| OpenMS 2.5.0

SVMWrapper Member List

This is the complete list of members for SVMWrapper, including all inherited members.

BORDER_LENGTH enum value | SVMWrapper |
border_length_ | SVMWrapper | private
C enum value | SVMWrapper |
calculateGaussTable(Size border_length, double sigma, std::vector< double > &gauss_table) | SVMWrapper | static
CMD enum value | ProgressLogger |
computeKernelMatrix(svm_problem *problem1, svm_problem *problem2) | SVMWrapper |
computeKernelMatrix(const SVMData &problem1, const SVMData &problem2) | SVMWrapper |
createRandomPartitions(svm_problem *problem, Size number, std::vector< svm_problem *> &partitions) | SVMWrapper | static
createRandomPartitions(const SVMData &problem, Size number, std::vector< SVMData > &problems) | SVMWrapper | static
current_logger_ | ProgressLogger | mutable protected
DEGREE enum value | SVMWrapper |
endProgress() const | ProgressLogger |
GAMMA enum value | SVMWrapper |
gauss_table_ | SVMWrapper | private
gauss_tables_ | SVMWrapper | private
getDecisionValues(svm_problem *data, std::vector< double > &decision_values) | SVMWrapper |
getDoubleParameter(SVM_parameter_type type) | SVMWrapper |
getIntParameter(SVM_parameter_type type) | SVMWrapper |
getLabels(svm_problem *problem, std::vector< double > &labels) | SVMWrapper | static
getLogType() const | ProgressLogger |
getNumberOfEnclosedPoints_(double m1, double m2, const std::vector< std::pair< double, double > > &points) | SVMWrapper | private
getPValue(double sigma1, double sigma2, std::pair< double, double > point) | SVMWrapper |
getSignificanceBorders(svm_problem *data, std::pair< double, double > &borders, double confidence=0.95, Size number_of_runs=5, Size number_of_partitions=5, double step_size=0.01, Size max_iterations=1000000) | SVMWrapper |
getSignificanceBorders(const SVMData &data, std::pair< double, double > &sigmas, double confidence=0.95, Size number_of_runs=5, Size number_of_partitions=5, double step_size=0.01, Size max_iterations=1000000) | SVMWrapper |
getSVCProbabilities(struct svm_problem *problem, std::vector< double > &probabilities, std::vector< double > &prediction_labels) | SVMWrapper |
getSVRProbability() | SVMWrapper |
GUI enum value | ProgressLogger |
initParameters_() | SVMWrapper | private
KERNEL_TYPE enum value | SVMWrapper |
kernel_type_ | SVMWrapper | private
kernelOligo(const std::vector< std::pair< int, double > > &x, const std::vector< std::pair< int, double > > &y, const std::vector< double > &gauss_table, int max_distance=-1) | SVMWrapper | static
kernelOligo(const svm_node *x, const svm_node *y, const std::vector< double > &gauss_table, double sigma_square=0, Size max_distance=50) | SVMWrapper | static
last_invoke_ | ProgressLogger | mutable protected
loadModel(std::string modelFilename) | SVMWrapper |
LogType enum name | ProgressLogger |
logTypeToFactoryName_(LogType type) | ProgressLogger | protected static
mergePartitions(const std::vector< svm_problem *> &problems, Size except) | SVMWrapper | static
mergePartitions(const std::vector< SVMData > &problems, Size except, SVMData &merged_problem) | SVMWrapper | static
model_ | SVMWrapper | private
nextGrid_(const std::vector< double > &start_values, const std::vector< double > &step_sizes, const std::vector< double > &end_values, const bool additive_step_sizes, std::vector< double > &actual_values) | SVMWrapper | private
nextProgress() const | ProgressLogger |
NONE enum value | ProgressLogger |
NU enum value | SVMWrapper |
OLIGO enum value | SVMWrapper |
OLIGO_COMBINED enum value | SVMWrapper |
operator=(const ProgressLogger &other) | ProgressLogger |
P enum value | SVMWrapper |
param_ | SVMWrapper | private
performCrossValidation(svm_problem *problem_ul, const SVMData &problem_l, const bool is_labeled, const std::map< SVM_parameter_type, double > &start_values_map, const std::map< SVM_parameter_type, double > &step_sizes_map, const std::map< SVM_parameter_type, double > &end_values_map, Size number_of_partitions, Size number_of_runs, std::map< SVM_parameter_type, double > &best_parameters, bool additive_step_sizes=true, bool output=false, String performances_file_name="performances.txt", bool mcc_as_performance_measure=false) | SVMWrapper |
predict(struct svm_problem *problem, std::vector< double > &predicted_labels) | SVMWrapper |
predict(const SVMData &problem, std::vector< double > &results) | SVMWrapper |
predict(const std::vector< svm_node *> &vectors, std::vector< double > &predicted_rts) | SVMWrapper |
printToVoid_(const char *) | SVMWrapper | private static
PROBABILITY enum value | SVMWrapper |
ProgressLogger() | ProgressLogger |
ProgressLogger(const ProgressLogger &other) | ProgressLogger |
recursion_depth_ | ProgressLogger | protected static
saveModel(std::string modelFilename) const | SVMWrapper |
scaleData(svm_problem *data, Int max_scale_value=-1) | SVMWrapper |
setLogType(LogType type) const | ProgressLogger |
setParameter(SVM_parameter_type type, Int value) | SVMWrapper |
setParameter(SVM_parameter_type type, double value) | SVMWrapper |
setProgress(SignedSize value) const | ProgressLogger |
setTrainingSample(svm_problem *training_sample) | SVMWrapper |
setTrainingSample(SVMData &training_sample) | SVMWrapper |
setWeights(const std::vector< Int > &weight_labels, const std::vector< double > &weights) | SVMWrapper |
SIGMA enum value | SVMWrapper |
sigma_ | SVMWrapper | private
sigmas_ | SVMWrapper | private
startProgress(SignedSize begin, SignedSize end, const String &label) const | ProgressLogger |
SVM_kernel_type enum name | SVMWrapper |
SVM_parameter_type enum name | SVMWrapper |
SVM_TYPE enum value | SVMWrapper |
SVMWrapper() | SVMWrapper |
train(struct svm_problem *problem) | SVMWrapper |
train(SVMData &problem) | SVMWrapper |
training_data_ | SVMWrapper | private
training_problem_ | SVMWrapper | private
training_set_ | SVMWrapper | private
type_ | ProgressLogger | mutable protected
~ProgressLogger() | ProgressLogger |
~SVMWrapper() | SVMWrapper | virtual