SYMBOL INDEX (329 symbols across 19 files)

FILE: binaries/linux/tools/checkdata.py
  function err (line 18) | def err(line_no, msg):
  function my_float (line 22) | def my_float(x):
  function main (line 28) | def main():

FILE: binaries/linux/tools/grid.py
  class GridOption (line 17) | class GridOption:
    method __init__ (line 18) | def __init__(self, dataset_pathname, options):
    method parse_options (line 40) | def parse_options(self, options):
  function redraw (line 105) | def redraw(db,best_param,gnuplot,options,tofile=False):
  function calculate_jobs (line 159) | def calculate_jobs(options):
  class WorkerStopToken (line 241) | class WorkerStopToken:  # used to notify the worker to stop or if a work...
  class Worker (line 244) | class Worker(Thread):
    method __init__ (line 245) | def __init__(self,name,job_queue,result_queue,options):
    method run (line 252) | def run(self):
    method get_cmd (line 278) | def get_cmd(self,c,g):
  class LocalWorker (line 289) | class LocalWorker(Worker):
    method run_one (line 290) | def run_one(self,c,g):
  class SSHWorker (line 297) | class SSHWorker(Worker):
    method __init__ (line 298) | def __init__(self,name,job_queue,result_queue,host,options):
    method run_one (line 302) | def run_one(self,c,g):
  class TelnetWorker (line 310) | class TelnetWorker(Worker):
    method __init__ (line 311) | def __init__(self,name,job_queue,result_queue,host,username,password,o...
    method run (line 316) | def run(self):
    method run_one (line 331) | def run_one(self,c,g):
  function find_parameters (line 339) | def find_parameters(dataset_pathname, options=''):
  function exit_with_help (line 465) | def exit_with_help():

FILE: binaries/linux/tools/subset.py
  function exit_with_help (line 9) | def exit_with_help(argv):
  function process_options (line 25) | def process_options(argv):
  function random_selection (line 56) | def random_selection(dataset, subset_size):
  function stratified_selection (line 60) | def stratified_selection(dataset, subset_size):
  function main (line 89) | def main(argv=sys.argv):

FILE: binaries/windows/x64/tools/checkdata.py
  function err (line 18) | def err(line_no, msg):
  function my_float (line 22) | def my_float(x):
  function main (line 28) | def main():

FILE: binaries/windows/x64/tools/grid.py
  class GridOption (line 17) | class GridOption:
    method __init__ (line 18) | def __init__(self, dataset_pathname, options):
    method parse_options (line 40) | def parse_options(self, options):
  function redraw (line 105) | def redraw(db,best_param,gnuplot,options,tofile=False):
  function calculate_jobs (line 159) | def calculate_jobs(options):
  class WorkerStopToken (line 241) | class WorkerStopToken:  # used to notify the worker to stop or if a work...
  class Worker (line 244) | class Worker(Thread):
    method __init__ (line 245) | def __init__(self,name,job_queue,result_queue,options):
    method run (line 252) | def run(self):
    method get_cmd (line 278) | def get_cmd(self,c,g):
  class LocalWorker (line 289) | class LocalWorker(Worker):
    method run_one (line 290) | def run_one(self,c,g):
  class SSHWorker (line 297) | class SSHWorker(Worker):
    method __init__ (line 298) | def __init__(self,name,job_queue,result_queue,host,options):
    method run_one (line 302) | def run_one(self,c,g):
  class TelnetWorker (line 310) | class TelnetWorker(Worker):
    method __init__ (line 311) | def __init__(self,name,job_queue,result_queue,host,username,password,o...
    method run (line 316) | def run(self):
    method run_one (line 331) | def run_one(self,c,g):
  function find_parameters (line 339) | def find_parameters(dataset_pathname, options=''):
  function exit_with_help (line 465) | def exit_with_help():

FILE: binaries/windows/x64/tools/subset.py
  function exit_with_help (line 9) | def exit_with_help(argv):
  function process_options (line 25) | def process_options(argv):
  function random_selection (line 56) | def random_selection(dataset, subset_size):
  function stratified_selection (line 60) | def stratified_selection(dataset, subset_size):
  function main (line 89) | def main(argv=sys.argv):

