There are 261 classes:

Class | Rank | Trust | LCOM | LCOM2 | LCOM3 | LCOM5 | MMAC | NHD | OCC | PCC | SCOM | TCC |
---|---|---|---|---|---|---|---|---|---|---|---|---|

`c.t.a.m.t.m.A..$` |
0.56 | 0.3 | ||||||||||

`c.t.a.m.t.m.A..$` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.A..$` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.A..$` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.A..$C..$` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.A..$C..$CalThread` |
0.64 | 0.3 | ||||||||||

`c.t.a.m.t.m.A..$C..$G..$` |
0.52 | 0.3 | ||||||||||

`c.t.a.m.t.m.A..$C..$GradientAndLoss` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.A..$CostFun` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.A..$L..$` |
0.56 | 0.3 | ||||||||||

`c.t.a.m.t.m.A..$L..$` |
0.52 | 0.3 | ||||||||||

`c.t.a.m.t.m.A..$LocalIndex` |
0.52 | 0.5 | ||||||||||

`c.t.a.m.t.m.A..$LocalModel` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.ADMM` |
0.40 | 0.3 | ||||||||||

`c.t.a.m.t.m.AdaDelta` |
0.40 | 0.3 | ||||||||||

`c.t.a.m.t.m.AdaDeltaExpr` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.AdaGrad` |
0.40 | 0.3 | ||||||||||

`c.t.a.m.t.m.AdaGradExpr` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.Adam` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.AdamExpr` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.AfterSplitRunner` |
0.60 | 0.5 | ||||||||||

`c.t.a.m.t.m.AliasTable` |
0.60 | 0.5 | ||||||||||

`c.t.a.m.t.m.AvgQSketch` |
0.72 | 0.3 | ||||||||||

`c.t.a.m.t.m.BJHash` |
0.60 | 0.5 | ||||||||||

`c.t.a.m.t.m.BinarySearch` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.CMSketch` |
0.52 | 0.3 | ||||||||||

`c.t.a.m.t.m.CSRPartUpdateParam` |
0.60 | 0.3 | ||||||||||

`c.t.a.m.t.m.CSRTokens` |
0.60 | 0.5 | ||||||||||

`c.t.a.m.t.m.ColumnGetResult` |
0.76 | 0.5 | ||||||||||

`c.t.a.m.t.m.D..$` |
0.60 | 0.5 | ||||||||||

`c.t.a.m.t.m.D..$` |
0.56 | 0.3 | ||||||||||

`c.t.a.m.t.m.D..$` |
0.56 | 0.3 | ||||||||||

`c.t.a.m.t.m.DataParser` |
0.60 | 0.5 | ||||||||||

`c.t.a.m.t.m.DefaultBinary` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.DefaultTernary` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.DefaultUnary` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.DenseDataParser` |
0.52 | 0.5 | ||||||||||

`c.t.a.m.t.m.Document` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.DummyDataParser` |
0.52 | 0.5 | ||||||||||

`c.t.a.m.t.m.E..$` |
0.64 | 0.3 | ||||||||||

`c.t.a.m.t.m.E..$` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.E..$class` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.ErrorEvalMetric` |
0.52 | 0.5 | ||||||||||

`c.t.a.m.t.m.EvaluateTask` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.ExecuteUtils` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.ExpLoss` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.F..$` |
0.52 | 0.5 | ||||||||||

`c.t.a.m.t.m.F..$` |
0.52 | 0.3 | ||||||||||

`c.t.a.m.t.m.F..$` |
0.60 | 0.3 | ||||||||||

`c.t.a.m.t.m.F..$` |
0.52 | 0.5 | ||||||||||

`c.t.a.m.t.m.FMLearner` |
0.52 | 0.5 | ||||||||||

`c.t.a.m.t.m.FMModel` |
0.52 | 0.5 | ||||||||||

`c.t.a.m.t.m.FMPredictResult` |
0.52 | 0.5 | ||||||||||

`c.t.a.m.t.m.FMPredictTask` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.FMRunner` |
0.48 | 0.3 | ||||||||||

`c.t.a.m.t.m.FMTrainTask` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.FOBOS` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.FTRL` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.FTRLLRLearner` |
0.52 | 0.5 | ||||||||||

`c.t.a.m.t.m.FTRLLRModel` |
0.52 | 0.5 | ||||||||||

`c.t.a.m.t.m.FTRLLRPredictResult` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.FTRLLRPredictTask` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.FTRLLRRunner` |
0.48 | 0.3 | ||||||||||

`c.t.a.m.t.m.FTRLLRTrainTask` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.FTree` |
0.72 | 0.3 | ||||||||||

