sklearn.svm.libsvm.predict()

X: array-like, dtype=float, size=[n_samples, n_features] :

svm_type : {0, 1, 2, 3, 4}

Type of SVM: C SVC, nu SVC, one class, epsilon SVR, nu SVR

kernel : {?linear?, ?rbf?, ?poly?, ?sigmoid?, ?precomputed?}

Type of kernel.

degree : int

Degree of the polynomial kernel.

gamma : float

Gamma parameter in RBF kernel.

coef0 : float

Independent parameter in poly/sigmoid kernel.