FILE: binaries/windows/x86/tools/checkdata.py
  function err (line 18) | def err(line_no, msg):
  function my_float (line 22) | def my_float(x):
  function main (line 28) | def main():

FILE: binaries/windows/x86/tools/grid.py
  class GridOption (line 17) | class GridOption:
    method __init__ (line 18) | def __init__(self, dataset_pathname, options):
    method parse_options (line 40) | def parse_options(self, options):
  function redraw (line 105) | def redraw(db,best_param,gnuplot,options,tofile=False):
  function calculate_jobs (line 159) | def calculate_jobs(options):
  class WorkerStopToken (line 241) | class WorkerStopToken:  # used to notify the worker to stop or if a work...
  class Worker (line 244) | class Worker(Thread):
    method __init__ (line 245) | def __init__(self,name,job_queue,result_queue,options):
    method run (line 252) | def run(self):
    method get_cmd (line 278) | def get_cmd(self,c,g):
  class LocalWorker (line 289) | class LocalWorker(Worker):
    method run_one (line 290) | def run_one(self,c,g):
  class SSHWorker (line 297) | class SSHWorker(Worker):
    method __init__ (line 298) | def __init__(self,name,job_queue,result_queue,host,options):
    method run_one (line 302) | def run_one(self,c,g):
  class TelnetWorker (line 310) | class TelnetWorker(Worker):
    method __init__ (line 311) | def __init__(self,name,job_queue,result_queue,host,username,password,o...
    method run (line 316) | def run(self):
    method run_one (line 331) | def run_one(self,c,g):
  function find_parameters (line 339) | def find_parameters(dataset_pathname, options=''):
  function exit_with_help (line 465) | def exit_with_help():

FILE: binaries/windows/x86/tools/subset.py
  function exit_with_help (line 9) | def exit_with_help(argv):
  function process_options (line 25) | def process_options(argv):
  function random_selection (line 56) | def random_selection(dataset, subset_size):
  function stratified_selection (line 60) | def stratified_selection(dataset, subset_size):
  function main (line 89) | def main(argv=sys.argv):

FILE: src/linux/cross_validation_with_matrix_precomputation.c
  function setup_pkm (line 1) | void setup_pkm(struct svm_problem *p_km)
  function free_pkm (line 19) | void free_pkm(struct svm_problem *p_km)
  function do_crossvalidation (line 33) | double do_crossvalidation(struct svm_problem * p_km)
  function run_pair (line 83) | void run_pair(struct svm_problem * p_km)
  function do_cross_validation_with_KM_precalculated (line 100) | void do_cross_validation_with_KM_precalculated(   )

FILE: src/linux/kernel_matrix_calculation.c
  function ckm (line 8) | void ckm( struct svm_problem *prob, struct svm_problem *pecm, float *gam...
  function cal_km (line 129) | void cal_km( struct svm_problem * p_km)

FILE: src/linux/svm-train.c
  function print_null (line 9) | void print_null(const char *s) {}
  function exit_with_help (line 11) | void exit_with_help()
  function exit_input_error (line 45) | void exit_input_error(int line_num)
  type svm_parameter (line 55) | struct svm_parameter
  type svm_problem (line 56) | struct svm_problem
  type svm_model (line 57) | struct svm_model
  type svm_node (line 58) | struct svm_node
  function main (line 86) | int main(int argc, char **argv)
  function do_cross_validation (line 133) | void do_cross_validation()
  function parse_command_line (line 172) | void parse_command_line(int argc, char **argv, char *input_file_name, ch...
  function read_problem (line 289) | void read_problem(const char *filename)

