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QuickRank
v2.0
QuickRank: A C++ suite of Learning to Rank algorithms
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QuickRank
v2.0
QuickRank: A C++ suite of Learning to Rank algorithms
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| ▼Nquickrank | |
| ▼Ndata | |
| CDataset | This class implements a Dataset to be used for a L-t-R task |
| Cexternal_sort_op_t | |
| CQueryResults | This class wraps a set of results for a given query |
| CRankedResults | This class generates a ranked list of results |
| CVerticalDataset | This class implements a Dataset to be used for a L-t-R task |
| ▼Ndriver | |
| CDriver | This class implements the main logic of the quickrank application |
| ▼Nio | |
| CGenOblivious | This class is a code generator on QuickRank XML files |
| CGenOpCond | This class is a code generator on QuickRank XML files |
| CGenVpred | This class is a code generator on QuickRank XML files |
| CSvml | This class implements IO on Svml files |
| Ctree_node | |
| ▼Nlearning | |
| ▼Nforests | |
| Cexternal_sort_op_t | |
| CLambdaMart | |
| CMart | |
| CObliviousLambdaMart | |
| CObliviousMart | |
| CRankboost | This implements the RankBoost algorithm |
| CWeakRanker | |
| ▼Nlinear | |
| CCoordinateAscent | This implements the Coordinate Ascent algorithm |
| CLineSearch | This implements the Line Search algorithm |
| CCustomLTR | |
| CLTR_Algorithm | |
| ▼Nmetric | |
| ▼Nir | |
| CDcg | This class implements the Discounted cumulative Gain DCG@K measure |
| CMap | This class implements the average precision AP@k measure |
| CMetric | This class implements the basic functionalities of an IR evaluation metric |
| CNdcg | This class implements the Normalized Discounted cumulative Gain NDCG@k measure |
| CTndcg | This class implements a Tie-aware version of Normalized Discounted Cumulative Gain TNDCG@k measure |
| ▼Noptimization | |
| ▼Npost_learning | |
| ▼Npruning | |
| CCleaver | This implements various strategies for pruning ensembles |
| CLastPruning | This implements random pruning strategy for pruning ensembles |
| CLowWeightsPruning | This implements random pruning strategy for pruning ensembles |
| CQualityLossPruning | This implements random pruning strategy for pruning ensembles |
| CRandomPruning | This implements random pruning strategy for pruning ensembles |
| CScoreLossPruning | This implements random pruning strategy for pruning ensembles |
| CSkipPruning | This implements random pruning strategy for pruning ensembles |
| CPostLearningOptimization | |
| ▼Npre_learning | |
| CPreLearningOptimization | |
| COptimization | |
| CBitArray | |
| Cbitarray | Bit array implementation (1 bit per element) |
| CDevianceMaxHeap | |
| ▼CEnsemble | |
| Cwt | |
| Cmahheap | Max-heap implementation with key of type float |
| ▼CMaxHeap | |
| Citem | |
| CObliviousRT | |
| CRegressionTree | |
| CRTNode | |
| CRTNodeHistogram | |
| CRTRootHistogram | |
| Csymmatrix | Symmetric matrix implementation |
| CSymMatrix |
1.8.11
