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yat
0.12.3pre
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Classifier related classes. More...
Classes | |
| class | BootstrapSampler |
| Class creating trainingset and validationset using bootstrapping. More... | |
| class | ConsensusInputRanker |
| Robust algorithm to rank rows in a data matrix versus a target vector. More... | |
| class | CrossValidationSampler |
| Class splitting a set into training set and validation set in a crossvalidation manner. More... | |
| class | DataLookup1D |
| Class for general vector view. More... | |
| class | DataLookupWeighted1D |
| Class for general weighted vector view. More... | |
| class | EnsembleBuilder |
| Class for ensembles of supervised classifiers. More... | |
| class | FeatureSelector |
| Interface class for FeatureSelection. More... | |
| class | FeatureSelectorIR |
| FeatureSelector using an InputRanker. More... | |
| class | FeatureSelectorRandom |
| Class for selection features by random. More... | |
| class | GaussianKernelFunction |
| Class for Gaussian kernel calculations. More... | |
| class | IGP |
| Class for In Group Proportions (IGP) More... | |
| class | IRRank |
| Functor retrieving minus rank from a InputRanker to build a ConsensusInputRanker. More... | |
| class | IRRetrieve |
| Interface class for retrieving information from a InputRanker to build a ConsensusInputRanker. More... | |
| class | InputRanker |
| Class for ranking rows in a matrix, using a Score and a target vector. More... | |
| class | Kernel |
| Interface Class for Kernels. More... | |
| class | KernelFunction |
| Interface class calculating elements in Kernel. More... | |
| class | KernelLookup |
| Lookup into Kernel. More... | |
| class | Kernel_MEV |
| Memory Efficient Kernel. More... | |
| class | Kernel_SEV |
| Speed Efficient Kernel. More... | |
| class | KNN |
| Nearest Neighbor Classifier. More... | |
| class | NeighborWeightingConcept |
| Concept check for a Neighbor Weighting Method. More... | |
| struct | KNN_ReciprocalDistance |
| A model of the concept Neighbor Weighting Method to be used with KNN to weight the votes of the k nearest neighbors of a sample. More... | |
| struct | KNN_ReciprocalRank |
| A model of the concept Neighbor Weighting Method to be used with KNN to weight the votes of the k nearest neighbors of a sample. More... | |
| struct | KNN_Uniform |
| A model of the concept Neighbor Weighting Method to be used with KNN to weight the votes of the k nearest neighbors of a sample. More... | |
| class | MatrixLookup |
| General view into utility::Matrix. More... | |
| class | MatrixLookupWeighted |
| General view into utility::MatrixWeighted. More... | |
| class | NBC |
| Naive Bayesian Classifier. More... | |
| class | NCC |
| Nearest Centroid Classifier. More... | |
| class | PolynomialKernelFunction |
| Class for polynomial kernel calculations. More... | |
| class | SVM |
| Support Vector Machine. More... | |
| class | SvmMultiClass |
| Support Vector Machine for more than two classes. More... | |
| class | SVindex |
| class | Sampler |
| Interface class for dividing samples into training and validation. More... | |
| class | SubsetGenerator |
| Class splitting Data into training and validation set. More... | |
| class | SupervisedClassifier |
| Interface class for supervised classifiers that use data in a matrix format. More... | |
| class | Target |
| Class for containing sample labels. More... | |
Functions | |
| double | sum_weight (const DataLookupWeighted1D &) |
| void | convert (const DataLookup1D &, utility::Vector &) |
| void | convert (const DataLookupWeighted1D &, utility::Vector &value, utility::Vector &weight) |
Classifier related classes.
All classes associated with usage of classifiers are defined within this namespace.
| void convert | ( | const DataLookup1D & | , |
| utility::Vector & | |||
| ) |
Converts a DataLookup1D to a utility::vector
| void convert | ( | const DataLookupWeighted1D & | , |
| utility::Vector & | value, | ||
| utility::Vector & | weight | ||
| ) |
Converts a DataLookupWeighted1D to two utility::vector
| double sum_weight | ( | const DataLookupWeighted1D & | ) |
1.8.5