libsvm 2.X 時代の書き方
( 集合知プログラミングのサンプル )
from svm import * prob = svm_problem([1,-1],[[1,0,1],[-1,0,-1]]) param = svm_parameter(kernel_type = LINEAR, C = 1) <- 3.12 だとここでエラーになる Traceback (most recent call last): File "<stdin>", line 1, in <module> TypeError: __init__() got an unexpected keyword argument 'kernel_type' m = svm_model(prob, param) m.predict([1, 1, 1])
livsbm-3.12 での書き方
Python 2.7.3 (default, Oct 23 2012, 16:35:33) [GCC 4.1.2 20080704 (Red Hat 4.1.2-52)] on linux2 Type "help", "copyright", "credits" or "license" for more information. >>> from svmutil import * >>> prob = svm_problem([1,-1],[[1,0,1],[-1,0,-1]]) >>> m = svm_train(prob, '-t 0 -c 1') * optimization finished, #iter = 1 nu = 0.250000 obj = -0.250000, rho = 0.000000 nSV = 2, nBSV = 0 Total nSV = 2 >>> print svm_predict([1],[[1,1,1]],m)[0][0] Accuracy = 100% (1/1) (classification) 1.0 >>>