Index

B

bob.learn.libsvm (module) bob::learn::libsvm::File (C++ class) bob::learn::libsvm::File::eof (C++ function) bob::learn::libsvm::File::fail (C++ function) bob::learn::libsvm::File::File (C++ function) bob::learn::libsvm::File::filename (C++ function) bob::learn::libsvm::File::good (C++ function) bob::learn::libsvm::File::read (C++ function) bob::learn::libsvm::File::read_ (C++ function) bob::learn::libsvm::File::reset (C++ function) bob::learn::libsvm::File::samples (C++ function) bob::learn::libsvm::File::shape (C++ function) bob::learn::libsvm::File::~File (C++ function) bob::learn::libsvm::kernel_t (C++ type) bob::learn::libsvm::Machine (C++ class) bob::learn::libsvm::Machine::classLabel (C++ function) bob::learn::libsvm::Machine::coefficient0 (C++ function) bob::learn::libsvm::Machine::gamma (C++ function) bob::learn::libsvm::Machine::getInputDivision (C++ function) bob::learn::libsvm::Machine::getInputSubtraction (C++ function) bob::learn::libsvm::Machine::inputSize (C++ function) bob::learn::libsvm::Machine::kernelType (C++ function) bob::learn::libsvm::Machine::Machine (C++ function), [1], [2] bob::learn::libsvm::Machine::machineType (C++ function) bob::learn::libsvm::Machine::numberOfClasses (C++ function) bob::learn::libsvm::Machine::outputSize (C++ function) bob::learn::libsvm::Machine::polynomialDegree (C++ function) bob::learn::libsvm::Machine::predictClass (C++ function) bob::learn::libsvm::Machine::predictClass_ (C++ function) bob::learn::libsvm::Machine::predictClassAndProbabilities (C++ function) bob::learn::libsvm::Machine::predictClassAndProbabilities_ (C++ function) bob::learn::libsvm::Machine::predictClassAndScores (C++ function) bob::learn::libsvm::Machine::predictClassAndScores_ (C++ function) bob::learn::libsvm::Machine::save (C++ function), [1]

bob::learn::libsvm::Machine::setInputDivision (C++ function), [1] bob::learn::libsvm::Machine::setInputSubtraction (C++ function), [1] bob::learn::libsvm::Machine::supportsProbability (C++ function) bob::learn::libsvm::Machine::~Machine (C++ function) bob::learn::libsvm::machine_t (C++ type) bob::learn::libsvm::Trainer (C++ class) bob::learn::libsvm::Trainer::getCacheSizeInMb (C++ function) bob::learn::libsvm::Trainer::getCoef0 (C++ function) bob::learn::libsvm::Trainer::getCost (C++ function) bob::learn::libsvm::Trainer::getDegree (C++ function) bob::learn::libsvm::Trainer::getGamma (C++ function) bob::learn::libsvm::Trainer::getKernelType (C++ function) bob::learn::libsvm::Trainer::getLossEpsilonSVR (C++ function) bob::learn::libsvm::Trainer::getMachineType (C++ function) bob::learn::libsvm::Trainer::getNu (C++ function) bob::learn::libsvm::Trainer::getProbabilityEstimates (C++ function) bob::learn::libsvm::Trainer::getStopEpsilon (C++ function) bob::learn::libsvm::Trainer::getUseShrinking (C++ function) bob::learn::libsvm::Trainer::setCacheSizeInMb (C++ function) bob::learn::libsvm::Trainer::setCoef0 (C++ function) bob::learn::libsvm::Trainer::setCost (C++ function) bob::learn::libsvm::Trainer::setDegree (C++ function) bob::learn::libsvm::Trainer::setGamma (C++ function) bob::learn::libsvm::Trainer::setKernelType (C++ function) bob::learn::libsvm::Trainer::setLossEpsilonSVR (C++ function) bob::learn::libsvm::Trainer::setMachineType (C++ function) bob::learn::libsvm::Trainer::setNu (C++ function) bob::learn::libsvm::Trainer::setProbabilityEstimates (C++ function) bob::learn::libsvm::Trainer::setStopEpsilon (C++ function) bob::learn::libsvm::Trainer::setUseShrinking (C++ function) bob::learn::libsvm::Trainer::train (C++ function), [1] bob::learn::libsvm::Trainer::Trainer (C++ function) bob::learn::libsvm::Trainer::~Trainer (C++ function)

C

cache_size (bob.learn.libsvm.Trainer attribute) coef0 (bob.learn.libsvm.Machine attribute) (bob.learn.libsvm.Trainer attribute)

cost (bob.learn.libsvm.Trainer attribute) cxx (C++ member), [1], [2]

D

degree (bob.learn.libsvm.Machine attribute) (bob.learn.libsvm.Trainer attribute)

E

eof() (bob.learn.libsvm.File method)

F

fail() (bob.learn.libsvm.File method) File (class in bob.learn.libsvm)

filename (bob.learn.libsvm.File attribute) forward() (bob.learn.libsvm.Machine method)

G

gamma (bob.learn.libsvm.Machine attribute) (bob.learn.libsvm.Trainer attribute) get_config() (in module bob.learn.libsvm)

good() (bob.learn.libsvm.File method)

I

input_divide (bob.learn.libsvm.Machine attribute)

input_subtract (bob.learn.libsvm.Machine attribute)

K

kernel_type (bob.learn.libsvm.Machine attribute) (bob.learn.libsvm.Trainer attribute)

L

labels (bob.learn.libsvm.Machine attribute)

loss_epsilon_svr (bob.learn.libsvm.Trainer attribute)

M

Machine (class in bob.learn.libsvm)

machine_type (bob.learn.libsvm.Machine attribute) (bob.learn.libsvm.Trainer attribute)

N

n_support_vectors (bob.learn.libsvm.Machine attribute)

nu (bob.learn.libsvm.Trainer attribute)

P

predict_class() (bob.learn.libsvm.Machine method) predict_class_and_probabilities() (bob.learn.libsvm.Machine method) predict_class_and_scores() (bob.learn.libsvm.Machine method) probability (bob.learn.libsvm.Machine attribute) (bob.learn.libsvm.Trainer attribute) PyBobLearnLibsvm_CStringAsKernelType (C++ function) PyBobLearnLibsvm_CStringAsMachineType (C++ function) PyBobLearnLibsvm_KernelTypeAsString (C++ function) PyBobLearnLibsvm_MachineTypeAsString (C++ function) PyBobLearnLibsvm_StringAsKernelType (C++ function)

PyBobLearnLibsvm_StringAsMachineType (C++ function) PyBobLearnLibsvmFile_Check (C++ function) PyBobLearnLibsvmFileObject (C++ type) PyBobLearnLibsvmMachine_Check (C++ function) PyBobLearnLibsvmMachine_NewFromMachine (C++ function) PyBobLearnLibsvmMachineObject (C++ type) PyBobLearnLibsvmTrainer_Check (C++ function) PyBobLearnLibsvmTrainerObject (C++ type)

R

read() (bob.learn.libsvm.File method) read_all() (bob.learn.libsvm.File method)

reset() (bob.learn.libsvm.File method)

S

samples (bob.learn.libsvm.File attribute) save() (bob.learn.libsvm.Machine method) shape (bob.learn.libsvm.File attribute) (bob.learn.libsvm.Machine attribute)

shrinking (bob.learn.libsvm.Trainer attribute) stop_epsilon (bob.learn.libsvm.Trainer attribute)

T

train() (bob.learn.libsvm.Trainer method)

Trainer (class in bob.learn.libsvm)