| ApplyMapping(Array::Array2dScalarReal64 *feats) | Impala::Core::Training::Fisher | [inline] |
| CNormC() | Impala::Core::Training::Fisher | [inline] |
| Fisher() | Impala::Core::Training::Fisher | [inline] |
| ILOG_VAR_DEC | Impala::Core::Training::Fisher | [private] |
| LoadModel(const std::string &name, Util::Database *db) | Impala::Core::Training::Fisher | [inline, virtual] |
| mCount | Impala::Core::Training::Fisher | [private] |
| mFeatureLength | Impala::Core::Training::Fisher | [private] |
| mMapped | Impala::Core::Training::Fisher | [private] |
| mOffset | Impala::Core::Training::Fisher | [private] |
| mProbabilities | Impala::Core::Training::Fisher | [private] |
| mRotation | Impala::Core::Training::Fisher | [private] |
| mSampleLength | Impala::Core::Training::Fisher | [private] |
| mTestFeatures | Impala::Core::Training::Fisher | [private] |
| mTestLabels | Impala::Core::Training::Fisher | [private] |
| mTrainFeatures | Impala::Core::Training::Fisher | [private] |
| mTrainLabels | Impala::Core::Training::Fisher | [private] |
| Predict(const Vector::VectorTem< double > *feature) | Impala::Core::Training::Fisher | [inline, virtual] |
| Predict(Table::SimilarityTableSet::SimTableType *result) | Impala::Core::Training::Fisher | [inline, virtual] |
| Impala::Core::Training::Classifier::Predict(TrainDataSrc *data)=0 | Impala::Core::Training::Classifier | [pure virtual] |
| Rank() | Impala::Core::Training::Fisher | [inline, virtual] |
| SaveModel(const std::string &name, Util::Database *db) | Impala::Core::Training::Fisher | [inline, virtual] |
| SetTestSet(Feature::FeatureTable *data, Table::AnnotationTable *annotation, Table::QuidTable *mask) | Impala::Core::Training::Fisher | [inline, virtual] |
| SetTestSet(const Vector::VectorSet< Array::Array2dScalarReal64 > *set) | Impala::Core::Training::Fisher | [inline] |
| SetTrainSet(Feature::FeatureTable *data, Table::AnnotationTable *annotation, Table::QuidTable *mask) | Impala::Core::Training::Fisher | [inline, virtual] |
| SigmoidMap(Matrix::Mat *Map, Impala::Real64 scale=1) | Impala::Core::Training::Fisher | [inline] |
| Train(Util::PropertySet *properties) | Impala::Core::Training::Fisher | [inline] |
| Impala::Core::Training::Classifier::Train(Util::PropertySet *properties, TrainDataSrc *data)=0 | Impala::Core::Training::Classifier | [pure virtual] |
| ~Classifier() | Impala::Core::Training::Classifier | [inline, virtual] |
| ~Fisher() | Impala::Core::Training::Fisher | [inline] |
