logo

Back to index

LCOM3

Min: 0.2917, max: 1.8667, yellow zone: [0.4000 .. 0.6000].

Elements: 183, μ: 0.9534, σ: 0.2155, Var: 0.0464, defects: 19%.

Packages: 43, classes: 283.

Green: 181, yellow: 6, red: 96.

Class LCOM3 methods attributes
c.t.a.m.t.modelconverter.ModelConverterTask 1 4 1
c.t.a.m.t.modelconverter.ModelConverterRunner 0 1 0
c.t.a.m.t.modelconverter.ModelMergeAndConverterTask 1 4 1
c.t.a.m.t.modelconverter.ModelMergeAndConverterRunner 0 1 0
c.t.a.m.GBDT.psf.GBDTGradHistGetRowResult 0 1 1
c.t.a.m.GBDT.psf.HistAggrParam 0 1 5
c.t.a.m.GBDT.psf.H..$HistPartitionAggrParam 0.7143 8 5
c.t.a.m.GBDT.psf.GBDTGradHistGetRowFunc 0 2 1
c.t.a.m.o.lossfuncs.E..$ 2 2 1
c.t.a.m.o.lossfuncs.SquareHingeLoss 0 0 0
c.t.a.m.o.lossfuncs.SoftMaxLoss 0 0 0
c.t.a.m.o.lossfuncs.ExpLoss 0 0 0
c.t.a.m.o.lossfuncs.H..$ 0 1 1
c.t.a.m.o.lossfuncs.L..$ 1.25 3 2
c.t.a.m.o.lossfuncs.HingeLoss 1 5 3
c.t.a.m.o.lossfuncs.HuberLoss 1 3 1
c.t.a.m.o.lossfuncs.S..$ 2 2 1
c.t.a.m.o.lossfuncs.H..$ 0 1 1
c.t.a.m.o.lossfuncs.SquareLoss 0 0 0
c.t.a.m.o.lossfuncs.LogisticLoss 0 0 0
c.t.a.m.o.lossfuncs.S..$ 2 2 1
c.t.a.m.o.lossfuncs.S..$ 0 2 1
c.t.a.m.l.psf.ColumnGetResult 0 0 1
c.t.a.m.l.psf.PartColumnResult 0.8333 4 2
c.t.a.m.l.psf.GetColumnFunc 1 2 1
c.t.a.m.l.psf.LikelihoodParam 0 1 1
c.t.a.m.l.psf.UpdatePartFunc 0 1 1
c.t.a.m.l.psf.L..$LikelihoodPartParam 0.3333 4 1
c.t.a.m.l.psf.CSRPartUpdateParam 1 3 3
c.t.a.m.l.psf.LikelihoodFunc 1.5 3 1
c.t.a.m.l.psf.PartCSRResult 0.9 5 5
c.t.a.m.l.psf.GetPartFunc 2 2 1
c.t.a.m.matrixfactorization.MatrixFactorizationRunner 0.8571 8 1
c.t.a.m.matrixfactorization.M..$ 1.0833 4 4
c.t.a.m.matrixfactorization.MFTrainTask 1 5 1
c.t.a.m.matrixfactorization.MFModel 0.975 21 6
c.t.a.m.matrixfactorization.MFLearner 0.9977 28 16
c.t.a.m.o.admm.ADMM 0 0 0
c.t.a.m.conf.MLConf 0 0 0
c.t.a.m.conf.M..$ 1 152 153
c.t.a.m.l.a.structures.S2BTraverseMap 0.5455 12 4
c.t.a.m.l.a.structures.FTree 0.3889 7 3
c.t.a.m.l.a.structures.S2STraverseMap 0.5455 12 4
c.t.a.m.l.a.structures.TraverseHashMap 1.0192 14 4
c.t.a.m.l.a.structures.S2STightTraverseMap 0.3636 12 1
c.t.a.m.l.a.structures.S2ITraverseMap 0.5455 12 4