FILE: src/linux/svm.cpp
  function T (line 16) | static inline T min(T x,T y) { return (x<y)?x:y; }
  function T (line 19) | static inline T max(T x,T y) { return (x>y)?x:y; }
  function swap (line 21) | static inline void swap(T& x, T& y) { T t=x; x=y; y=t; }
  function clone (line 22) | static inline void clone(T*& dst, S* src, int n)
  function powi (line 27) | static inline double powi(double base, int times)
  function print_string_stdout (line 42) | static void print_string_stdout(const char *s)
  function info (line 49) | static void info(const char *fmt,...)
  function info (line 59) | static void info(const char *fmt,...) {}
  class Cache (line 68) | class Cache
    type head_t (line 82) | struct head_t
  class QMatrix (line 195) | class QMatrix {
  class Kernel (line 203) | class Kernel: public QMatrix {
    method swap_index (line 216) | virtual void swap_index(int i, int j) const	// no so const...
    method kernel_linear (line 244) | double kernel_linear(int i, int j) const
    method kernel_poly (line 248) | double kernel_poly(int i, int j) const
    method kernel_rbf (line 252) | double kernel_rbf(int i, int j) const
    method kernel_sigmoid (line 256) | double kernel_sigmoid(int i, int j) const
    method kernel_precomputed (line 260) | double kernel_precomputed(int i, int j) const
  class Solver (line 452) | class Solver {
    method Solver (line 454) | Solver() {}
    type SolutionInfo (line 457) | struct SolutionInfo {
    method get_C (line 485) | double get_C(int i)
    method update_alpha_status (line 489) | void update_alpha_status(int i)
    method is_upper_bound (line 497) | bool is_upper_bound(int i) { return alpha_status[i] == UPPER_BOUND; }
    method is_lower_bound (line 498) | bool is_lower_bound(int i) { return alpha_status[i] == LOWER_BOUND; }
    method is_free (line 499) | bool is_free(int i) { return alpha_status[i] == FREE; }
  class Solver_NU (line 1068) | class Solver_NU: public Solver
    method Solver_NU (line 1071) | Solver_NU() {}
    method Solve (line 1072) | void Solve(int l, const QMatrix& Q, const double *p, const schar *y,
  class SVC_Q (line 1325) | class SVC_Q: public Kernel
    method SVC_Q (line 1328) | SVC_Q(const svm_problem& prob, const svm_parameter& param, const schar...
    method Qfloat (line 1338) | Qfloat *get_Q(int i, int len) const
    method swap_index (line 1355) | void swap_index(int i, int j) const
  class ONE_CLASS_Q (line 1375) | class ONE_CLASS_Q: public Kernel
    method ONE_CLASS_Q (line 1378) | ONE_CLASS_Q(const svm_problem& prob, const svm_parameter& param)
    method Qfloat (line 1387) | Qfloat *get_Q(int i, int len) const
    method swap_index (line 1404) | void swap_index(int i, int j) const
  class SVR_Q (line 1421) | class SVR_Q: public Kernel
    method SVR_Q (line 1424) | SVR_Q(const svm_problem& prob, const svm_parameter& param)
    method swap_index (line 1446) | void swap_index(int i, int j) const
    method Qfloat (line 1453) | Qfloat *get_Q(int i, int len) const
  function solve_c_svc (line 1499) | static void solve_c_svc(
  function solve_nu_svc (line 1534) | static void solve_nu_svc(
  function solve_one_class (line 1589) | static void solve_one_class(
  function solve_epsilon_svr (line 1621) | static void solve_epsilon_svr(
  function solve_nu_svr (line 1659) | static void solve_nu_svr(
  type decision_function (line 1700) | struct decision_function
  function decision_function (line 1706) | static decision_function svm_train_one(
  function sigmoid_train (line 1764) | static void sigmoid_train(
  function sigmoid_predict (line 1877) | static double sigmoid_predict(double decision_value, double A, double B)
  function multiclass_probability (line 1888) | static void multiclass_probability(int k, double **r, double *p)
  function svm_binary_svc_probability (line 1952) | static void svm_binary_svc_probability(
  function svm_svr_probability (line 2047) | static double svm_svr_probability(
  function svm_group_classes (line 2081) | static void svm_group_classes(const svm_problem *prob, int *nr_class_ret...
  function svm_model (line 2159) | svm_model *svm_train(const svm_problem *prob, const svm_parameter *param)
  function svm_cross_validation (line 2419) | void svm_cross_validation(const svm_problem *prob, const svm_parameter *...
  function svm_get_svm_type (line 2552) | int svm_get_svm_type(const svm_model *model)
  function svm_get_nr_class (line 2557) | int svm_get_nr_class(const svm_model *model)
  function svm_get_labels (line 2562) | void svm_get_labels(const svm_model *model, int* label)
  function svm_get_sv_indices (line 2569) | void svm_get_sv_indices(const svm_model *model, int* indices)
  function svm_get_nr_sv (line 2576) | int svm_get_nr_sv(const svm_model *model)
  function svm_get_svr_probability (line 2581) | double svm_get_svr_probability(const svm_model *model)
  function svm_predict_values (line 2593) | double svm_predict_values(const svm_model *model, const svm_node *x, dou...
  function svm_predict (line 2679) | double svm_predict(const svm_model *model, const svm_node *x)
  function svm_predict_probability (line 2694) | double svm_predict_probability(
  function svm_save_model (line 2743) | int svm_save_model(const char *model_file_name, const svm_model *model)
  function svm_model (line 2873) | svm_model *svm_load_model(const char *model_file_name)
  function svm_free_model_content (line 3143) | void svm_free_model_content(svm_model* model_ptr)
  function svm_free_and_destroy_model (line 3182) | void svm_free_and_destroy_model(svm_model** model_ptr_ptr)
  function svm_destroy_param (line 3192) | void svm_destroy_param(svm_parameter* param)
  function svm_check_probability_model (line 3319) | int svm_check_probability_model(const svm_model *model)
  function svm_set_print_string_function (line 3327) | void svm_set_print_string_function(void (*print_func)(const char *))

