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TCC

Min: 0.0026, max: 0.6727, yellow zone: [0.4000 .. 0.6000].

Elements: 85, μ: 0.1575, σ: 0.1887, Var: 0.0356, defects: 20%.

Packages: 43, classes: 283.

Green: 4, yellow: 13, red: 266.

Class TCC attributes methods NC NDC
c.t.a.m.t.modelconverter.ModelMergeAndConverterTask 0 0 4 6 0
c.t.a.m.t.modelconverter.ModelMergeAndConverterRunner 0 0 1 0 0
c.t.a.m.t.modelconverter.ModelConverterTask 0 0 4 6 0
c.t.a.m.t.modelconverter.ModelConverterRunner 0 0 1 0 0
c.t.a.m.GBDT.psf.H..$HistPartitionAggrParam 0.392857142857142857 5 8 28 11
c.t.a.m.GBDT.psf.HistAggrParam 0 5 1 0 0
c.t.a.m.GBDT.psf.GBDTGradHistGetRowFunc 0 0 2 1 0
c.t.a.m.GBDT.psf.GBDTGradHistGetRowResult 0 1 1 0 0
c.t.a.m.matrixfactorization.MatrixFactorizationRunner 0.035714285714285714 1 8 28 1
c.t.a.m.matrixfactorization.MFTrainTask 0 1 5 10 0
c.t.a.m.matrixfactorization.MFModel 0.014285714285714286 6 21 210 3
c.t.a.m.matrixfactorization.MFLearner 0.002645502645502646 16 28 378 1
c.t.a.m.matrixfactorization.M..$ 0 3 4 6 0
c.t.a.m.o.lossfuncs.H..$ 0 0 1 0 0
c.t.a.m.o.lossfuncs.S..$ 0 0 2 1 0
c.t.a.m.o.lossfuncs.SoftMaxLoss 0 0 0 0 0
c.t.a.m.o.lossfuncs.S..$ 0 0 2 1 0
c.t.a.m.o.lossfuncs.SquareLoss 0 0 0 0 0
c.t.a.m.o.lossfuncs.L..$ 0 1 3 3 0
c.t.a.m.o.lossfuncs.SquareHingeLoss 0 0 0 0 0
c.t.a.m.o.lossfuncs.LogisticLoss 0 0 0 0 0
c.t.a.m.o.lossfuncs.S..$ 0 0 2 1 0
c.t.a.m.o.lossfuncs.H..$ 0 0 1 0 0
c.t.a.m.o.lossfuncs.E..$ 0 0 2 1 0
c.t.a.m.o.lossfuncs.ExpLoss 0 0 0 0 0
c.t.a.m.o.lossfuncs.HingeLoss 0 3 5 10 0
c.t.a.m.o.lossfuncs.HuberLoss 0 1 3 3 0
c.t.a.m.l.psf.PartColumnResult 0.5 2 4 6 3
c.t.a.m.l.psf.GetPartFunc 0 0 2 1 0
c.t.a.m.l.psf.L..$LikelihoodPartParam 0.5 1 4 6 3
c.t.a.m.l.psf.PartCSRResult 0.1 4 5 10 1
c.t.a.m.l.psf.GetColumnFunc 0 0 2 1 0
c.t.a.m.l.psf.UpdatePartFunc 0 0 1 0 0
c.t.a.m.l.psf.LikelihoodParam 0 1 1 0 0
c.t.a.m.l.psf.ColumnGetResult 0 1 0 0 0
c.t.a.m.l.psf.CSRPartUpdateParam 0.333333333333333333 2 3 3 1
c.t.a.m.l.psf.LikelihoodFunc 0 0 3 3 0
c.t.a.m.o.admm.ADMM 0 0 0 0 0
c.t.a.m.conf.MLConf 0 0 0 0 0
c.t.a.m.conf.M..$ 0 152 152 11476 0
c.t.a.m.l.a.structures.S2BTightTraverseMap 0.424242424242424242 1 12 66 28