c.t.a.m.l.a.structures.S2BTightTraverseMap 0.3636 12 1
c.t.a.m.param.TreeParam 0 1 12
c.t.a.m.param.GBDTParam 1.8667 2 15
c.t.a.m.param.RegTParam 1.0227 7 22
c.t.a.m.factorizationmachines.FMRunner 0 6 0
c.t.a.m.factorizationmachines.F..$ 0.75 5 1
c.t.a.m.factorizationmachines.FMPredictResult 1 15 3
c.t.a.m.factorizationmachines.F..$ 1.3333 4 1
c.t.a.m.factorizationmachines.FMPredictTask 1 4 1
c.t.a.m.factorizationmachines.FMModel 1 16 13
c.t.a.m.factorizationmachines.FMTrainTask 0.9697 12 6
c.t.a.m.factorizationmachines.FMLearner 1 22 14
c.t.a.m.m.threads.ItemVec 0.875 9 3
c.t.a.m.m.threads.SgdTask 0.9167 13 5
c.t.a.m.m.threads.UserVec 0.9537 19 6
c.t.a.m.m.threads.Utils 0 0 0
c.t.a.m.m.threads.EvaluateTask 0.9286 15 6
c.t.a.m.m.threads.PWriteUserTask 1 3 5
c.t.a.m.m.threads.U..$ 0.6923 14 2
c.t.a.m.m.threads.PSgdTask 0.9532 20 9
c.t.a.m.m.threads.PEvaluateTask 0.9429 16 7
c.t.a.m.sketchML.Mix64Hash 0 1 0
c.t.a.m.sketchML.Int2IntHash 0 1 1
c.t.a.m.sketchML.MulHash 0 1 1
c.t.a.m.sketchML.AvgQSketch 0.6667 9 3
c.t.a.m.sketchML.BJHash 0 1 0
c.t.a.m.sketchML.TWHash 0 1 0
c.t.a.m.sketchML.YahooSketch 0.75 10 4
c.t.a.m.sketchML.CMSketch 0.6667 7 3
c.t.a.m.optimizer2.OptModel 1 16 4
c.t.a.m.optimizer2.Optimizer 0.9559 18 8
c.t.a.m.optimizer2.OptMethods 0 0 0
c.t.a.m.optimizer2.O..$ 1.0286 6 7
c.t.a.m.task.PredictTask 1 5 2
c.t.a.m.task.TrainTask 1 3 1
c.t.a.m.c.lr.L..$ 1.5 3 1
c.t.a.m.c.lr.LRPredictResult 1 2 4
c.t.a.m.c.lr.LRRunner 1 7 1
c.t.a.m.c.lr.LRModel 1.0119 13 7
c.t.a.m.c.lr.LRTrainTask 0.9861 17 9
c.t.a.m.c.lr.LRLearner 1 19 14
c.t.a.m.c.lr.LRPredictTask 0 3 0
c.t.a.m.c.fm.FMPredictTask 0 3 0
c.t.a.m.c.fm.LRPredictResult 1 2 4
c.t.a.m.c.fm.FMModel 1.0059 18 10
c.t.a.m.c.fm.FMLearner 1 21 16
c.t.a.m.c.fm.F..$ 1.5 3 1
c.t.a.m.c.fm.FMRunner 1 7 1
c.t.a.m.c.fm.FMTrainTask 0.9861 17 9
c.t.a.m.o.u.oputils.E..$class 0 0 0
c.t.a.m.o.u.oputils.NullBinary 0.9231 14 3
c.t.a.m.o.u.oputils.NullTernary 0.9231 14 3
c.t.a.m.o.u.oputils.ScalarExpr 0.9412 18 5
c.t.a.m.o.u.oputils.RMSPropExpr 0.95 17 5
c.t.a.m.o.u.oputils.DefaultTernary 0.9333 16 4
c.t.a.m.o.u.oputils.AdaGradExpr 0.9464 15 4
