Class Hierarchy

This inheritance list is sorted roughly, but not completely, alphabetically:

[detail level 1234]

CBitArray
Cbitarray	Bit array implementation (1 bit per element)
Cquickrank::data::Dataset	This class implements a Dataset to be used for a L-t-R task
Cquickrank::driver::Driver	This class implements the main logic of the quickrank application
CEnsemble
Cquickrank::data::external_sort_op_t
Cquickrank::learning::forests::external_sort_op_t
Cquickrank::io::GenOblivious	This class is a code generator on QuickRank XML files
Cquickrank::io::GenOpCond	This class is a code generator on QuickRank XML files
Cquickrank::io::GenVpred	This class is a code generator on QuickRank XML files
CMaxHeap< val_t >::item
▼Cquickrank::learning::LTR_Algorithm
Cquickrank::learning::CustomLTR
▼Cquickrank::learning::forests::Mart
▼Cquickrank::learning::forests::LambdaMart
Cquickrank::learning::forests::ObliviousLambdaMart
Cquickrank::learning::forests::ObliviousMart
Cquickrank::learning::forests::Rankboost	This implements the RankBoost algorithm
Cquickrank::learning::linear::CoordinateAscent	This implements the Coordinate Ascent algorithm
Cquickrank::learning::linear::LineSearch	This implements the Line Search algorithm
Cmahheap	Max-heap implementation with key of type float
▼CMaxHeap< val_t >
CDevianceMaxHeap
▼Cquickrank::metric::ir::Metric	This class implements the basic functionalities of an IR evaluation metric
▼Cquickrank::metric::ir::Dcg	This class implements the Discounted cumulative Gain DCG@K measure
▼Cquickrank::metric::ir::Ndcg	This class implements the Normalized Discounted cumulative Gain NDCG@k measure
Cquickrank::metric::ir::Tndcg	This class implements a Tie-aware version of Normalized Discounted Cumulative Gain TNDCG@k measure
Cquickrank::metric::ir::Map	This class implements the average precision AP@k measure
▼Cquickrank::optimization::Optimization
▼Cquickrank::optimization::post_learning::PostLearningOptimization
▼Cquickrank::optimization::post_learning::pruning::Cleaver	This implements various strategies for pruning ensembles
Cquickrank::optimization::post_learning::pruning::LastPruning	This implements random pruning strategy for pruning ensembles
Cquickrank::optimization::post_learning::pruning::LowWeightsPruning	This implements random pruning strategy for pruning ensembles
Cquickrank::optimization::post_learning::pruning::QualityLossPruning	This implements random pruning strategy for pruning ensembles
Cquickrank::optimization::post_learning::pruning::RandomPruning	This implements random pruning strategy for pruning ensembles
Cquickrank::optimization::post_learning::pruning::ScoreLossPruning	This implements random pruning strategy for pruning ensembles
Cquickrank::optimization::post_learning::pruning::SkipPruning	This implements random pruning strategy for pruning ensembles
Cquickrank::optimization::pre_learning::PreLearningOptimization
Cquickrank::data::QueryResults	This class wraps a set of results for a given query
Cquickrank::data::RankedResults	This class generates a ranked list of results
▼CRegressionTree
CObliviousRT
CRTNode
▼CRTNodeHistogram
CRTRootHistogram
Cquickrank::io::Svml	This class implements IO on Svml files
Csymmatrix	Symmetric matrix implementation
CSymMatrix< T >
Cquickrank::io::tree_node
Cquickrank::data::VerticalDataset	This class implements a Dataset to be used for a L-t-R task
Cquickrank::learning::forests::WeakRanker
CEnsemble::wt