c.t.a.m.l.a.structures.S2BTraverseMap 0.409090909090909091 4 12 66 27
c.t.a.m.l.a.structures.S2STightTraverseMap 0.424242424242424242 1 12 66 28
c.t.a.m.l.a.structures.S2ITraverseMap 0.409090909090909091 4 12 66 27
c.t.a.m.l.a.structures.S2STraverseMap 0.409090909090909091 4 12 66 27
c.t.a.m.l.a.structures.TraverseHashMap 0.333333333333333333 4 3 3 1
c.t.a.m.l.a.structures.FTree 1 3 7 21 21
c.t.a.m.param.TreeParam 0 11 1 0 0
c.t.a.m.param.RegTParam 0.285714285714285714 21 7 21 6
c.t.a.m.param.GBDTParam 1 15 2 1 1
c.t.a.m.m.threads.UserVec 0.029239766081871345 6 19 171 5
c.t.a.m.m.threads.SgdTask 0.064102564102564103 5 13 78 5
c.t.a.m.m.threads.PEvaluateTask 0.05 7 16 120 6
c.t.a.m.m.threads.PSgdTask 0.042105263157894737 9 20 190 8
c.t.a.m.m.threads.EvaluateTask 0.057142857142857143 6 15 105 6
c.t.a.m.m.threads.Utils 0 0 0 0 0
c.t.a.m.m.threads.ItemVec 0.083333333333333333 3 9 36 3
c.t.a.m.m.threads.PWriteUserTask 0 5 3 3 0
c.t.a.m.m.threads.U..$ 0 1 14 91 0
c.t.a.m.factorizationmachines.F..$ 0 0 5 10 0
c.t.a.m.factorizationmachines.FMPredictResult 0 3 15 105 0
c.t.a.m.factorizationmachines.F..$ 0 0 4 6 0
c.t.a.m.factorizationmachines.FMModel 0 13 16 120 0
c.t.a.m.factorizationmachines.FMRunner 0 0 6 15 0
c.t.a.m.factorizationmachines.FMTrainTask 0.030303030303030303 6 12 66 2
c.t.a.m.factorizationmachines.FMPredictTask 0 1 4 6 0
c.t.a.m.factorizationmachines.FMLearner 0 14 22 231 0
c.t.a.m.sketchML.Int2IntHash 0 1 0 0 0
c.t.a.m.sketchML.YahooSketch 0.422222222222222222 4 10 45 19
c.t.a.m.sketchML.BJHash 0 0 1 0 0
c.t.a.m.sketchML.Mix64Hash 0 0 1 0 0
c.t.a.m.sketchML.MulHash 0 1 1 0 0
c.t.a.m.sketchML.TWHash 0 0 1 0 0
c.t.a.m.sketchML.CMSketch 0.380952380952380952 3 7 21 8
c.t.a.m.sketchML.AvgQSketch 0.5 3 9 36 18
c.t.a.m.optimizer2.OptModel 0 4 11 55 0
c.t.a.m.optimizer2.OptMethods 0 0 0 0 0
c.t.a.m.optimizer2.O..$ 0 6 6 15 0
c.t.a.m.optimizer2.Optimizer 0.05 8 16 120 6
c.t.a.m.task.PredictTask 0 2 4 6 0
c.t.a.m.task.TrainTask 0 1 2 1 0
c.t.a.m.c.lr.LRPredictResult 0 4 2 1 0
c.t.a.m.c.lr.LRModel 0 7 13 78 0
c.t.a.m.c.lr.L..$ 0 0 3 3 0
c.t.a.m.c.lr.LRPredictTask 0 0 3 3 0
c.t.a.m.c.lr.LRRunner 0 1 7 21 0