c.t.a.m.o.u.oputils.AdaDeltaExpr 0.9412 18 5
c.t.a.m.o.u.oputils.TOperation 0 0 0
c.t.a.m.o.u.oputils.AdamExpr 0.9739 24 10
c.t.a.m.o.u.oputils.T..$ 1.0417 5 6
c.t.a.m.o.u.oputils.DefaultUnary 0.9333 16 4
c.t.a.m.o.u.oputils.DefaultBinary 0.9333 16 4
c.t.a.m.o.u.oputils.NullUnary 0.9231 14 3
c.t.a.m.metric.MAEMetric 0 3 0
c.t.a.m.metric.ErrorEvalMetric 1 3 1
c.t.a.m.metric.RMSEMetric 0 3 0
c.t.a.m.metric.MultiErrorMetric 0 4 0
c.t.a.m.metric.LogErrorMetric 0 3 0
c.t.a.m.metric.LogLossMetric 0 3 0
c.t.a.m.GBDT.GBDTPredictTask 0 3 0
c.t.a.m.GBDT.GBDTTrainTask 0.9833 11 6
c.t.a.m.GBDT.GBDTRunner 0.9524 19 7
c.t.a.m.GBDT.G..$ 1.0076 13 11
c.t.a.m.GBDT.GBDTLearner 1 6 3
c.t.a.m.GBDT.GBDTPredictResult 0 1 2
c.t.a.m.GBDT.GBDTModel 0.9964 25 23
c.t.a.m.warplda.LDATrainTask 1 6 2
c.t.a.m.warplda.Document 0.8 6 3
c.t.a.m.warplda.S..$ 0 1 2
c.t.a.m.warplda.LDAInferTask 1 10 2
c.t.a.m.warplda.L..$ 1.0064 13 13
c.t.a.m.warplda.AliasTable 1 9 7
c.t.a.m.warplda.LDAModel 1 17 16
c.t.a.m.warplda.LDARunner 1 7 1
c.t.a.m.warplda.WTokens 0.9556 19 10
c.t.a.m.warplda.LDATrainer 0.9592 30 11
c.t.a.m.warplda.Sampler 0.9808 27 12
c.t.a.m.l.algo.BinarySearch 0 0 0
c.t.a.m.l.algo.CSRTokens 0 1 9
c.t.a.m.l.algo.Sampler 0.8188 11 16
c.t.a.m.l.algo.Document 0 1 3
c.t.a.m.GBDT.a.tree.TSplitValueHelper 0 0 0
c.t.a.m.GBDT.a.tree.TNode 0.9091 12 6
c.t.a.m.GBDT.a.tree.Tree 0 0 0
c.t.a.m.GBDT.a.tree.TYahooSketchSplit 0 0 0
c.t.a.m.GBDT.a.tree.SplitEntry 0.7667 11 6
c.t.a.m.GBDT.a.tree.TAvgDisSplit 0 0 0
c.t.a.m.c.sparselr.SparseLRPredictTask 0 3 0
c.t.a.m.c.sparselr.SparseLRPredictResult 1 2 4
c.t.a.m.c.sparselr.S..$ 0 1 1
c.t.a.m.c.sparselr.SparseLRLearner 0.9429 15 5
c.t.a.m.c.sparselr.SparseLRRunner 0 6 0
c.t.a.m.c.sparselr.SparseLRTrainTask 1 7 4
c.t.a.m.c.sparselr.SparseLRModel 1 16 14
c.t.a.m.c.kmeans.K..$ 1.1667 3 3
c.t.a.m.c.kmeans.KMeansResult 0 1 2
c.t.a.m.c.kmeans.K..$ 1.3333 2 3
c.t.a.m.c.kmeans.KMeansLearner 1 15 7
c.t.a.m.c.kmeans.KMeansModel 0.9861 13 6
c.t.a.m.c.kmeans.KMeansTrainTask 1 7 4
c.t.a.m.c.kmeans.KMeansRunner 0 6 0
c.t.a.m.c.kmeans.KMeansPredictTask 1 5 2
c.t.a.m.lda.LDAIncTask 0.925 11 4
