, including all inherited members.
| atof(String s) | libsvm.svm | [inline, private, static] |
| atoi(String s) | libsvm.svm | [inline, private, static] |
| info(String s) | libsvm.svm | [inline, package, static] |
| kernel_type_table | libsvm.svm | [package, static] |
| LIBSVM_VERSION | libsvm.svm | [static] |
| multiclass_probability(int k, double[][] r, double[] p) | libsvm.svm | [inline, private, static] |
| rand | libsvm.svm | [static] |
| sigmoid_predict(double decision_value, double A, double B) | libsvm.svm | [inline, private, static] |
| sigmoid_train(int l, double[] dec_values, double[] labels, double[] probAB) | libsvm.svm | [inline, private, static] |
| solve_c_svc(svm_problem prob, svm_parameter param, double[] alpha, Solver.SolutionInfo si, double Cp, double Cn) | libsvm.svm | [inline, private, static] |
| solve_epsilon_svr(svm_problem prob, svm_parameter param, double[] alpha, Solver.SolutionInfo si) | libsvm.svm | [inline, private, static] |
| solve_nu_svc(svm_problem prob, svm_parameter param, double[] alpha, Solver.SolutionInfo si) | libsvm.svm | [inline, private, static] |
| solve_nu_svr(svm_problem prob, svm_parameter param, double[] alpha, Solver.SolutionInfo si) | libsvm.svm | [inline, private, static] |
| solve_one_class(svm_problem prob, svm_parameter param, double[] alpha, Solver.SolutionInfo si) | libsvm.svm | [inline, private, static] |
| svm_binary_svc_probability(svm_problem prob, svm_parameter param, double Cp, double Cn, double[] probAB) | libsvm.svm | [inline, private, static] |
| svm_check_parameter(svm_problem prob, svm_parameter param) | libsvm.svm | [inline, static] |
| svm_check_probability_model(svm_model model) | libsvm.svm | [inline, static] |
| svm_cross_validation(svm_problem prob, svm_parameter param, int nr_fold, double[] target) | libsvm.svm | [inline, static] |
| svm_get_labels(svm_model model, int[] label) | libsvm.svm | [inline, static] |
| svm_get_nr_class(svm_model model) | libsvm.svm | [inline, static] |
| svm_get_svm_type(svm_model model) | libsvm.svm | [inline, static] |
| svm_get_svr_probability(svm_model model) | libsvm.svm | [inline, static] |
| svm_group_classes(svm_problem prob, int[] nr_class_ret, int[][] label_ret, int[][] start_ret, int[][] count_ret, int[] perm) | libsvm.svm | [inline, private, static] |
| svm_load_model(String model_file_name) | libsvm.svm | [inline, static] |
| svm_load_model(BufferedReader fp) | libsvm.svm | [inline, static] |
| svm_predict(svm_model model, svm_node[] x) | libsvm.svm | [inline, static] |
| svm_predict_probability(svm_model model, svm_node[] x, double[] prob_estimates) | libsvm.svm | [inline, static] |
| svm_predict_values(svm_model model, svm_node[] x, double[] dec_values) | libsvm.svm | [inline, static] |
| svm_print_stdout | libsvm.svm | [private, static] |
| svm_print_string | libsvm.svm | [private, static] |
| svm_save_model(String model_file_name, svm_model model) | libsvm.svm | [inline, static] |
| svm_set_print_string_function(svm_print_interface print_func) | libsvm.svm | [inline, static] |
| svm_svr_probability(svm_problem prob, svm_parameter param) | libsvm.svm | [inline, private, static] |
| svm_train(svm_problem prob, svm_parameter param) | libsvm.svm | [inline, static] |
| svm_train_one(svm_problem prob, svm_parameter param, double Cp, double Cn) | libsvm.svm | [inline, package, static] |
| svm_type_table | libsvm.svm | [package, static] |