1. Julia SVM Dawn of Julia... 1 / 14 2. Self-Introduction Name (UEKI Kokoro)twitter @uk24s Biography 1991 Born in Fukui pref. 2014 B.Agr. in The Univ. of Tokyo Present Grad Sch. of Agr., The Univ. of Tokyo 2 / 14 3. Self-Introduction My Julia Supervisor ( ) @bicycle1885 3 / 14 4. Self-Introduction Research Interests Julia Machine Learning Protein-ligand interaction 4 / 14 5. SVM packages in Julia Already exist... 5 / 14 6. SVM packages in Julia SVM.jl John Myles White linear SVM Native Julia Already Dead... (New!) 6 / 14 7. SVM packages in Julia LIBSVM.jl Simon Kornblith LIBSVM NOT Native Julia 7 / 14 8. Write Non-linear SVM in Julia! Walk into Julia World... 8 / 14 9. JuliaDeSVM.jl Algorithm Sequential Minimal Optimization (SMO) 9 / 14 10. JuliaDeSVM.jl How To Use Hard code your data in the main function. function main() # Training sample preparation. # Please, hard code your data into the following matrix. # Enjoy your life with Julia... X = [1 1; -1 -1; 0.5 0.5; 0.5 -0.5; -0.5 0.5; -0.1 -0.1] y = [1, 1, 1 -1, -1, -1] . . . end 10 / 14 11. JuliaDeSVM.jl About 150 lines for SMO # Optimization rootine numChanged = 0 examineAll = true while numChanged > 0 || examineAll numChanged = 0 if examineAll for i in 1:CONST.sampleSize numChanged += examineExample(params, y, G, errorCache, i, CONST) end else for i in 1:CONST.sampleSize if [i] > 0 && [i] < CONST.C numChanged += examineExample(params, y, G, errorCache, i, CONST) end end end if examineAll examineAll = false elseif numChanged == 0 examineAll = true end end 11 / 14 12. Demo Julia, I'm asking seriously. Will you work late for me from today? Demo source is here https://github.com/clclcocoro/JuliaDeSVM.jl 12 / 14 13. Demo 13 / 14 14. Demo 14 / 14