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NHD

Min: 0.2500, max: 0.9200, yellow zone: [0.4000 .. 0.6000].

Elements: 187, μ: 0.6226, σ: 0.1797, Var: 0.0323, defects: 40%.

Packages: 43, classes: 283.

Green: 186, yellow: 65, red: 32.

Class NHD k l
c.t.a.m.t.modelconverter.ModelConverterTask 0.4444 4 3
c.t.a.m.t.modelconverter.ModelConverterRunner NaN 1 1
c.t.a.m.t.modelconverter.ModelMergeAndConverterTask 0.4444 4 3
c.t.a.m.t.modelconverter.ModelMergeAndConverterRunner NaN 1 1
c.t.a.m.GBDT.psf.GBDTGradHistGetRowResult NaN 1 0
c.t.a.m.GBDT.psf.HistAggrParam NaN 1 0
c.t.a.m.GBDT.psf.H..$HistPartitionAggrParam 0.5714 8 1
c.t.a.m.GBDT.psf.GBDTGradHistGetRowFunc 0 2 2
c.t.a.m.o.lossfuncs.E..$ 1 2 1
c.t.a.m.o.lossfuncs.SquareHingeLoss NaN 0 0
c.t.a.m.o.lossfuncs.SoftMaxLoss NaN 0 0
c.t.a.m.o.lossfuncs.ExpLoss NaN 0 0
c.t.a.m.o.lossfuncs.H..$ NaN 1 0
c.t.a.m.o.lossfuncs.L..$ 0.3333 3 1
c.t.a.m.o.lossfuncs.HingeLoss 0.4 5 1
c.t.a.m.o.lossfuncs.HuberLoss 0.3333 3 1
c.t.a.m.o.lossfuncs.S..$ 1 2 1
c.t.a.m.o.lossfuncs.H..$ NaN 1 0
c.t.a.m.o.lossfuncs.SquareLoss NaN 0 0
c.t.a.m.o.lossfuncs.LogisticLoss NaN 0 0
c.t.a.m.o.lossfuncs.S..$ 1 2 1
c.t.a.m.o.lossfuncs.S..$ 1 2 2
c.t.a.m.l.psf.ColumnGetResult NaN 0 0
c.t.a.m.l.psf.PartColumnResult 0.4167 4 2
c.t.a.m.l.psf.GetColumnFunc 0 2 2
c.t.a.m.l.psf.LikelihoodParam NaN 1 0
c.t.a.m.l.psf.UpdatePartFunc NaN 1 1
c.t.a.m.l.psf.L..$LikelihoodPartParam 0.3333 4 1
c.t.a.m.l.psf.CSRPartUpdateParam 0.3333 3 1
c.t.a.m.l.psf.LikelihoodFunc 0.3333 3 5
c.t.a.m.l.psf.PartCSRResult 0.5333 5 3
c.t.a.m.l.psf.GetPartFunc 0 2 2
c.t.a.m.matrixfactorization.MatrixFactorizationRunner 0.6161 8 4
c.t.a.m.matrixfactorization.M..$ NaN 4 0
c.t.a.m.matrixfactorization.MFTrainTask 0.55 5 4
c.t.a.m.matrixfactorization.MFModel 0.8476 21 4
c.t.a.m.matrixfactorization.MFLearner 0.8968 28 4
c.t.a.m.o.admm.ADMM NaN 0 0
c.t.a.m.conf.MLConf NaN 0 0
c.t.a.m.conf.M..$ NaN 152 0
c.t.a.m.l.a.structures.S2BTraverseMap 0.5909 12 3
c.t.a.m.l.a.structures.FTree 0.4286 7 2
c.t.a.m.l.a.structures.S2STraverseMap 0.4848 12 2
c.t.a.m.l.a.structures.TraverseHashMap 0.5165 14 2
c.t.a.m.l.a.structures.S2STightTraverseMap 0.4848 12 2
c.t.a.m.l.a.structures.S2ITraverseMap 0.4621 12 2