FILE: src/linux/svm.h
  type svm_node (line 13) | struct svm_node
  type svm_problem (line 19) | struct svm_problem
  type svm_node (line 27) | struct svm_node
  type svm_problem (line 33) | struct svm_problem
  type svm_parameter (line 44) | struct svm_parameter
  type svm_model (line 68) | struct svm_model
  type svm_model (line 94) | struct svm_model
  type svm_problem (line 94) | struct svm_problem
  type svm_parameter (line 94) | struct svm_parameter
  type svm_problem (line 95) | struct svm_problem
  type svm_parameter (line 95) | struct svm_parameter
  type svm_model (line 97) | struct svm_model
  type svm_model (line 98) | struct svm_model
  type svm_model (line 100) | struct svm_model
  type svm_model (line 101) | struct svm_model
  type svm_model (line 102) | struct svm_model
  type svm_model (line 103) | struct svm_model
  type svm_model (line 104) | struct svm_model
  type svm_model (line 105) | struct svm_model
  type svm_model (line 107) | struct svm_model
  type svm_node (line 107) | struct svm_node
  type svm_model (line 108) | struct svm_model
  type svm_node (line 108) | struct svm_node
  type svm_model (line 109) | struct svm_model
  type svm_node (line 109) | struct svm_node
  type svm_model (line 111) | struct svm_model
  type svm_model (line 112) | struct svm_model
  type svm_parameter (line 113) | struct svm_parameter
  type svm_problem (line 115) | struct svm_problem
  type svm_parameter (line 115) | struct svm_parameter
  type svm_model (line 116) | struct svm_model

FILE: src/windows/libsvm_train_dense_gpu/cross_validation_with_matrix_precomputation.c
  function setup_pkm (line 1) | void setup_pkm(struct svm_problem *p_km)
  function free_pkm (line 19) | void free_pkm(struct svm_problem *p_km)
  function do_crossvalidation (line 33) | double do_crossvalidation(struct svm_problem * p_km)
  function run_pair (line 83) | void run_pair(struct svm_problem * p_km)
  function do_cross_validation_with_KM_precalculated (line 100) | void do_cross_validation_with_KM_precalculated(   )

FILE: src/windows/libsvm_train_dense_gpu/kernel_matrix_calculation.c
  function ckm (line 8) | void ckm( struct svm_problem *prob, struct svm_problem *pecm, float *gam...
  function cal_km (line 129) | void cal_km( struct svm_problem * p_km)

