sklearn.svm.libsvm.predict

sklearn.svm.libsvm.predict()

Predict target values of X given a model (low-level method)

Parameters:

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, poly and sigmoid kernels. Ignored by other kernels. 0.1 by default. coef0 : float Independent parameter in poly/sigmoid kernel.

Returns:

dec_values : array predicted values.