averageSequenceLength enum value | lti::hmmTrainer::parameters | |
clone() const | lti::hmmTrainer::parameters | [virtual] |
convergenceThreshold | lti::hmmTrainer::parameters | |
copy(const parameters &other) | lti::hmmTrainer::parameters | |
lti::functor::parameters::copy(const parameters &other) | lti::functor::parameters | |
estimatorFunction | lti::hmmTrainer::parameters | |
estimatorType enum name | lti::hmmTrainer::parameters | |
estimMaximumLikelihood enum value | lti::hmmTrainer::parameters | |
estimMeanDeviation enum value | lti::hmmTrainer::parameters | |
estimMeanDeviationRoot enum value | lti::hmmTrainer::parameters | |
estimStandardDeviation enum value | lti::hmmTrainer::parameters | |
firstSplit | lti::hmmTrainer::parameters | |
getTypeName() const | lti::hmmTrainer::parameters | [virtual] |
initialize() | lti::object | [protected] |
initialScore | lti::hmmTrainer::parameters | |
ioObject() | lti::ioObject | |
ioObject(const ioObject &other) | lti::ioObject | |
ltiLibInitialized | lti::object | [protected, static] |
maxDensities | lti::hmmTrainer::parameters | |
maximumJump | lti::hmmTrainer::parameters | |
maxIterations | lti::hmmTrainer::parameters | |
minFramesForSplit | lti::hmmTrainer::parameters | |
minimumJump | lti::hmmTrainer::parameters | |
minimumSequenceLength enum value | lti::hmmTrainer::parameters | |
minScalingFactor | lti::hmmTrainer::parameters | |
modelPooling enum value | lti::hmmTrainer::parameters | |
noPooling enum value | lti::hmmTrainer::parameters | |
numberOfStates | lti::hmmTrainer::parameters | |
object() | lti::object | |
operator=(const parameters &other) | lti::hmmTrainer::parameters | |
lti::functor::parameters::operator=(const parameters &other) | lti::functor::parameters | [protected] |
parameters() | lti::hmmTrainer::parameters | |
parameters(const parameters &other) | lti::hmmTrainer::parameters | |
lti::functor::parameters::parameters(const parameters &other) | lti::functor::parameters | |
pooling | lti::hmmTrainer::parameters | |
poolingType enum name | lti::hmmTrainer::parameters | |
read(ioHandler &handler, const bool complete=true) | lti::hmmTrainer::parameters | [virtual] |
reassignmentIterations | lti::hmmTrainer::parameters | |
scoreFunction | lti::hmmTrainer::parameters | |
statePooling enum value | lti::hmmTrainer::parameters | |
write(ioHandler &handler, const bool complete=true) const | lti::hmmTrainer::parameters | [virtual] |
~ioObject() | lti::ioObject | [virtual] |
~object() | lti::object | [virtual] |
~parameters() | lti::hmmTrainer::parameters | [virtual] |