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SCOM

Min: 0.0002, max: 2.4737, yellow zone: [0.4000 .. 0.6000].

Elements: 102, μ: 0.3013, σ: 0.4642, Var: 0.2155, defects: 14%.

Packages: 43, classes: 283.

Green: 108, yellow: 12, red: 163.

Class SCOM m pairs a SCOM_minK
c.t.a.m.t.modelconverter.ModelConverterTask 0 4 6 1 1.000000000000000002
c.t.a.m.t.modelconverter.ModelConverterRunner NaN 1 0 0 NaN
c.t.a.m.t.modelconverter.ModelMergeAndConverterTask 0 4 6 1 1.000000000000000002
c.t.a.m.t.modelconverter.ModelMergeAndConverterRunner NaN 1 0 0 NaN
c.t.a.m.GBDT.psf.GBDTGradHistGetRowResult NaN 1 0 1 NaN
c.t.a.m.GBDT.psf.HistAggrParam NaN 1 0 5 NaN
c.t.a.m.GBDT.psf.H..$HistPartitionAggrParam 0.6205 8 28 5 0.0528571428571428582
c.t.a.m.GBDT.psf.GBDTGradHistGetRowFunc 2.4737 2 1 1 1
c.t.a.m.o.lossfuncs.E..$ 0 2 1 1 1
c.t.a.m.o.lossfuncs.SquareHingeLoss NaN 0 0 0 NaN
c.t.a.m.o.lossfuncs.SoftMaxLoss NaN 0 0 0 NaN
c.t.a.m.o.lossfuncs.ExpLoss NaN 0 0 0 NaN
c.t.a.m.o.lossfuncs.H..$ NaN 1 0 1 NaN
c.t.a.m.o.lossfuncs.L..$ 0 3 3 2 0.333333333333333334
c.t.a.m.o.lossfuncs.HingeLoss 0 5 10 3 0.144444444444444442988888888888888889
c.t.a.m.o.lossfuncs.HuberLoss 0 3 3 1 0.999999999999999999
c.t.a.m.o.lossfuncs.S..$ 0 2 1 1 1
c.t.a.m.o.lossfuncs.H..$ NaN 1 0 1 NaN
c.t.a.m.o.lossfuncs.SquareLoss NaN 0 0 0 NaN
c.t.a.m.o.lossfuncs.LogisticLoss NaN 0 0 0 NaN
c.t.a.m.o.lossfuncs.S..$ 0 2 1 1 1
c.t.a.m.o.lossfuncs.S..$ 1.8276 2 1 1 1
c.t.a.m.l.psf.ColumnGetResult NaN 0 0 1 NaN
c.t.a.m.l.psf.PartColumnResult 0.5758 4 6 2 0.2916666666666666655
c.t.a.m.l.psf.GetColumnFunc 0 2 1 1 1
c.t.a.m.l.psf.LikelihoodParam NaN 1 0 1 NaN
c.t.a.m.l.psf.UpdatePartFunc NaN 1 0 1 NaN
c.t.a.m.l.psf.L..$LikelihoodPartParam 1.2778 4 6 1 1.000000000000000002
c.t.a.m.l.psf.CSRPartUpdateParam 0.5185 3 3 3 0.1481481481481481480185185185185185185
c.t.a.m.l.psf.LikelihoodFunc 0 3 3 1 0.999999999999999999
c.t.a.m.l.psf.PartCSRResult 0.11 5 10 5 0.048
c.t.a.m.l.psf.GetPartFunc 0 2 1 1 1
c.t.a.m.matrixfactorization.MatrixFactorizationRunner 0.0357 8 28 1 0.999999999999999992
c.t.a.m.matrixfactorization.M..$ 0 4 6 4 0.078125000000000000625
c.t.a.m.matrixfactorization.MFTrainTask 0 5 10 1 1
c.t.a.m.matrixfactorization.MFModel 0.0024 21 210 6 0.032275132275132289332804232804232804
c.t.a.m.matrixfactorization.MFLearner 0.0002 28 378 16 0.0045779596560846465625
c.t.a.m.o.admm.ADMM NaN 0 0 0 NaN
c.t.a.m.conf.MLConf NaN 0 0 0 NaN
c.t.a.m.conf.M..$ 0 152 11476 153 0.000043280699506028901960871790842407
c.t.a.m.l.a.structures.S2BTraverseMap 0.5175 12 66 4 0.0667613636363636385
c.t.a.m.l.a.structures.FTree 0.9153 7 21 3 0.142857142857142857
c.t.a.m.l.a.structures.S2STraverseMap 0.5198 12 66 4 0.0667613636363636385
c.t.a.m.l.a.structures.TraverseHashMap 0.0027 14 91 4 0.0728021978021977955
c.t.a.m.l.a.structures.S2STightTraverseMap 1.1484 12 66 1 1.000000000000000032