FILE: src/windows/libsvm_train_dense_gpu/svm-train.c
  function print_null (line 9) | void print_null(const char *s) {}
  function exit_with_help (line 11) | void exit_with_help()
  function exit_input_error (line 45) | void exit_input_error(int line_num)
  type svm_parameter (line 55) | struct svm_parameter
  type svm_problem (line 56) | struct svm_problem
  type svm_model (line 57) | struct svm_model
  type svm_node (line 58) | struct svm_node
  function main (line 86) | int main(int argc, char **argv)
  function do_cross_validation (line 133) | void do_cross_validation()
  function parse_command_line (line 172) | void parse_command_line(int argc, char **argv, char *input_file_name, ch...
  function read_problem (line 289) | void read_problem(const char *filename)

FILE: src/windows/libsvm_train_dense_gpu/svm.cpp
  function T (line 16) | static inline T min(T x,T y) { return (x<y)?x:y; }
  function T (line 19) | static inline T max(T x,T y) { return (x>y)?x:y; }
  function swap (line 21) | static inline void swap(T& x, T& y) { T t=x; x=y; y=t; }
  function clone (line 22) | static inline void clone(T*& dst, S* src, int n)
  function powi (line 27) | static inline double powi(double base, int times)
  function print_string_stdout (line 42) | static void print_string_stdout(const char *s)
  function info (line 49) | static void info(const char *fmt,...)
  function info (line 59) | static void info(const char *fmt,...) {}
  class Cache (line 68) | class Cache
    type head_t (line 82) | struct head_t
  class QMatrix (line 195) | class QMatrix {
  class Kernel (line 203) | class Kernel: public QMatrix {
    method swap_index (line 216) | virtual void swap_index(int i, int j) const	// no so const...
    method kernel_linear (line 244) | double kernel_linear(int i, int j) const
    method kernel_poly (line 248) | double kernel_poly(int i, int j) const
    method kernel_rbf (line 252) | double kernel_rbf(int i, int j) const
    method kernel_sigmoid (line 256) | double kernel_sigmoid(int i, int j) const
    method kernel_precomputed (line 260) | double kernel_precomputed(int i, int j) const
  class Solver (line 452) | class Solver {
    method Solver (line 454) | Solver() {}
    type SolutionInfo (line 457) | struct SolutionInfo {
    method get_C (line 485) | double get_C(int i)
    method update_alpha_status (line 489) | void update_alpha_status(int i)
    method is_upper_bound (line 497) | bool is_upper_bound(int i) { return alpha_status[i] == UPPER_BOUND; }
    method is_lower_bound (line 498) | bool is_lower_bound(int i) { return alpha_status[i] == LOWER_BOUND; }
    method is_free (line 499) | bool is_free(int i) { return alpha_status[i] == FREE; }
  class Solver_NU (line 1068) | class Solver_NU: public Solver
    method Solver_NU (line 1071) | Solver_NU() {}
    method Solve (line 1072) | void Solve(int l, const QMatrix& Q, const double *p, const schar *y,
  class SVC_Q (line 1325) | class SVC_Q: public Kernel
    method SVC_Q (line 1328) | SVC_Q(const svm_problem& prob, const svm_parameter& param, const schar...
    method Qfloat (line 1338) | Qfloat *get_Q(int i, int len) const
    method swap_index (line 1355) | void swap_index(int i, int j) const
  class ONE_CLASS_Q (line 1375) | class ONE_CLASS_Q: public Kernel
    method ONE_CLASS_Q (line 1378) | ONE_CLASS_Q(const svm_problem& prob, const svm_parameter& param)
    method Qfloat (line 1387) | Qfloat *get_Q(int i, int len) const
    method swap_index (line 1404) | void swap_index(int i, int j) const
  class SVR_Q (line 1421) | class SVR_Q: public Kernel
    method SVR_Q (line 1424) | SVR_Q(const svm_problem& prob, const svm_parameter& param)
    method swap_index (line 1446) | void swap_index(int i, int j) const
    method Qfloat (line 1453) | Qfloat *get_Q(int i, int len) const
  function solve_c_svc (line 1499) | static void solve_c_svc(
  function solve_nu_svc (line 1534) | static void solve_nu_svc(
  function solve_one_class (line 1589) | static void solve_one_class(
  function solve_epsilon_svr (line 1621) | static void solve_epsilon_svr(
  function solve_nu_svr (line 1659) | static void solve_nu_svr(
  type decision_function (line 1700) | struct decision_function
  function decision_function (line 1706) | static decision_function svm_train_one(
  function sigmoid_train (line 1764) | static void sigmoid_train(
  function sigmoid_predict (line 1877) | static double sigmoid_predict(double decision_value, double A, double B)
  function multiclass_probability (line 1888) | static void multiclass_probability(int k, double **r, double *p)
  function svm_binary_svc_probability (line 1952) | static void svm_binary_svc_probability(
  function svm_svr_probability (line 2047) | static double svm_svr_probability(
  function svm_group_classes (line 2081) | static void svm_group_classes(const svm_problem *prob, int *nr_class_ret...
  function svm_model (line 2159) | svm_model *svm_train(const svm_problem *prob, const svm_parameter *param)
  function svm_cross_validation (line 2419) | void svm_cross_validation(const svm_problem *prob, const svm_parameter *...
  function svm_get_svm_type (line 2552) | int svm_get_svm_type(const svm_model *model)
  function svm_get_nr_class (line 2557) | int svm_get_nr_class(const svm_model *model)
  function svm_get_labels (line 2562) | void svm_get_labels(const svm_model *model, int* label)
  function svm_get_sv_indices (line 2569) | void svm_get_sv_indices(const svm_model *model, int* indices)
  function svm_get_nr_sv (line 2576) | int svm_get_nr_sv(const svm_model *model)
  function svm_get_svr_probability (line 2581) | double svm_get_svr_probability(const svm_model *model)
  function svm_predict_values (line 2593) | double svm_predict_values(const svm_model *model, const svm_node *x, dou...
  function svm_predict (line 2679) | double svm_predict(const svm_model *model, const svm_node *x)
  function svm_predict_probability (line 2694) | double svm_predict_probability(
  function svm_save_model (line 2743) | int svm_save_model(const char *model_file_name, const svm_model *model)
  function svm_model (line 2873) | svm_model *svm_load_model(const char *model_file_name)
  function svm_free_model_content (line 3143) | void svm_free_model_content(svm_model* model_ptr)
  function svm_free_and_destroy_model (line 3182) | void svm_free_and_destroy_model(svm_model** model_ptr_ptr)
  function svm_destroy_param (line 3192) | void svm_destroy_param(svm_parameter* param)
  function svm_check_probability_model (line 3319) | int svm_check_probability_model(const svm_model *model)
  function svm_set_print_string_function (line 3327) | void svm_set_print_string_function(void (*print_func)(const char *))