c.t.a.m.lda.L..$ 1.0037 17 17
c.t.a.m.lda.LDAPredictTask 0.9571 15 5
c.t.a.m.lda.LDATrainTask 0.95 13 5
c.t.a.m.lda.LDAModel 0.994 26 20
c.t.a.m.lda.LDARunner 1 7 1
c.t.a.m.lda.LDALearner 0.972 34 13
c.t.a.m.c.mlr.mlrW..$ 0.75 5 1
c.t.a.m.c.mlr.M..$ 1.5 3 1
c.t.a.m.c.mlr.MLRPredictResult 0 1 2
c.t.a.m.c.mlr.MLRRunner 1 7 1
c.t.a.m.c.mlr.MLRPredictTask 0 3 0
c.t.a.m.c.mlr.MLRTrainTask 0.9833 11 6
c.t.a.m.c.mlr.mlrWeight 1 17 4
c.t.a.m.c.mlr.MLRModel 1 16 12
c.t.a.m.c.mlr.MLRLearner 1 20 11
c.t.a.m.o.sgd.GradientDescent 0 0 0
c.t.a.m.o.sgd.G..$ 0.6667 10 2
c.t.a.ml.M..$class 0 0 0
c.t.a.ml.MLLearner 1 4 3
c.t.a.m.o.s.loss.L1Loss 0.6667 4 1
c.t.a.m.o.s.loss.L2Loss 0.6667 4 1
c.t.a.m.o.s.loss.L2LogLoss 0 5 0
c.t.a.m.o.s.loss.L1LogLoss 0 6 0
c.t.a.m.o.s.loss.L2HingeLoss 1.25 5 1
c.t.a.m.o.s.loss.SquareL2Loss 1.5 3 1
c.t.a.m.o.utils.ExecuteUtils 0 0 0
c.t.a.m.o.utils.E..$ 0 5 1
c.t.a.m.o.utils.OptUtils 0 0 0
c.t.a.m.o.utils.O..$ 0.2917 25 1
c.t.a.m.o.utils.M..$ 0 2 1
c.t.a.m.o.utils.MeasureUtils 0 0 0
c.t.a.m.o.ogd.FTRL 0 0 0
c.t.a.m.o.ogd.FOBOS 0 0 0
c.t.a.m.o.ogd.RDA 0 0 0
c.t.a.m.c.svm.SVMPredictResult 0 1 2
c.t.a.m.c.svm.SVMModel 0.9667 7 5
c.t.a.m.c.svm.S..$ 1.5 3 1
c.t.a.m.c.svm.SVMPredictTask 1 4 1
c.t.a.m.c.svm.SVMTrainTask 0.9778 10 5
c.t.a.m.c.svm.SVMRunner 0.8571 8 1
c.t.a.m.c.svm.SVMLearner 1 14 10
c.t.a.m.c.ftrllr.FTRLLRLearner 1 15 11
c.t.a.m.c.ftrllr.FTRLLRPredictTask 0 3 0
c.t.a.m.c.ftrllr.F..$ 1.5 3 1
c.t.a.m.c.ftrllr.FTRLLRPredictResult 0 0 0
c.t.a.m.c.ftrllr.FTRLLRRunner 0 6 0
c.t.a.m.c.ftrllr.FTRLLRModel 1 15 14
c.t.a.m.c.ftrllr.FTRLLRTrainTask 0.9833 11 6
c.t.a.m.GBDT.algo.GBDTPhase 0 0 7
c.t.a.m.GBDT.algo.AfterSplitRunner 0 1 7
c.t.a.m.GBDT.algo.FeatureMeta 0.8333 4 4
c.t.a.m.GBDT.algo.GradHistThread 0 1 6
c.t.a.m.GBDT.algo.GBDTController 0.8207 26 27
c.t.a.m.GBDT.a.RegTree.RegTDataStore 0.9758 16 11
c.t.a.m.GBDT.a.RegTree.GradStats 0.6889 16 3
c.t.a.m.GBDT.a.RegTree.RegTNodeStat 0.7778 4 6
c.t.a.m.GBDT.a.RegTree.RegTree 1.1333 4 5
c.t.a.m.GBDT.a.RegTree.GradPair 0.6667 4 2
c.t.a.m.GBDT.a.RegTree.GradHistHelper 0.5 6 4
c.t.a.m.o.ftrl.FTRL 0 0 0
c.t.a.m.o.ftrl.F..$ 0.6667 4 2