c.t.a.m.l.a.structures.S2BTightTraverseMap 0.5909 12 3
c.t.a.m.param.TreeParam NaN 1 0
c.t.a.m.param.GBDTParam NaN 2 0
c.t.a.m.param.RegTParam 0.5238 7 2
c.t.a.m.factorizationmachines.FMRunner 0.6444 6 3
c.t.a.m.factorizationmachines.F..$ 0.6 5 3
c.t.a.m.factorizationmachines.FMPredictResult 0.8286 15 3
c.t.a.m.factorizationmachines.F..$ 0.4167 4 2
c.t.a.m.factorizationmachines.FMPredictTask 0.5 4 4
c.t.a.m.factorizationmachines.FMModel 0.8317 16 5
c.t.a.m.factorizationmachines.FMTrainTask 0.7788 12 5
c.t.a.m.factorizationmachines.FMLearner 0.8175 22 6
c.t.a.m.m.threads.ItemVec 0.5 9 1
c.t.a.m.m.threads.SgdTask 0.7179 13 3
c.t.a.m.m.threads.UserVec 0.6959 19 2
c.t.a.m.m.threads.Utils NaN 0 0
c.t.a.m.m.threads.EvaluateTask 0.781 15 4
c.t.a.m.m.threads.PWriteUserTask NaN 3 0
c.t.a.m.m.threads.U..$ 0.5903 14 7
c.t.a.m.m.threads.PSgdTask 0.8553 20 6
c.t.a.m.m.threads.PEvaluateTask 0.7938 16 4
c.t.a.m.sketchML.Mix64Hash NaN 1 1
c.t.a.m.sketchML.Int2IntHash NaN 1 1
c.t.a.m.sketchML.MulHash NaN 1 1
c.t.a.m.sketchML.AvgQSketch 0.7778 9 3
c.t.a.m.sketchML.BJHash NaN 1 1
c.t.a.m.sketchML.TWHash NaN 1 1
c.t.a.m.sketchML.YahooSketch 0.8 10 3
c.t.a.m.sketchML.CMSketch 0.7143 7 2
c.t.a.m.optimizer2.OptModel 0.6167 16 8
c.t.a.m.optimizer2.Optimizer 0.7933 18 8
c.t.a.m.optimizer2.OptMethods NaN 0 0
c.t.a.m.optimizer2.O..$ NaN 6 0
c.t.a.m.task.PredictTask 0.5333 5 3
c.t.a.m.task.TrainTask 0.3333 3 1
c.t.a.m.c.lr.L..$ 0.3333 3 2
c.t.a.m.c.lr.LRPredictResult NaN 2 0
c.t.a.m.c.lr.LRRunner 0.5873 7 3
c.t.a.m.c.lr.LRModel 0.7821 13 8
c.t.a.m.c.lr.LRTrainTask 0.8254 17 8
c.t.a.m.c.lr.LRLearner 0.7914 19 6
c.t.a.m.c.lr.LRPredictTask 0.3333 3 4
c.t.a.m.c.fm.FMPredictTask 0.3333 3 4
c.t.a.m.c.fm.LRPredictResult NaN 2 0
c.t.a.m.c.fm.FMModel 0.801 18 9
c.t.a.m.c.fm.FMLearner 0.8095 21 6
c.t.a.m.c.fm.F..$ 0.3333 3 2
c.t.a.m.c.fm.FMRunner 0.5873 7 3
c.t.a.m.c.fm.FMTrainTask 0.8254 17 8
c.t.a.m.o.u.oputils.E..$class NaN 0 0
c.t.a.m.o.u.oputils.NullBinary 0.8216 14 13
c.t.a.m.o.u.oputils.NullTernary 0.8216 14 13
c.t.a.m.o.u.oputils.ScalarExpr 0.8634 18 10
c.t.a.m.o.u.oputils.RMSPropExpr 0.8462 17 13
c.t.a.m.o.u.oputils.DefaultTernary 0.8346 16 13
c.t.a.m.o.u.oputils.AdaGradExpr 0.833 15 13
c.t.a.m.o.u.oputils.AdaDeltaExpr 0.8467 18 13
