labblouin.svm module

class labblouin.svm.cross_validate(model, test=[])

perform()

Perform the cross-validation.

class labblouin.svm.svm_model(data=[], labels=[], kernel=2, c=10)

load(fin)

optimize(low=1, up=50, steps=5, by='proportions')

Optimize c-value on the basis of by (default:proportions of correct classifications).

predict(data)

save(fin)