↓ 9 callersFunctionsvm_train svm_train(y, x [, options]) -> model | ACC | MSE svm_train(prob [, options]) -> model | ACC | MSE svm_train(prob, param) -> model | ACC| MSE Tra
Part6_Relation_Extraction/libsvm-3.21/python/svmutil.py:86
↓ 7 callersFunctionsvm_predict svm_predict(y, x, m [, options]) -> (p_labels, p_acc, p_vals) Predict data (y, x) with the SVM model m. options: -b probability_estimates: w
Part6_Relation_Extraction/libsvm-3.21/python/svmutil.py:173
↓ 4 callersMethodSolve(int l, QMatrix Q, double[] p_, byte[] y_,
double[] alpha_, double Cp, double Cn, double eps, SolutionInf
Part6_Relation_Extraction/libsvm-3.21/java/libsvm/svm.java:404
↓ 2 callersMethodSolve(int l, QMatrix Q, double[] p, byte[] y,
double[] alpha, double Cp, double Cn, double eps,
SolutionI
Part6_Relation_Extraction/libsvm-3.21/java/libsvm/svm.java:901