c.t.a.m.c.lr.LRTrainTask 0.014705882352941176 9 17 136 2
c.t.a.m.c.lr.LRLearner 0 14 19 171 0
c.t.a.m.c.fm.FMRunner 0 1 7 21 0
c.t.a.m.c.fm.F..$ 0 0 3 3 0
c.t.a.m.c.fm.LRPredictResult 0 4 2 1 0
c.t.a.m.c.fm.FMPredictTask 0 0 3 3 0
c.t.a.m.c.fm.FMModel 0 10 18 153 0
c.t.a.m.c.fm.FMTrainTask 0.014705882352941176 9 17 136 2
c.t.a.m.c.fm.FMLearner 0 16 21 210 0
c.t.a.m.o.u.oputils.DefaultBinary 0.033333333333333333 4 16 120 4
c.t.a.m.o.u.oputils.DefaultUnary 0.033333333333333333 4 16 120 4
c.t.a.m.o.u.oputils.AdaDeltaExpr 0.032679738562091503 5 18 153 5
c.t.a.m.o.u.oputils.T..$ 0 5 5 10 0
c.t.a.m.o.u.oputils.NullBinary 0.032967032967032967 3 14 91 3
c.t.a.m.o.u.oputils.E..$class 0 0 0 0 0
c.t.a.m.o.u.oputils.TOperation 0 0 0 0 0
c.t.a.m.o.u.oputils.NullTernary 0.032967032967032967 3 14 91 3
c.t.a.m.o.u.oputils.RMSPropExpr 0.029411764705882353 5 17 136 4
c.t.a.m.o.u.oputils.NullUnary 0.032967032967032967 3 14 91 3
c.t.a.m.o.u.oputils.DefaultTernary 0.033333333333333333 4 16 120 4
c.t.a.m.o.u.oputils.AdaGradExpr 0.028571428571428571 4 15 105 3
c.t.a.m.o.u.oputils.AdamExpr 0.02536231884057971 10 24 276 7
c.t.a.m.o.u.oputils.ScalarExpr 0.032679738562091503 5 18 153 5
c.t.a.m.GBDT.GBDTLearner 0 3 6 15 0
c.t.a.m.GBDT.GBDTRunner 0.035087719298245614 7 19 171 6
c.t.a.m.GBDT.GBDTPredictResult 0 2 1 0 0
c.t.a.m.GBDT.GBDTPredictTask 0 0 3 3 0
c.t.a.m.GBDT.GBDTTrainTask 0.018181818181818182 6 11 55 1
c.t.a.m.GBDT.GBDTModel 0.006666666666666667 23 25 300 2
c.t.a.m.GBDT.G..$ 0 10 13 78 0
c.t.a.m.metric.LogLossMetric 0 0 3 3 0
c.t.a.m.metric.LogErrorMetric 0 0 3 3 0
c.t.a.m.metric.ErrorEvalMetric 0 0 3 3 0
c.t.a.m.metric.RMSEMetric 0 0 3 3 0
c.t.a.m.metric.MultiErrorMetric 0 0 4 6 0
c.t.a.m.metric.MAEMetric 0 0 3 3 0
c.t.a.m.warplda.S..$ 0 1 1 0 0
c.t.a.m.warplda.LDATrainTask 0 2 6 15 0
c.t.a.m.warplda.L..$ 0 12 13 78 0
c.t.a.m.warplda.LDAInferTask 0 2 10 45 0
c.t.a.m.warplda.AliasTable 0 7 9 36 0
c.t.a.m.warplda.LDAModel 0 16 17 136 0
c.t.a.m.warplda.Sampler 0.017094017094017094 12 27 351 6
c.t.a.m.warplda.Document 0.2 3 6 15 3
c.t.a.m.warplda.WTokens 0.046783625730994152 10 19 171 8
c.t.a.m.warplda.LDATrainer 0.181609195402298851 11 30 435 79