c.t.a.m.o.u.oputils.TOperation NaN 0 0
c.t.a.m.o.u.oputils.AdamExpr 0.8817 24 14
c.t.a.m.o.u.oputils.T..$ NaN 5 0
c.t.a.m.o.u.oputils.DefaultUnary 0.8407 16 9
c.t.a.m.o.u.oputils.DefaultBinary 0.8346 16 13
c.t.a.m.o.u.oputils.NullUnary 0.8327 14 9
c.t.a.m.metric.MAEMetric 0.3333 3 1
c.t.a.m.metric.ErrorEvalMetric 0.3333 3 1
c.t.a.m.metric.RMSEMetric 0.3333 3 1
c.t.a.m.metric.MultiErrorMetric 0.5 4 1
c.t.a.m.metric.LogErrorMetric 0.3333 3 1
c.t.a.m.metric.LogLossMetric 0.3333 3 1
c.t.a.m.GBDT.GBDTPredictTask 0.3333 3 4
c.t.a.m.GBDT.GBDTTrainTask 0.7891 11 5
c.t.a.m.GBDT.GBDTRunner 0.7263 19 5
c.t.a.m.GBDT.G..$ 0.7821 13 2
c.t.a.m.GBDT.GBDTLearner 0.5667 6 2
c.t.a.m.GBDT.GBDTPredictResult NaN 1 0
c.t.a.m.GBDT.GBDTModel 0.92 25 3
c.t.a.m.warplda.LDATrainTask 0.6167 6 4
c.t.a.m.warplda.Document 0.4 6 1
c.t.a.m.warplda.S..$ NaN 1 0
c.t.a.m.warplda.LDAInferTask 0.7778 10 7
c.t.a.m.warplda.L..$ NaN 13 0
c.t.a.m.warplda.AliasTable NaN 9 0
c.t.a.m.warplda.LDAModel 0.8824 17 1
c.t.a.m.warplda.LDARunner 0.5873 7 3
c.t.a.m.warplda.WTokens 0.6842 19 2
c.t.a.m.warplda.LDATrainer 0.8644 30 5
c.t.a.m.warplda.Sampler 0.8323 27 7
c.t.a.m.l.algo.BinarySearch NaN 0 0
c.t.a.m.l.algo.CSRTokens NaN 1 2
c.t.a.m.l.algo.Sampler 0.7455 11 7
c.t.a.m.l.algo.Document NaN 1 0
c.t.a.m.GBDT.a.tree.TSplitValueHelper NaN 0 0
c.t.a.m.GBDT.a.tree.TNode 0.6742 12 2
c.t.a.m.GBDT.a.tree.Tree NaN 0 0
c.t.a.m.GBDT.a.tree.TYahooSketchSplit NaN 0 0
c.t.a.m.GBDT.a.tree.SplitEntry 0.6455 11 4
c.t.a.m.GBDT.a.tree.TAvgDisSplit NaN 0 0
c.t.a.m.c.sparselr.SparseLRPredictTask 0.3333 3 4
c.t.a.m.c.sparselr.SparseLRPredictResult NaN 2 0
c.t.a.m.c.sparselr.S..$ NaN 1 0
c.t.a.m.c.sparselr.SparseLRLearner 0.6381 15 3
c.t.a.m.c.sparselr.SparseLRRunner 0.6444 6 3
c.t.a.m.c.sparselr.SparseLRTrainTask 0.7143 7 4
c.t.a.m.c.sparselr.SparseLRModel 0.875 16 1
c.t.a.m.c.kmeans.K..$ NaN 3 0
c.t.a.m.c.kmeans.KMeansResult NaN 1 0
c.t.a.m.c.kmeans.K..$ NaN 2 0
c.t.a.m.c.kmeans.KMeansLearner 0.6698 15 3
c.t.a.m.c.kmeans.KMeansModel 0.7821 13 4
c.t.a.m.c.kmeans.KMeansTrainTask 0.7143 7 4
c.t.a.m.c.kmeans.KMeansRunner 0.6444 6 3
c.t.a.m.c.kmeans.KMeansPredictTask 0.6 5 4
c.t.a.m.lda.LDAIncTask 0.7697 11 6
c.t.a.m.lda.L..$ NaN 17 0
c.t.a.m.lda.LDAPredictTask 0.8381 15 8