`c.t.a.m.t.m.FeatureMeta` |
0.64 | 0.3 | ||||||||||

`c.t.a.m.t.m.G..$` |
0.52 | 0.5 | ||||||||||

`c.t.a.m.t.m.G..$` |
0.60 | 0.3 | ||||||||||

`c.t.a.m.t.m.GBDTController` |
0.72 | 0.3 | ||||||||||

`c.t.a.m.t.m.GBDTGradHistGetRowFunc` |
0.60 | 0.5 | ||||||||||

`c.t.a.m.t.m.GBDTGradHistGetRowResult` |
0.60 | 0.5 | ||||||||||

`c.t.a.m.t.m.GBDTLearner` |
0.52 | 0.3 | ||||||||||

`c.t.a.m.t.m.GBDTModel` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.GBDTParam` |
0.84 | 0.5 | ||||||||||

`c.t.a.m.t.m.GBDTPhase` |
0.76 | 0.5 | ||||||||||

`c.t.a.m.t.m.GBDTPredictResult` |
0.60 | 0.5 | ||||||||||

`c.t.a.m.t.m.GBDTPredictTask` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.GBDTRunner` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.GBDTTrainTask` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.GetColumnFunc` |
0.48 | 0.3 | ||||||||||

`c.t.a.m.t.m.GetPartFunc` |
0.52 | 0.5 | ||||||||||

`c.t.a.m.t.m.GradHistHelper` |
0.76 | 0.3 | ||||||||||

`c.t.a.m.t.m.GradHistThread` |
0.60 | 0.5 | ||||||||||

`c.t.a.m.t.m.GradPair` |
0.40 | 0.3 | ||||||||||

`c.t.a.m.t.m.GradStats` |
0.60 | 0.3 | ||||||||||

`c.t.a.m.t.m.GradientDescent` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.H..$` |
0.48 | 0.3 | ||||||||||

`c.t.a.m.t.m.H..$` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.H..$` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.H..$HistPartitionAggrParam` |
0.68 | 0.3 | ||||||||||

`c.t.a.m.t.m.HDFSUtils` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.HingeLoss` |
0.52 | 0.3 | ||||||||||

`c.t.a.m.t.m.HistAggrParam` |
0.60 | 0.5 | ||||||||||

`c.t.a.m.t.m.HuberLoss` |
0.52 | 0.5 | ||||||||||

`c.t.a.m.t.m.Int2IntHash` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.ItemVec` |
0.40 | 0.3 | ||||||||||

`c.t.a.m.t.m.K..$` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.K..$` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.KMeansLearner` |
0.52 | 0.5 | ||||||||||

`c.t.a.m.t.m.KMeansModel` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.KMeansPredictTask` |
0.52 | 0.3 | ||||||||||

`c.t.a.m.t.m.KMeansResult` |
0.60 | 0.5 | ||||||||||

`c.t.a.m.t.m.KMeansRunner` |
0.48 | 0.3 | ||||||||||

`c.t.a.m.t.m.KMeansTrainTask` |
0.52 | 0.5 | ||||||||||

`c.t.a.m.t.m.L..$` |
0.60 | 0.5 | ||||||||||

`c.t.a.m.t.m.L..$` |
0.52 | 0.5 | ||||||||||

`c.t.a.m.t.m.L..$` |
0.56 | 0.3 | ||||||||||

`c.t.a.m.t.m.L..$` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.L..$` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.L..$` |
0.52 | 0.5 | ||||||||||

`c.t.a.m.t.m.L..$BinaryLogisticLoss` |
0.60 | 0.5 | ||||||||||

`c.t.a.m.t.m.L..$DirectLogisticLoss` |
0.48 | 0.3 | ||||||||||

`c.t.a.m.t.m.L..$LikelihoodPartParam` |
0.64 | 0.3 | ||||||||||

`c.t.a.m.t.m.L..$LinearSquareLoss` |
0.44 | 0.3 | ||||||||||

`c.t.a.m.t.m.L..$LogisticLoss` |
0.52 | 0.3 | ||||||||||

`c.t.a.m.t.m.L1LogLoss` |
0.44 | 0.3 | ||||||||||

`c.t.a.m.t.m.L1Loss` |
0.52 | 0.3 | ||||||||||

`c.t.a.m.t.m.L2HingeLoss` |
0.52 | 0.3 | ||||||||||

`c.t.a.m.t.m.L2LogLoss` |
0.44 | 0.3 | ||||||||||

`c.t.a.m.t.m.L2Loss` |
0.52 | 0.3 | ||||||||||

`c.t.a.m.t.m.LBFGS` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.LDAIncTask` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.LDAInferTask` |
0.52 | 0.5 | ||||||||||