c.t.a.m.warplda.LDARunner 0 1 7 21 0
c.t.a.m.l.algo.CSRTokens 0 9 1 0 0
c.t.a.m.l.algo.Document 0 3 1 0 0
c.t.a.m.l.algo.BinarySearch 0 0 0 0 0
c.t.a.m.l.algo.Sampler 0.581818181818181818 15 11 55 32
c.t.a.m.GBDT.a.tree.TAvgDisSplit 0 0 0 0 0
c.t.a.m.GBDT.a.tree.Tree 0 0 0 0 0
c.t.a.m.GBDT.a.tree.TYahooSketchSplit 0 0 0 0 0
c.t.a.m.GBDT.a.tree.TSplitValueHelper 0 0 0 0 0
c.t.a.m.GBDT.a.tree.TNode 0.090909090909090909 6 12 66 6
c.t.a.m.GBDT.a.tree.SplitEntry 0.672727272727272727 5 11 55 37
c.t.a.m.c.sparselr.SparseLRLearner 0.038095238095238095 5 15 105 4
c.t.a.m.c.sparselr.SparseLRRunner 0 0 6 15 0
c.t.a.m.c.sparselr.SparseLRModel 0 14 16 120 0
c.t.a.m.c.sparselr.S..$ 0 0 1 0 0
c.t.a.m.c.sparselr.SparseLRPredictResult 0 4 2 1 0
c.t.a.m.c.sparselr.SparseLRTrainTask 0 4 7 21 0
c.t.a.m.c.sparselr.SparseLRPredictTask 0 0 3 3 0
c.t.a.m.c.kmeans.KMeansLearner 0 7 15 105 0
c.t.a.m.c.kmeans.KMeansTrainTask 0 4 7 21 0
c.t.a.m.c.kmeans.KMeansRunner 0 0 6 15 0
c.t.a.m.c.kmeans.K..$ 0 2 2 1 0
c.t.a.m.c.kmeans.KMeansResult 0 2 1 0 0
c.t.a.m.c.kmeans.KMeansPredictTask 0 2 5 10 0
c.t.a.m.c.kmeans.K..$ 0 2 3 3 0
c.t.a.m.c.kmeans.KMeansModel 0.012820512820512821 6 13 78 1
c.t.a.m.lda.LDAPredictTask 0.028571428571428571 5 15 105 3
c.t.a.m.lda.LDARunner 0 1 7 21 0
c.t.a.m.lda.L..$ 0 16 17 136 0
c.t.a.m.lda.LDAIncTask 0.054545454545454545 4 11 55 3
c.t.a.m.lda.LDAModel 0.009230769230769231 20 26 325 3
c.t.a.m.lda.LDATrainTask 0.038461538461538462 5 13 78 3
c.t.a.m.lda.LDALearner 0.10160427807486631 13 34 561 57
c.t.a.m.c.mlr.MLRPredictTask 0 0 3 3 0
c.t.a.m.c.mlr.mlrW..$ 0 0 5 10 0
c.t.a.m.c.mlr.MLRPredictResult 0 2 1 0 0
c.t.a.m.c.mlr.MLRModel 0 12 16 120 0
c.t.a.m.c.mlr.mlrWeight 0 4 17 136 0
c.t.a.m.c.mlr.M..$ 0 0 3 3 0
c.t.a.m.c.mlr.MLRLearner 0 11 20 190 0
c.t.a.m.c.mlr.MLRTrainTask 0.018181818181818182 6 11 55 1
c.t.a.m.c.mlr.MLRRunner 0 1 7 21 0
c.t.a.m.o.sgd.G..$ 0 1 10 45 0
c.t.a.m.o.sgd.GradientDescent 0 0 0 0 0
c.t.a.ml.M..$class 0 0 0 0 0
c.t.a.ml.MLLearner 0 3 3 3 0
c.t.a.m.o.s.loss.L1LogLoss 0 0 6 15 0
c.t.a.m.o.s.loss.L1Loss 0.166666666666666667 1 4 6 1
c.t.a.m.o.s.loss.L2Loss 0.166666666666666667 1 4 6 1
c.t.a.m.o.s.loss.L2HingeLoss 0 0 5 10 0