c.t.a.m.lda.LDATrainTask 0.8095 13 7
c.t.a.m.lda.LDAModel 0.9054 26 4
c.t.a.m.lda.LDARunner 0.5873 7 3
c.t.a.m.lda.LDALearner 0.8681 34 5
c.t.a.m.c.mlr.mlrW..$ 0.6 5 4
c.t.a.m.c.mlr.M..$ 0.3333 3 2
c.t.a.m.c.mlr.MLRPredictResult NaN 1 0
c.t.a.m.c.mlr.MLRRunner 0.5873 7 3
c.t.a.m.c.mlr.MLRPredictTask 0.3333 3 4
c.t.a.m.c.mlr.MLRTrainTask 0.7891 11 5
c.t.a.m.c.mlr.mlrWeight 0.8566 17 4
c.t.a.m.c.mlr.MLRModel 0.875 16 2
c.t.a.m.c.mlr.MLRLearner 0.7408 20 4
c.t.a.m.o.sgd.GradientDescent NaN 0 0
c.t.a.m.o.sgd.G..$ 0.5737 10 11
c.t.a.ml.M..$class NaN 0 0
c.t.a.ml.MLLearner 0.5 4 1
c.t.a.m.o.s.loss.L1Loss 0.5 4 1
c.t.a.m.o.s.loss.L2Loss 0.5 4 1
c.t.a.m.o.s.loss.L2LogLoss 0.48 5 5
c.t.a.m.o.s.loss.L1LogLoss 0.5067 6 5
c.t.a.m.o.s.loss.L2HingeLoss 0.52 5 5
c.t.a.m.o.s.loss.SquareL2Loss 0.3333 3 3
c.t.a.m.o.utils.ExecuteUtils NaN 0 0
c.t.a.m.o.utils.E..$ 0.6333 5 6
c.t.a.m.o.utils.OptUtils NaN 0 0
c.t.a.m.o.utils.O..$ 0.7604 25 15
c.t.a.m.o.utils.M..$ 0.25 2 4
c.t.a.m.o.utils.MeasureUtils NaN 0 0
c.t.a.m.o.ogd.FTRL NaN 0 0
c.t.a.m.o.ogd.FOBOS NaN 0 0
c.t.a.m.o.ogd.RDA NaN 0 0
c.t.a.m.c.svm.SVMPredictResult NaN 1 0
c.t.a.m.c.svm.SVMModel 0.7143 7 2
c.t.a.m.c.svm.S..$ 0.3333 3 2
c.t.a.m.c.svm.SVMPredictTask 0.5 4 4
c.t.a.m.c.svm.SVMTrainTask 0.7689 10 5
c.t.a.m.c.svm.SVMRunner 0.6161 8 4
c.t.a.m.c.svm.SVMLearner 0.7436 14 3
c.t.a.m.c.ftrllr.FTRLLRLearner 0.7968 15 3
c.t.a.m.c.ftrllr.FTRLLRPredictTask 0.3333 3 4
c.t.a.m.c.ftrllr.F..$ 0.3333 3 2
c.t.a.m.c.ftrllr.FTRLLRPredictResult NaN 0 0
c.t.a.m.c.ftrllr.FTRLLRRunner 0.6444 6 3
c.t.a.m.c.ftrllr.FTRLLRModel 0.8667 15 1
c.t.a.m.c.ftrllr.FTRLLRTrainTask 0.7891 11 5
c.t.a.m.GBDT.algo.GBDTPhase NaN 0 0
c.t.a.m.GBDT.algo.AfterSplitRunner NaN 1 0
c.t.a.m.GBDT.algo.FeatureMeta 0.5 4 2
c.t.a.m.GBDT.algo.GradHistThread NaN 1 0
c.t.a.m.GBDT.algo.GBDTController 0.8777 26 8
c.t.a.m.GBDT.a.RegTree.RegTDataStore 0.675 16 4
c.t.a.m.GBDT.a.RegTree.GradStats 0.7679 16 7
c.t.a.m.GBDT.a.RegTree.RegTNodeStat 0.4444 4 3
c.t.a.m.GBDT.a.RegTree.RegTree 0.3333 4 2
c.t.a.m.GBDT.a.RegTree.GradPair 0.3333 4 1
c.t.a.m.GBDT.a.RegTree.GradHistHelper 0.5778 6 3
c.t.a.m.o.ftrl.FTRL NaN 0 0
c.t.a.m.o.ftrl.F..$ 0.4762 4 7
c.t.a.m.c.lr.LRRunner 0.5873 7 3
c.t.a.m.c.lr.ZipLR 0.5873 7 3