c.t.a.m.c.lr.LRRunner 1 7 1
c.t.a.m.c.lr.ZipLR 1 7 1
c.t.a.m.c.lr.LRPredictTask 0 3 0
c.t.a.m.c.lr.LRPredictResult 1 2 4
c.t.a.m.c.lr.L..$ 1.5 3 1
c.t.a.m.c.lr.LRLearner 1 22 16
c.t.a.m.c.lr.LRTrainTask 0.9861 17 9
c.t.a.m.c.lr.LRModel 1 11 10
c.t.a.m.r.linear.LinearRegPredictTask 1 4 1
c.t.a.m.r.linear.L..$ 1.5 2 2
c.t.a.m.r.linear.LinearRegModel 1 4 3
c.t.a.m.r.linear.LinearRegRunner 0 6 0
c.t.a.m.r.linear.LinearRegTrainTask 0.9778 10 5
c.t.a.m.r.linear.LinearRegLeaner 1 14 10
c.t.a.m.r.linear.LinearRegPredictResult 0 1 2
c.t.a.m.o.newton.LBFGS 0 0 0
c.t.a.m.o.newton.OWLQN 0 0 0
c.t.a.m.objective.Loss 0 0 0
c.t.a.m.objective.L..$DirectLogisticLoss 0 4 0
c.t.a.m.objective.L..$LogisticLoss 1 7 1
c.t.a.m.objective.L..$BinaryLogisticLoss 0 1 0
c.t.a.m.objective.L..$LinearSquareLoss 0 7 0
c.t.a.m.objective.RegLossObj 0.8125 5 4
c.t.a.m.objective.SoftmaxMultiClassObj 1 6 5
c.t.a.m.utils.D..$ 0 1 1
c.t.a.m.utils.ReflectionUtils 0 0 0
c.t.a.m.utils.HDFSUtils 0 0 0
c.t.a.m.utils.Maths 0 0 0
c.t.a.m.utils.DataParser 0 1 0
c.t.a.m.utils.ValidationUtils 0 0 2
c.t.a.m.utils.L..$ 0.75 5 1
c.t.a.m.utils.D..$ 0.75 5 1
c.t.a.m.utils.LibSVMDataParser 1 22 6
c.t.a.m.utils.H..$ 1 2 2
c.t.a.m.utils.DummyDataParser 1 22 6
c.t.a.m.utils.R..$ 0.5556 4 3
c.t.a.m.utils.DenseDataParser 1 22 6
c.t.a.m.utils.D..$ 0.75 5 1
c.t.a.m.o.sgd.A..$ 2 2 1
c.t.a.m.o.sgd.A..$ 2 2 1
c.t.a.m.o.sgd.RMSprop 0.9714 8 5
c.t.a.m.o.sgd.AdaGrad 0.9714 8 5
c.t.a.m.o.sgd.Momentum 0.9167 7 4
c.t.a.m.o.sgd.MiniBatchSGD 1 7 3
c.t.a.m.o.sgd.AdaDelta 0.963 10 6
c.t.a.m.o.sgd.M..$ 2 2 1
c.t.a.m.o.sgd.M..$ 2 2 1
c.t.a.m.o.sgd.Adam 0.9583 9 6
c.t.a.m.o.sgd.R..$ 2 2 1
c.t.a.m.o.sgd.A..$ 0 1 1
c.t.a.m.o.admm.L..$ 0 1 1
c.t.a.m.o.admm.A..$C..$ 0 1 1
c.t.a.m.o.admm.A..$C..$CalThread 1 2 4
c.t.a.m.o.admm.A..$LocalModel 0.9615 14 2
c.t.a.m.o.admm.A..$L..$ 0.75 5 1
c.t.a.m.o.admm.A..$L..$ 0.75 5 1
c.t.a.m.o.admm.LogisticGradient 0.5 3 1
c.t.a.m.o.admm.A..$LocalIndex 1 15 3
c.t.a.m.o.admm.ADMM 0.9412 18 6
c.t.a.m.o.admm.A..$ 0.9125 17 5
c.t.a.m.o.admm.A..$CostFun 1 43 9
c.t.a.m.o.admm.A..$C..$G..$ 1 4 1
c.t.a.m.o.admm.A..$C..$GradientAndLoss 0.9605 20 4

Download XML.