c.t.a.m.o.s.loss.L2LogLoss 0 0 5 10 0
c.t.a.m.o.s.loss.SquareL2Loss 0 0 3 3 0
c.t.a.m.o.ogd.FTRL 0 0 0 0 0
c.t.a.m.o.ogd.RDA 0 0 0 0 0
c.t.a.m.o.ogd.FOBOS 0 0 0 0 0
c.t.a.m.o.utils.MeasureUtils 0 0 0 0 0
c.t.a.m.o.utils.M..$ 0 0 2 1 0
c.t.a.m.o.utils.OptUtils 0 0 0 0 0
c.t.a.m.o.utils.ExecuteUtils 0 0 0 0 0
c.t.a.m.o.utils.E..$ 0 0 5 10 0
c.t.a.m.o.utils.O..$ 0 0 25 300 0
c.t.a.m.c.svm.SVMPredictResult 0 2 1 0 0
c.t.a.m.c.svm.SVMPredictTask 0 1 4 6 0
c.t.a.m.c.svm.SVMModel 0.047619047619047619 5 7 21 1
c.t.a.m.c.svm.SVMTrainTask 0.022222222222222222 5 10 45 1
c.t.a.m.c.svm.S..$ 0 0 3 3 0
c.t.a.m.c.svm.SVMRunner 0.035714285714285714 1 8 28 1
c.t.a.m.c.svm.SVMLearner 0 10 14 91 0
c.t.a.m.c.ftrllr.FTRLLRRunner 0 0 6 15 0
c.t.a.m.c.ftrllr.FTRLLRModel 0 14 15 105 0
c.t.a.m.c.ftrllr.FTRLLRPredictResult 0 0 0 0 0
c.t.a.m.c.ftrllr.FTRLLRTrainTask 0.018181818181818182 6 11 55 1
c.t.a.m.c.ftrllr.F..$ 0 0 3 3 0
c.t.a.m.c.ftrllr.FTRLLRPredictTask 0 0 3 3 0
c.t.a.m.c.ftrllr.FTRLLRLearner 0 11 15 105 0
c.t.a.m.GBDT.algo.GBDTController 0.593846153846153846 25 26 325 193
c.t.a.m.GBDT.algo.GradHistThread 0 5 1 0 0
c.t.a.m.GBDT.algo.AfterSplitRunner 0 6 1 0 0
c.t.a.m.GBDT.algo.GBDTPhase 0 0 0 0 0
c.t.a.m.GBDT.algo.FeatureMeta 0.333333333333333333 3 4 6 2
c.t.a.m.GBDT.a.RegTree.RegTree 0 4 4 6 0
c.t.a.m.GBDT.a.RegTree.GradStats 0.408333333333333333 3 16 120 49
c.t.a.m.GBDT.a.RegTree.RegTDataStore 0.075 10 16 120 9
c.t.a.m.GBDT.a.RegTree.GradPair 0.333333333333333333 2 4 6 2
c.t.a.m.GBDT.a.RegTree.RegTNodeStat 0.166666666666666667 6 4 6 1
c.t.a.m.GBDT.a.RegTree.GradHistHelper 0.666666666666666667 2 6 15 10
c.t.a.m.o.ftrl.FTRL 0 0 0 0 0
c.t.a.m.o.ftrl.F..$ 0 1 4 6 0
c.t.a.m.r.linear.LinearRegPredictTask 0 1 4 6 0
c.t.a.m.r.linear.LinearRegTrainTask 0.022222222222222222 5 10 45 1
c.t.a.m.r.linear.LinearRegModel 0 3 4 6 0
c.t.a.m.r.linear.LinearRegPredictResult 0 2 1 0 0
c.t.a.m.r.linear.LinearRegRunner 0 0 6 15 0
c.t.a.m.r.linear.L..$ 0 1 2 1 0
c.t.a.m.r.linear.LinearRegLeaner 0 10 14 91 0
c.t.a.m.c.lr.LRPredictResult 0 4 2 1 0
c.t.a.m.c.lr.LRPredictTask 0 0 3 3 0
c.t.a.m.c.lr.LRRunner 0 1 7 21 0
c.t.a.m.c.lr.L..$ 0 0 3 3 0
c.t.a.m.c.lr.LRModel 0 10 11 55 0