FILE: src/windows/libsvm_train_dense_gpu/svm.h
  type svm_node (line 13) | struct svm_node
  type svm_problem (line 19) | struct svm_problem
  type svm_node (line 27) | struct svm_node
  type svm_problem (line 33) | struct svm_problem
  type svm_parameter (line 44) | struct svm_parameter
  type svm_model (line 68) | struct svm_model
  type svm_model (line 94) | struct svm_model
  type svm_problem (line 94) | struct svm_problem
  type svm_parameter (line 94) | struct svm_parameter
  type svm_problem (line 95) | struct svm_problem
  type svm_parameter (line 95) | struct svm_parameter
  type svm_model (line 97) | struct svm_model
  type svm_model (line 98) | struct svm_model
  type svm_model (line 100) | struct svm_model
  type svm_model (line 101) | struct svm_model
  type svm_model (line 102) | struct svm_model
  type svm_model (line 103) | struct svm_model
  type svm_model (line 104) | struct svm_model
  type svm_model (line 105) | struct svm_model
  type svm_model (line 107) | struct svm_model
  type svm_node (line 107) | struct svm_node
  type svm_model (line 108) | struct svm_model
  type svm_node (line 108) | struct svm_node
  type svm_model (line 109) | struct svm_model
  type svm_node (line 109) | struct svm_node
  type svm_model (line 111) | struct svm_model
  type svm_model (line 112) | struct svm_model
  type svm_parameter (line 113) | struct svm_parameter
  type svm_problem (line 115) | struct svm_problem
  type svm_parameter (line 115) | struct svm_parameter
  type svm_model (line 116) | struct svm_model