c.t.a.m.l.a.structures.S2ITraverseMap 0.5198 12 66 4 0.0667613636363636385
c.t.a.m.l.a.structures.S2BTightTraverseMap 1.1522 12 66 1 1.000000000000000032
c.t.a.m.param.TreeParam NaN 1 0 12 NaN
c.t.a.m.param.GBDTParam 0.1067 2 1 15 0.0355555555555555557444444444444444445
c.t.a.m.param.RegTParam 0.0753 7 21 22 0.0067886658795749720451593860684769775
c.t.a.m.factorizationmachines.FMRunner NaN 6 15 0 NaN
c.t.a.m.factorizationmachines.F..$ 0.5 5 10 1 1
c.t.a.m.factorizationmachines.FMPredictResult 0 15 105 3 0.1164021164021164166693121693121693125
c.t.a.m.factorizationmachines.F..$ 0 4 6 1 1.000000000000000002
c.t.a.m.factorizationmachines.FMPredictTask 0 4 6 1 1.000000000000000002
c.t.a.m.factorizationmachines.FMModel 0 16 120 13 0.009714003944773175153747534516765286
c.t.a.m.factorizationmachines.FMTrainTask 0.0051 12 66 6 0.029882154882154879165824915824915825
c.t.a.m.factorizationmachines.FMLearner 0 22 231 14 0.0066481137909709415
c.t.a.m.m.threads.ItemVec 0.0278 9 36 3 0.1203703703703703670046296296296296295
c.t.a.m.m.threads.SgdTask 0.0128 13 78 5 0.0476923076923076904
c.t.a.m.m.threads.UserVec 0.0049 19 171 6 0.035087719298245632
c.t.a.m.m.threads.Utils NaN 0 0 0 NaN
c.t.a.m.m.threads.EvaluateTask 0.0095 15 105 6 0.0341269841269841204992063492063492065
c.t.a.m.m.threads.PWriteUserTask 0 3 3 5 0.0800000000000000004
c.t.a.m.m.threads.U..$ 0.464 14 91 2 0.25961538461538463875
c.t.a.m.m.threads.PSgdTask 0.0047 20 190 9 0.0167641325536062406665692007797270955
c.t.a.m.m.threads.PEvaluateTask 0.0071 16 120 7 0.027040816326530601428316326530612245
c.t.a.m.sketchML.Mix64Hash NaN 1 0 0 NaN
c.t.a.m.sketchML.Int2IntHash NaN 1 0 1 NaN
c.t.a.m.sketchML.MulHash NaN 1 0 1 NaN
c.t.a.m.sketchML.AvgQSketch 0.5139 9 36 3 0.1203703703703703670046296296296296295
c.t.a.m.sketchML.BJHash NaN 1 0 0 NaN
c.t.a.m.sketchML.TWHash NaN 1 0 0 NaN
c.t.a.m.sketchML.YahooSketch 0.6333 10 45 4 0.0770833333333333395
c.t.a.m.sketchML.CMSketch 0.5683 7 21 3 0.142857142857142857
c.t.a.m.optimizer2.OptModel 0 16 120 4 0.0656249999999999895
c.t.a.m.optimizer2.Optimizer 0.0049 18 153 8 0.020986519607843148
c.t.a.m.optimizer2.OptMethods NaN 0 0 0 NaN
c.t.a.m.optimizer2.O..$ 0 6 15 7 0.027210884353741497144217687074829932
c.t.a.m.task.PredictTask 0 5 10 2 0.3
c.t.a.m.task.TrainTask 0 3 3 1 0.999999999999999999
c.t.a.m.c.lr.L..$ 0 3 3 1 0.999999999999999999
c.t.a.m.c.lr.LRPredictResult 0 2 1 4 0.15625
c.t.a.m.c.lr.LRRunner 0 7 21 1 0.999999999999999999
c.t.a.m.c.lr.LRModel 0 13 78 7 0.023286237571951864000523286237571952
c.t.a.m.c.lr.LRTrainTask 0.0016 17 136 9 0.013707334785766165333514887436456064
c.t.a.m.c.lr.LRLearner 0 19 171 14 0.007638142976488850285594939730278076
c.t.a.m.c.lr.LRPredictTask NaN 3 3 0 NaN
c.t.a.m.c.fm.FMPredictTask NaN 3 3 0 NaN
c.t.a.m.c.fm.LRPredictResult 0 2 1 4 0.15625
c.t.a.m.c.fm.FMModel 0 18 153 10 0.011568627450980391
c.t.a.m.c.fm.FMLearner 0 21 210 16 0.006026785714285722