`c.t.a.m.t.m.LDALearner` |
0.52 | 0.5 | ||||||||||

`c.t.a.m.t.m.LDAModel` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.LDAPredictTask` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.LDARunner` |
0.48 | 0.3 | ||||||||||

`c.t.a.m.t.m.LDATrainTask` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.LDATrainer` |
0.56 | 0.3 | ||||||||||

`c.t.a.m.t.m.LRLearner` |
0.52 | 0.5 | ||||||||||

`c.t.a.m.t.m.LRModel` |
0.52 | 0.5 | ||||||||||

`c.t.a.m.t.m.LRPredictResult` |
0.64 | 0.3 | ||||||||||

`c.t.a.m.t.m.LRPredictTask` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.LRRunner` |
0.48 | 0.3 | ||||||||||

`c.t.a.m.t.m.LRTrainTask` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.LibSVMDataParser` |
0.52 | 0.5 | ||||||||||

`c.t.a.m.t.m.LikelihoodFunc` |
0.52 | 0.5 | ||||||||||

`c.t.a.m.t.m.LikelihoodParam` |
0.60 | 0.5 | ||||||||||

`c.t.a.m.t.m.LinearRegLeaner` |
0.52 | 0.5 | ||||||||||

`c.t.a.m.t.m.LinearRegModel` |
0.52 | 0.3 | ||||||||||

`c.t.a.m.t.m.LinearRegPredictResult` |
0.60 | 0.5 | ||||||||||

`c.t.a.m.t.m.LinearRegPredictTask` |
0.52 | 0.3 | ||||||||||

`c.t.a.m.t.m.LinearRegRunner` |
0.48 | 0.3 | ||||||||||

`c.t.a.m.t.m.LinearRegTrainTask` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.LogErrorMetric` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.LogLossMetric` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.LogisticGradient` |
0.64 | 0.3 | ||||||||||

`c.t.a.m.t.m.LogisticLoss` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.Loss` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.M..$` |
0.64 | 0.3 | ||||||||||

`c.t.a.m.t.m.M..$` |
0.60 | 0.5 | ||||||||||

`c.t.a.m.t.m.M..$` |
0.52 | 0.5 | ||||||||||

`c.t.a.m.t.m.M..$` |
0.60 | 0.5 | ||||||||||

`c.t.a.m.t.m.M..$` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.M..$` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.M..$class` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.MAEMetric` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.MFLearner` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.MFModel` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.MFTrainTask` |
0.52 | 0.3 | ||||||||||

`c.t.a.m.t.m.MLConf` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.MLLearner` |
0.52 | 0.3 | ||||||||||

`c.t.a.m.t.m.MLRLearner` |
0.52 | 0.5 | ||||||||||

`c.t.a.m.t.m.MLRModel` |
0.52 | 0.5 | ||||||||||

`c.t.a.m.t.m.MLRPredictResult` |
0.60 | 0.5 | ||||||||||

`c.t.a.m.t.m.MLRPredictTask` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.MLRRunner` |
0.48 | 0.3 | ||||||||||

`c.t.a.m.t.m.MLRTrainTask` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.Maths` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.MatrixFactorizationRunner` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.MeasureUtils` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.MiniBatchSGD` |
0.48 | 0.3 | ||||||||||

`c.t.a.m.t.m.Mix64Hash` |
0.60 | 0.5 | ||||||||||

`c.t.a.m.t.m.ModelConverterRunner` |
0.60 | 0.5 | ||||||||||

`c.t.a.m.t.m.ModelConverterTask` |
0.52 | 0.3 | ||||||||||

`c.t.a.m.t.m.ModelMergeAndConverterRunner` |
0.60 | 0.5 | ||||||||||

`c.t.a.m.t.m.ModelMergeAndConverterTask` |
0.52 | 0.3 | ||||||||||

`c.t.a.m.t.m.Momentum` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.MulHash` |
0.60 | 0.5 | ||||||||||

`c.t.a.m.t.m.MultiErrorMetric` |
0.48 | 0.3 | ||||||||||

`c.t.a.m.t.m.NullBinary` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.NullTernary` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.NullUnary` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.O..$` |
0.64 | 0.3 | ||||||||||

`c.t.a.m.t.m.O..$` |
0.60 | 0.5 | ||||||||||

`c.t.a.m.t.m.OWLQN` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.OptMethods` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.OptModel` |
0.52 | 0.5 | ||||||||||

`c.t.a.m.t.m.OptUtils` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.Optimizer` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.PEvaluateTask` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.PSgdTask` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.PWriteUserTask` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.PartCSRResult` |
0.44 | 0.3 | ||||||||||