c.t.a.m.c.lr.ZipLR 0 1 7 21 0
c.t.a.m.c.lr.LRTrainTask 0.014705882352941176 9 17 136 2
c.t.a.m.c.lr.LRLearner 0 16 22 231 0
c.t.a.m.o.newton.LBFGS 0 0 0 0 0
c.t.a.m.o.newton.OWLQN 0 0 0 0 0
c.t.a.m.objective.SoftmaxMultiClassObj 0.066666666666666667 3 6 15 1
c.t.a.m.objective.Loss 0 0 0 0 0
c.t.a.m.objective.L..$LogisticLoss 0 0 7 21 0
c.t.a.m.objective.L..$DirectLogisticLoss 0 0 4 6 0
c.t.a.m.objective.RegLossObj 0.6 2 5 10 6
c.t.a.m.objective.L..$BinaryLogisticLoss 0 0 1 0 0
c.t.a.m.objective.L..$LinearSquareLoss 0 0 7 21 0
c.t.a.m.o.sgd.R..$ 0 0 2 1 0
c.t.a.m.o.sgd.A..$ 0 0 2 1 0
c.t.a.m.o.sgd.A..$ 0 0 1 0 0
c.t.a.m.o.sgd.M..$ 0 0 2 1 0
c.t.a.m.o.sgd.Momentum 0.095238095238095238 4 7 21 2
c.t.a.m.o.sgd.M..$ 0 0 2 1 0
c.t.a.m.o.sgd.AdaGrad 0.035714285714285714 5 8 28 1
c.t.a.m.o.sgd.RMSprop 0.035714285714285714 5 8 28 1
c.t.a.m.o.sgd.AdaDelta 0.044444444444444444 6 10 45 2
c.t.a.m.o.sgd.A..$ 0 0 2 1 0
c.t.a.m.o.sgd.MiniBatchSGD 0 3 7 21 0
c.t.a.m.o.sgd.Adam 0.055555555555555556 6 9 36 2
c.t.a.m.utils.D..$ 0 0 5 10 0
c.t.a.m.utils.D..$ 0 0 5 10 0
c.t.a.m.utils.DataParser 0 0 0 0 0
c.t.a.m.utils.HDFSUtils 0 0 0 0 0
c.t.a.m.utils.Maths 0 0 0 0 0
c.t.a.m.utils.ReflectionUtils 0 0 0 0 0
c.t.a.m.utils.R..$ 0.166666666666666667 2 4 6 1
c.t.a.m.utils.LibSVMDataParser 0 6 22 231 0
c.t.a.m.utils.D..$ 0 0 1 0 0
c.t.a.m.utils.DenseDataParser 0 6 22 231 0
c.t.a.m.utils.H..$ 0 1 2 1 0
c.t.a.m.utils.DummyDataParser 0 6 22 231 0
c.t.a.m.utils.L..$ 0 0 5 10 0
c.t.a.m.utils.ValidationUtils 0 0 0 0 0
c.t.a.m.o.admm.A..$C..$G..$ 0 1 4 6 0
c.t.a.m.o.admm.A..$C..$ 0 0 1 0 0
c.t.a.m.o.admm.L..$ 0 0 1 0 0
c.t.a.m.o.admm.A..$ 0 4 17 136 0
c.t.a.m.o.admm.LogisticGradient 0.333333333333333333 1 3 3 1
c.t.a.m.o.admm.A..$LocalIndex 0 3 15 105 0
c.t.a.m.o.admm.ADMM 0.039215686274509804 6 18 153 6
c.t.a.m.o.admm.A..$C..$GradientAndLoss 0.015789473684210526 4 20 190 3
c.t.a.m.o.admm.A..$LocalModel 0.010989010989010989 2 14 91 1
c.t.a.m.o.admm.A..$L..$ 0 0 5 10 0
c.t.a.m.o.admm.A..$L..$ 0 0 5 10 0
c.t.a.m.o.admm.A..$C..$CalThread 0 4 2 1 0
c.t.a.m.o.admm.A..$CostFun 0.003322259136212625 9 43 903 3

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