c.t.a.m.c.fm.F..$ 0 3 3 1 0.999999999999999999
c.t.a.m.c.fm.FMRunner 0 7 21 1 0.999999999999999999
c.t.a.m.c.fm.FMTrainTask 0.0016 17 136 9 0.013707334785766165333514887436456064
c.t.a.m.o.u.oputils.E..$class NaN 0 0 0 NaN
c.t.a.m.o.u.oputils.NullBinary 0.011 14 91 3 0.1221001221001220999969474969474969475
c.t.a.m.o.u.oputils.NullTernary 0.011 14 91 3 0.1221001221001220999969474969474969475
c.t.a.m.o.u.oputils.ScalarExpr 0.0065 18 153 5 0.045490196078431368
c.t.a.m.o.u.oputils.RMSPropExpr 0.0059 17 136 5 0.0476470588235294232
c.t.a.m.o.u.oputils.DefaultTernary 0.0083 16 120 4 0.0656249999999999895
c.t.a.m.o.u.oputils.AdaGradExpr 0.0071 15 105 4 0.069047619047619049
c.t.a.m.o.u.oputils.AdaDeltaExpr 0.0065 18 153 5 0.045490196078431368
c.t.a.m.o.u.oputils.TOperation NaN 0 0 0 NaN
c.t.a.m.o.u.oputils.AdamExpr 0.0025 24 276 10 0.0126630434782608645
c.t.a.m.o.u.oputils.T..$ 0 5 10 6 0.0388888888888888896694444444444444445
c.t.a.m.o.u.oputils.DefaultUnary 0.0083 16 120 4 0.0656249999999999895
c.t.a.m.o.u.oputils.DefaultBinary 0.0083 16 120 4 0.0656249999999999895
c.t.a.m.o.u.oputils.NullUnary 0.011 14 91 3 0.1221001221001220999969474969474969475
c.t.a.m.metric.MAEMetric NaN 3 3 0 NaN
c.t.a.m.metric.ErrorEvalMetric 0 3 3 1 0.999999999999999999
c.t.a.m.metric.RMSEMetric NaN 3 3 0 NaN
c.t.a.m.metric.MultiErrorMetric NaN 4 6 0 NaN
c.t.a.m.metric.LogErrorMetric NaN 3 3 0 NaN
c.t.a.m.metric.LogLossMetric NaN 3 3 0 NaN
c.t.a.m.GBDT.GBDTPredictTask NaN 3 3 0 NaN
c.t.a.m.GBDT.GBDTTrainTask 0.003 11 55 6 0.03232323232323232000101010101010101
c.t.a.m.GBDT.GBDTRunner 0.005 19 171 7 0.0232724668814894378576799140708915145
c.t.a.m.GBDT.G..$ 0 13 78 11 0.014091968637423188908984954439499894
c.t.a.m.GBDT.GBDTLearner 0 6 15 3 0.125925925925925924674074074074074074
c.t.a.m.GBDT.GBDTPredictResult NaN 1 0 2 NaN
c.t.a.m.GBDT.GBDTModel 0.0003 25 300 23 0.003484562066792689217334593572778828
c.t.a.m.warplda.LDATrainTask 0 6 15 2 0.27499999999999999725
c.t.a.m.warplda.Document 0.0667 6 15 3 0.125925925925925924674074074074074074
c.t.a.m.warplda.S..$ NaN 1 0 2 NaN
c.t.a.m.warplda.LDAInferTask 0 10 45 2 0.26388888888888888625
c.t.a.m.warplda.L..$ 0 13 78 13 0.006372325898953120615422545895918677
c.t.a.m.warplda.AliasTable 0 9 36 7 0.032312925170068025142290249433106576
c.t.a.m.warplda.LDAModel 0 17 136 16 0.007352941176470592
c.t.a.m.warplda.LDARunner 0 7 21 1 0.999999999999999999
c.t.a.m.warplda.WTokens 0.0047 19 171 10 0.0109941520467836276
c.t.a.m.warplda.LDATrainer 0.0427 30 435 11 0.009290396124251941091023083499572528
c.t.a.m.warplda.Sampler 0.0014 27 351 12 0.0093186134852801617501187084520417855
c.t.a.m.l.algo.BinarySearch NaN 0 0 0 NaN
c.t.a.m.l.algo.CSRTokens NaN 1 0 9 NaN
c.t.a.m.l.algo.Sampler 0.2968 11 55 16 0.00603693181818181625
c.t.a.m.l.algo.Document NaN 1 0 3 NaN
c.t.a.m.GBDT.a.tree.TSplitValueHelper NaN 0 0 0 NaN