`c.t.a.m.t.m.PartColumnResult` |
0.72 | 0.3 | ||||||||||

`c.t.a.m.t.m.PredictTask` |
0.52 | 0.3 | ||||||||||

`c.t.a.m.t.m.R..$` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.R..$` |
0.60 | 0.3 | ||||||||||

`c.t.a.m.t.m.RDA` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.RMSEMetric` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.RMSPropExpr` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.RMSprop` |
0.40 | 0.3 | ||||||||||

`c.t.a.m.t.m.ReflectionUtils` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.RegLossObj` |
0.76 | 0.3 | ||||||||||

`c.t.a.m.t.m.RegTDataStore` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.RegTNodeStat` |
0.44 | 0.3 | ||||||||||

`c.t.a.m.t.m.RegTParam` |
0.56 | 0.3 | ||||||||||

`c.t.a.m.t.m.RegTree` |
0.48 | 0.3 | ||||||||||

`c.t.a.m.t.m.S..$` |
0.52 | 0.5 | ||||||||||

`c.t.a.m.t.m.S..$` |
0.64 | 0.3 | ||||||||||

`c.t.a.m.t.m.S..$` |
0.76 | 0.5 | ||||||||||

`c.t.a.m.t.m.S..$` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.S..$` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.S..$` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.S2BTightTraverseMap` |
0.64 | 0.3 | ||||||||||

`c.t.a.m.t.m.S2BTraverseMap` |
0.56 | 0.5 | ||||||||||

`c.t.a.m.t.m.S2ITraverseMap` |
0.56 | 0.5 | ||||||||||

`c.t.a.m.t.m.S2STightTraverseMap` |
0.64 | 0.3 | ||||||||||

`c.t.a.m.t.m.S2STraverseMap` |
0.56 | 0.5 | ||||||||||

`c.t.a.m.t.m.SVMLearner` |
0.52 | 0.5 | ||||||||||

`c.t.a.m.t.m.SVMModel` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.SVMPredictResult` |
0.60 | 0.5 | ||||||||||

`c.t.a.m.t.m.SVMPredictTask` |
0.52 | 0.3 | ||||||||||

`c.t.a.m.t.m.SVMRunner` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.SVMTrainTask` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.Sampler` |
0.72 | 0.3 | ||||||||||

`c.t.a.m.t.m.ScalarExpr` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.SgdTask` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.SoftMaxLoss` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.SoftmaxMultiClassObj` |
0.52 | 0.3 | ||||||||||

`c.t.a.m.t.m.SparseLRLearner` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.SparseLRModel` |
0.52 | 0.5 | ||||||||||

`c.t.a.m.t.m.SparseLRPredictResult` |
0.64 | 0.3 | ||||||||||

`c.t.a.m.t.m.SparseLRPredictTask` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.SparseLRRunner` |
0.48 | 0.3 | ||||||||||

`c.t.a.m.t.m.SparseLRTrainTask` |
0.52 | 0.5 | ||||||||||

`c.t.a.m.t.m.SplitEntry` |
0.76 | 0.3 | ||||||||||

`c.t.a.m.t.m.SquareHingeLoss` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.SquareL2Loss` |
0.52 | 0.5 | ||||||||||

`c.t.a.m.t.m.SquareLoss` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.T..$` |
0.64 | 0.3 | ||||||||||

`c.t.a.m.t.m.TAvgDisSplit` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.TNode` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.TOperation` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.TSplitValueHelper` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.TWHash` |
0.60 | 0.5 | ||||||||||

`c.t.a.m.t.m.TYahooSketchSplit` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.TrainTask` |
0.52 | 0.5 | ||||||||||

`c.t.a.m.t.m.TraverseHashMap` |
0.48 | 0.3 | ||||||||||

`c.t.a.m.t.m.Tree` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.TreeParam` |
0.64 | 0.3 | ||||||||||

`c.t.a.m.t.m.U..$` |
0.60 | 0.3 | ||||||||||

`c.t.a.m.t.m.UpdatePartFunc` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.UserVec` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.Utils` |
0.68 | 0.5 | ||||||||||

`c.t.a.m.t.m.ValidationUtils` |
0.76 | 0.5 | ||||||||||

`c.t.a.m.t.m.WTokens` |
0.44 | 0.5 | ||||||||||

`c.t.a.m.t.m.YahooSketch` |
0.76 | 0.3 | ||||||||||

`c.t.a.m.t.m.ZipLR` |
0.48 | 0.3 | ||||||||||

`c.t.a.m.t.m.mlrW..$` |
0.56 | 0.3 | ||||||||||

`c.t.a.m.t.m.mlrWeight` |
0.52 | 0.5 |