AbstractSvmTrainer(KernelType *kernel, double C, bool offset, bool unconstrained=false) | shark::AbstractSvmTrainer< InputType, LabelType, Model, Trainer > | inline |
AbstractSvmTrainer(KernelType *kernel, double negativeC, double positiveC, bool offset, bool unconstrained=false) | shark::AbstractSvmTrainer< InputType, LabelType, Model, Trainer > | inline |
accessCount() const | shark::QpConfig | inline |
C() const | shark::AbstractSvmTrainer< InputType, LabelType, Model, Trainer > | inline |
cacheSize() const | shark::AbstractSvmTrainer< InputType, LabelType, Model, Trainer > | inline |
isUnconstrained() const | shark::AbstractSvmTrainer< InputType, LabelType, Model, Trainer > | inline |
kernel() | shark::AbstractSvmTrainer< InputType, LabelType, Model, Trainer > | inline |
kernel() const | shark::AbstractSvmTrainer< InputType, LabelType, Model, Trainer > | inline |
KernelType typedef | shark::AbstractSvmTrainer< InputType, LabelType, Model, Trainer > | |
m_accessCount | shark::QpConfig | protected |
m_cacheSize | shark::AbstractSvmTrainer< InputType, LabelType, Model, Trainer > | protected |
m_kernel | shark::AbstractSvmTrainer< InputType, LabelType, Model, Trainer > | protected |
m_precomputedKernelMatrix | shark::QpConfig | protected |
m_regularizers | shark::AbstractSvmTrainer< InputType, LabelType, Model, Trainer > | protected |
m_s2do | shark::QpConfig | protected |
m_shrinking | shark::QpConfig | protected |
m_solutionproperties | shark::QpConfig | protected |
m_sparsify | shark::QpConfig | protected |
m_stoppingcondition | shark::QpConfig | protected |
m_trainOffset | shark::AbstractSvmTrainer< InputType, LabelType, Model, Trainer > | protected |
m_unconstrained | shark::AbstractSvmTrainer< InputType, LabelType, Model, Trainer > | protected |
m_verbosity | shark::QpConfig | protected |
numberOfParameters() const | shark::AbstractSvmTrainer< InputType, LabelType, Model, Trainer > | inlinevirtual |
parameterVector() const | shark::AbstractSvmTrainer< InputType, LabelType, Model, Trainer > | inlinevirtual |
ParameterVectorType typedef | shark::IParameterizable<> | |
precomputeKernel() | shark::QpConfig | inline |
precomputeKernel() const | shark::QpConfig | inline |
QpConfig(bool precomputedFlag=false, bool sparsifyFlag=true) | shark::QpConfig | inline |
regularizationParameters() const | shark::AbstractSvmTrainer< InputType, LabelType, Model, Trainer > | inline |
s2do() | shark::QpConfig | inline |
s2do() const | shark::QpConfig | inline |
setC(double C) | shark::AbstractSvmTrainer< InputType, LabelType, Model, Trainer > | inline |
setCacheSize(std::size_t size) | shark::AbstractSvmTrainer< InputType, LabelType, Model, Trainer > | inline |
setKernel(KernelType *kernel) | shark::AbstractSvmTrainer< InputType, LabelType, Model, Trainer > | inline |
setMaxIterations(unsigned long long i) | shark::QpConfig | inline |
setMaxSeconds(double s) | shark::QpConfig | inline |
setMinAccuracy(double a) | shark::QpConfig | inline |
setParameterVector(RealVector const &newParameters) | shark::AbstractSvmTrainer< InputType, LabelType, Model, Trainer > | inlinevirtual |
setRegularizationParameters(RealVector const ®ularizers) | shark::AbstractSvmTrainer< InputType, LabelType, Model, Trainer > | inline |
setTargetValue(double v) | shark::QpConfig | inline |
shrinking() | shark::QpConfig | inline |
shrinking() const | shark::QpConfig | inline |
solutionProperties() | shark::QpConfig | inline |
sparsify() | shark::QpConfig | inline |
sparsify() const | shark::QpConfig | inline |
stoppingCondition() | shark::QpConfig | inline |
stoppingCondition() const | shark::QpConfig | inline |
trainOffset() const | shark::AbstractSvmTrainer< InputType, LabelType, Model, Trainer > | inline |
verbosity() | shark::QpConfig | inline |
verbosity() const | shark::QpConfig | inline |
~IParameterizable() | shark::IParameterizable<> | inlinevirtual |