added graphs

Author: bwaldrep

Diff for: 2dplot.jpg

@@ -0,0 +1,32 @@
+C Error #Support_vectors
+0.01 0.947748513169 662
+0.0137382379588 0.0522514868309 664
+0.0188739182214 0.0522514868309 664
+0.025929437974 0.0522514868309 666
+0.0356224789026 0.0522514868309 664
+0.0489390091848 0.0522514868309 664
+0.067233575365 0.0522514868309 434
+0.0923670857187 0.053525913339 423
+0.126896100317 0.482158028887 671
+0.17433288222 0.308836023789 331
+0.239502661999 0.0598980458794 419
+0.329034456231 0.0909090909091 465
+0.452035365636 0.831775700935 589
+0.621016941892 0.662701784197 372
+0.853167852417 0.7158028887 481
+1.17210229753 0.225573491929 611
+1.61026202756 0.494902293968 275
+2.21221629107 0.709005947324 450
+3.03919538231 0.328802039082 621
+4.17531893656 0.59940526763 426
+5.73615251045 0.633389974511 662
+7.88046281567 0.0781648258284 626
+10.8263673387 0.294392523364 294
+14.8735210729 0.203483432455 333
+20.4335971786 0.153355989805 492
+28.0721620394 0.938402718777 456
+38.5662042116 0.478759558199 413
+52.9831690628 0.672472387426 302
+72.7895384398 0.443925233645 274
+100.0 0.681393372982 358
+final err 0.235 final c 0.067233575365

Diff for: linerr.jpg

@@ -0,0 +1,22 @@
+#C  Sigma  Error #Support_vectors
+0.1 0.1 0.0522514868309 664
+0.1 1 0.947748513169 664
+0.1 5 0.0522514868309 666
+0.1 10 0.947748513169 664
+1 0.1 0.0522514868309 666
+1 1 0.0522514868309 664
+1 5 0.947748513169 662
+1 10 0.0522514868309 664
+5 0.1 0.0522514868309 419
+5 1 0.77994902294 371
+5 5 0.88572642311 585
+5 10 0.0522514868309 666
+10 0.1 0.947748513169 334
+10 1 0.763381478335 398
+10 5 0.527187765506 438
+10 10 0.85896346644 374
+100 0.1 0.0522514868309 419
+100 1 0.135938827528 322
+100 5 0.236618521665 485
+100 10 0.625318606627 291
+#final err 0.235 final c 0.1 final sigma 0.1

Diff for: linout.txt

@@ -19,7 +19,7 @@
 
 def make2dData(n_samples):
   # generate a 2d 2-class dataset
-  X,y = make_blobs(n_samples=n_samples, centers=2)
+  X,y = make_blobs(n_samples=n_samples, centers=[[-1,-1],[1,1]])
   y[y==0] = -1
   return X,y
 
@@ -86,12 +86,13 @@ def plot2d(s, X, y):
 k = svm.LinKernel()
 X,y = make2dData(200)
 cs = [0.1, 1, 5, 10, 100]
-sigmas = [0.1, 1, 5, 10]
+cs = np.logspace(-2,2,10)
+sigmas = [0.5, 1, 2, 5]
 for c in cs:
   for sigma in sigmas:
     k = svm.RBFKernel(sigma)
     print "c =", c, "sigma = ", sigma
     s = svm.SVM(c,k)
     s.train(X,y)
-    plot2d(s,X,y)
     print "error", s.test(X,y)
+    plot2d(s,X,y)