGHT c1 train_classifier save_classifier libsvm.model load_classifier libsvm.model LIBSVM set_features TEST ../data/fm_test_real.dat out.txt=classify
- 62. SVM •• svmlight (Cmdline ) set_kernel GAUSSIAN REAL 10 1.2 (cache, kernel width) set_features TRAIN ../data/fm_train_real.dat set_labels TRAIN ../data/label_train_twoclass.dat new_classifier LIGHT c1 train_classifier save_classifier libsvm.model load_classifier libsvm.model LIBSVM set_features TEST ../data/fm_test_real.dat out.txt=classify
- 63. SVM •• svmlight (Cmdline ) set_kernel GAUSSIAN REAL 10 1.2 (cache, kernel width) set_features TRAIN ../data/fm_train_real.dat set_labels TRAIN ../data/label_train_twoclass.dat new_classifier LIGHT c1 train_classifier save_classifier libsvm.model load_classifier libsvm.model LIBSVM set_features TEST ../data/fm_test_real.dat out.txt=classify
- 64. SVM •• svmlight (Cmdline ) set_kernel GAUSSIAN REAL 10 1.2 (cache, kernel width) set_features TRAIN ../data/fm_train_real.dat set_labels TRAIN ../data/label_train_twoclass.dat new_classifier LIGHT c1 train_classifier save_classifier libsvm.model load_classifier libsvm.model LIBSVM set_features TEST ../data/fm_test_real.dat out.txt=classify
- 65. SVM •• svmlight (Cmdline ) set_kernel GAUSSIAN REAL 10 1.2 (cache, kernel width) set_features TRAIN ../data/fm_train_real.dat set_labels TRAIN ../data/label_train_twoclass.dat new_classifier LIGHT libsvm c1 train_classifier save_classifier libsvm.model load_classifier libsvm.model LIBSVM set_features TEST ../data/fm_test_real.dat out.txt=classify
- 66. SVM •• svmlight (Cmdline ) set_kernel GAUSSIAN REAL 10 1.2 (cache, kernel width) set_features TRAIN ../data/fm_train_real.dat set_labels TRAIN ../data/label_train_twoclass.dat new_classifier LIGHT libsvm c1 C 1 train_classifier save_classifier libsvm.model load_classifier libsvm.model LIBSVM set_features TEST ../data/fm_test_real.dat out.txt=classify
- 67. SVM •• svmlight (Cmdline ) set_kernel GAUSSIAN REAL 10 1.2 (cache, kernel width) set_features TRAIN ../data/fm_train_real.dat set_labels TRAIN ../data/label_train_twoclass.dat new_classifier LIGHT libsvm c1 C 1 train_classifier SVM save_classifier libsvm.model load_classifier libsvm.model LIBSVM set_features TEST ../data/fm_test_real.dat out.txt=classify
- 68. SVM •• svmlight (Cmdline ) set_kernel GAUSSIAN REAL 10 1.2 (cache, kernel width) set_features TRAIN ../data/fm_train_real.dat set_labels TRAIN ../data/label_train_twoclass.dat new_classifier LIGHT libsvm c1 C 1 train_classifier SVM save_classifier libsvm.model load_classifier libsvm.model LIBSVM set_features TEST ../data/fm_test_real.dat out.txt=classify
- 69. SVM •• svmlight (Cmdline ) set_kernel GAUSSIAN REAL 10 1.2 (cache, kernel width) set_features TRAIN ../data/fm_train_real.dat set_labels TRAIN ../data/label_train_twoclass.dat new_classifier LIGHT libsvm c1 C 1 train_classifier SVM save_classifier libsvm.model load_classifier libsvm.model LIBSVM set_features TEST ../data/fm_test_real.dat out.txt=classify
- 70. SVM •• svmlight (Cmdline ) set_kernel GAUSSIAN REAL 10 1.2 (cache, kernel width) set_features TRAIN ../data/fm_train_real.dat set_labels TRAIN ../data/label_train_twoclass.dat new_classifier LIGHT libsvm c1 C 1 train_classifier SVM save_classifier libsvm.model load_classifier libsvm.model LIBSVM set_features TEST ../data/fm_test_real.dat out.txt=classify
- 71. SVM •• svmlight (Cmdline ) set_kernel GAUSSIAN REAL 10 1.2 (cache, kernel width) set_features TRAIN ../data/fm_train_real.dat set_labels TRAIN ../data/label_train_twoclass.dat new_classifier LIGHT libsvm c1 C 1 train_classifier SVM save_classifier libsvm.model load_classifier libsvm.model LIBSVM set_features TEST ../data/fm_test_real.dat out.txt=classify out.txt
- 72. Python • sg ( from sg import sg ) • sg OK • Cmdline set_feature TEST data.dat • Python sg(‘set_feature’, ‘TEST’, ‘data.dat’) http://www.shogun-toolbox.org/doc/static_tutorial.html
- 74. • SHOGUN
- 75. • SHOGUN •3
- 76. • SHOGUN •3 • Static Interface,Modular Interface, libshogun
- 77. • SHOGUN •3 • Static Interface,Modular Interface, libshogun • Static Interface
- 78. • SHOGUN •3 • Static Interface,Modular Interface, libshogun • Static Interface •
- 79. • SHOGUN •3 • Static Interface,Modular Interface, libshogun • Static Interface •
- 80. • SHOGUN •3 • Static Interface,Modular Interface, libshogun • Static Interface • Modular Interface
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