OpenMS  2.4.0
SVMWrapper Member List

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

BORDER_LENGTH enum valueSVMWrapper
border_length_SVMWrapperprivate
C enum valueSVMWrapper
calculateGaussTable(Size border_length, double sigma, std::vector< double > &gauss_table)SVMWrapperstatic
CMD enum valueProgressLogger
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)SVMWrapperstatic
createRandomPartitions(const SVMData &problem, Size number, std::vector< SVMData > &problems)SVMWrapperstatic
current_logger_ProgressLoggermutableprotected
DEGREE enum valueSVMWrapper
endProgress() constProgressLogger
GAMMA enum valueSVMWrapper
gauss_table_SVMWrapperprivate
gauss_tables_SVMWrapperprivate
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)SVMWrapperstatic
getLogType() constProgressLogger
getNumberOfEnclosedPoints_(double m1, double m2, const std::vector< std::pair< double, double > > &points)SVMWrapperprivate
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 valueProgressLogger
initParameters_()SVMWrapperprivate
KERNEL_TYPE enum valueSVMWrapper
kernel_type_SVMWrapperprivate
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)SVMWrapperstatic
kernelOligo(const svm_node *x, const svm_node *y, const std::vector< double > &gauss_table, double sigma_square=0, Size max_distance=50)SVMWrapperstatic
last_invoke_ProgressLoggermutableprotected
loadModel(std::string modelFilename)SVMWrapper
LogType enum nameProgressLogger
logTypeToFactoryName_(LogType type)ProgressLoggerprotectedstatic
mergePartitions(const std::vector< svm_problem *> &problems, Size except)SVMWrapperstatic
mergePartitions(const std::vector< SVMData > &problems, Size except, SVMData &merged_problem)SVMWrapperstatic
model_SVMWrapperprivate
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)SVMWrapperprivate
nextProgress() constProgressLogger
NONE enum valueProgressLogger
NU enum valueSVMWrapper
OLIGO enum valueSVMWrapper
OLIGO_COMBINED enum valueSVMWrapper
operator=(const ProgressLogger &other)ProgressLogger
P enum valueSVMWrapper
param_SVMWrapperprivate
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 *)SVMWrapperprivatestatic
PROBABILITY enum valueSVMWrapper
ProgressLogger()ProgressLogger
ProgressLogger(const ProgressLogger &other)ProgressLogger
recursion_depth_ProgressLoggerprotectedstatic
saveModel(std::string modelFilename) constSVMWrapper
scaleData(svm_problem *data, Int max_scale_value=-1)SVMWrapper
setLogType(LogType type) constProgressLogger
setParameter(SVM_parameter_type type, Int value)SVMWrapper
setParameter(SVM_parameter_type type, double value)SVMWrapper
setProgress(SignedSize value) constProgressLogger
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 valueSVMWrapper
sigma_SVMWrapperprivate
sigmas_SVMWrapperprivate
startProgress(SignedSize begin, SignedSize end, const String &label) constProgressLogger
SVM_kernel_type enum nameSVMWrapper
SVM_parameter_type enum nameSVMWrapper
SVM_TYPE enum valueSVMWrapper
SVMWrapper()SVMWrapper
train(struct svm_problem *problem)SVMWrapper
train(SVMData &problem)SVMWrapper
training_data_SVMWrapperprivate
training_problem_SVMWrapperprivate
training_set_SVMWrapperprivate
type_ProgressLoggermutableprotected
~ProgressLogger()ProgressLogger
~SVMWrapper()SVMWrappervirtual
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