c.t.a.m.c.lr.LRPredictTask 0.3333 3 4
c.t.a.m.c.lr.LRPredictResult NaN 2 0
c.t.a.m.c.lr.L..$ 0.3333 3 2
c.t.a.m.c.lr.LRLearner 0.8083 22 7
c.t.a.m.c.lr.LRTrainTask 0.8254 17 8
c.t.a.m.c.lr.LRModel 0.8182 11 2
c.t.a.m.r.linear.LinearRegPredictTask 0.5 4 4
c.t.a.m.r.linear.L..$ NaN 2 0
c.t.a.m.r.linear.LinearRegModel 0.5 4 1
c.t.a.m.r.linear.LinearRegRunner 0.6444 6 3
c.t.a.m.r.linear.LinearRegTrainTask 0.7689 10 5
c.t.a.m.r.linear.LinearRegLeaner 0.7436 14 3
c.t.a.m.r.linear.LinearRegPredictResult NaN 1 0
c.t.a.m.o.newton.LBFGS NaN 0 0
c.t.a.m.o.newton.OWLQN NaN 0 0
c.t.a.m.objective.Loss NaN 0 0
c.t.a.m.objective.L..$DirectLogisticLoss 0.5 4 1
c.t.a.m.objective.L..$LogisticLoss 0.5238 7 1
c.t.a.m.objective.L..$BinaryLogisticLoss NaN 1 0
c.t.a.m.objective.L..$LinearSquareLoss 0.5238 7 1
c.t.a.m.objective.RegLossObj 0.5 5 4
c.t.a.m.objective.SoftmaxMultiClassObj 0.5733 6 5
c.t.a.m.utils.D..$ NaN 1 1
c.t.a.m.utils.ReflectionUtils NaN 0 0
c.t.a.m.utils.HDFSUtils NaN 0 0
c.t.a.m.utils.Maths NaN 0 0
c.t.a.m.utils.DataParser NaN 1 1
c.t.a.m.utils.ValidationUtils NaN 0 0
c.t.a.m.utils.L..$ 0.6 5 6
c.t.a.m.utils.D..$ 0.6 5 6
c.t.a.m.utils.LibSVMDataParser 0.8817 22 6
c.t.a.m.utils.H..$ 0 2 2
c.t.a.m.utils.DummyDataParser 0.8817 22 6
c.t.a.m.utils.R..$ 0.4167 4 2
c.t.a.m.utils.DenseDataParser 0.8597 22 5
c.t.a.m.utils.D..$ 0.6 5 6
c.t.a.m.o.sgd.A..$ NaN 2 0
c.t.a.m.o.sgd.A..$ NaN 2 0
c.t.a.m.o.sgd.RMSprop 0.5357 8 3
c.t.a.m.o.sgd.AdaGrad 0.5357 8 3
c.t.a.m.o.sgd.Momentum 0.619 7 4
c.t.a.m.o.sgd.MiniBatchSGD 0.5556 7 3
c.t.a.m.o.sgd.AdaDelta 0.5704 10 3
c.t.a.m.o.sgd.M..$ NaN 2 0
c.t.a.m.o.sgd.M..$ NaN 2 0
c.t.a.m.o.sgd.Adam 0.6296 9 3
c.t.a.m.o.sgd.R..$ NaN 2 0
c.t.a.m.o.sgd.A..$ NaN 1 0
c.t.a.m.o.admm.L..$ NaN 1 0
c.t.a.m.o.admm.A..$C..$ NaN 1 0
c.t.a.m.o.admm.A..$C..$CalThread NaN 2 0
c.t.a.m.o.admm.A..$LocalModel 0.7766 14 3
c.t.a.m.o.admm.A..$L..$ 0.6 5 3
c.t.a.m.o.admm.A..$L..$ 0.6 5 4
c.t.a.m.o.admm.LogisticGradient 0.5556 3 3
c.t.a.m.o.admm.A..$LocalIndex 0.7905 15 3
c.t.a.m.o.admm.ADMM 0.5556 18 2
c.t.a.m.o.admm.A..$ 0.6275 17 9
c.t.a.m.o.admm.A..$CostFun 0.8452 43 10
c.t.a.m.o.admm.A..$C..$G..$ 0.5 4 5
c.t.a.m.o.admm.A..$C..$GradientAndLoss 0.7342 20 4

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