c.t.a.m.GBDT.a.tree.TNode 0.0152 12 66 6 0.029882154882154879165824915824915825
c.t.a.m.GBDT.a.tree.Tree NaN 0 0 0 NaN
c.t.a.m.GBDT.a.tree.TYahooSketchSplit NaN 0 0 0 NaN
c.t.a.m.GBDT.a.tree.SplitEntry 0.45 11 55 6 0.03232323232323232000101010101010101
c.t.a.m.GBDT.a.tree.TAvgDisSplit NaN 0 0 0 NaN
c.t.a.m.c.sparselr.SparseLRPredictTask NaN 3 3 0 NaN
c.t.a.m.c.sparselr.SparseLRPredictResult 0 2 1 4 0.15625
c.t.a.m.c.sparselr.S..$ NaN 1 0 1 NaN
c.t.a.m.c.sparselr.SparseLRLearner 0.0076 15 105 5 0.042285714285714291
c.t.a.m.c.sparselr.SparseLRRunner NaN 6 15 0 NaN
c.t.a.m.c.sparselr.SparseLRTrainTask 0 7 21 4 0.0773809523809523825
c.t.a.m.c.sparselr.SparseLRModel 0 16 120 14 0.008971088435374146071683673469387755
c.t.a.m.c.kmeans.K..$ 0 3 3 3 0.1481481481481481480185185185185185185
c.t.a.m.c.kmeans.KMeansResult NaN 1 0 2 NaN
c.t.a.m.c.kmeans.K..$ 0 2 1 3 0.2222222222222222219444444444444444445
c.t.a.m.c.kmeans.KMeansLearner 0 15 105 7 0.028571428571428575
c.t.a.m.c.kmeans.KMeansModel 0.0021 13 78 6 0.038461538461538466
c.t.a.m.c.kmeans.KMeansTrainTask 0 7 21 4 0.0773809523809523825
c.t.a.m.c.kmeans.KMeansRunner NaN 6 15 0 NaN
c.t.a.m.c.kmeans.KMeansPredictTask 0 5 10 2 0.3
c.t.a.m.lda.LDAIncTask 0.0136 11 55 4 0.07159090909090908375
c.t.a.m.lda.L..$ 0 17 136 17 0.003663749236718905411739263179320171
c.t.a.m.lda.LDAPredictTask 0.0057 15 105 5 0.042285714285714291
c.t.a.m.lda.LDATrainTask 0.0077 13 78 5 0.0476923076923076904
c.t.a.m.lda.LDAModel 0.0005 26 325 20 0.0038846153846153885
c.t.a.m.lda.LDARunner 0 7 21 1 0.999999999999999999
c.t.a.m.lda.LDALearner 0.0215 34 561 13 0.006898079296269356307787235389045344
c.t.a.m.c.mlr.mlrW..$ 0.7 5 10 1 1
c.t.a.m.c.mlr.M..$ 0 3 3 1 0.999999999999999999
c.t.a.m.c.mlr.MLRPredictResult NaN 1 0 2 NaN
c.t.a.m.c.mlr.MLRRunner 0 7 21 1 0.999999999999999999
c.t.a.m.c.mlr.MLRPredictTask NaN 3 3 0 NaN
c.t.a.m.c.mlr.MLRTrainTask 0.003 11 55 6 0.03232323232323232000101010101010101
c.t.a.m.c.mlr.mlrWeight 0 17 136 4 0.07352941176470588
c.t.a.m.c.mlr.MLRModel 0 16 120 12 0.010590277777777771
c.t.a.m.c.mlr.MLRLearner 0 20 190 11 0.009438886472379293363766855154414963
c.t.a.m.o.sgd.GradientDescent NaN 0 0 0 NaN
c.t.a.m.o.sgd.G..$ 0.7803 10 45 2 0.26388888888888888625
c.t.a.ml.M..$class NaN 0 0 0 NaN
c.t.a.ml.MLLearner 0 4 6 3 0.166666666666666668
c.t.a.m.o.s.loss.L1Loss 0.1667 4 6 1 1.000000000000000002
c.t.a.m.o.s.loss.L2Loss 0.1667 4 6 1 1.000000000000000002
c.t.a.m.o.s.loss.L2LogLoss NaN 5 10 0 NaN
c.t.a.m.o.s.loss.L1LogLoss NaN 6 15 0 NaN
c.t.a.m.o.s.loss.L2HingeLoss 0 5 10 1 1
c.t.a.m.o.s.loss.SquareL2Loss 0 3 3 1 0.999999999999999999
c.t.a.m.o.utils.ExecuteUtils NaN 0 0 0 NaN
c.t.a.m.o.utils.E..$ 1.64 5 10 1 1
c.t.a.m.o.utils.OptUtils NaN 0 0 0 NaN
c.t.a.m.o.utils.O..$ 1.1832 25 300 1 0.9999999999999999
c.t.a.m.o.utils.M..$ 2.8 2 1 1 1
c.t.a.m.o.utils.MeasureUtils NaN 0 0 0 NaN
c.t.a.m.o.ogd.FTRL NaN 0 0 0 NaN
c.t.a.m.o.ogd.FOBOS NaN 0 0 0 NaN
c.t.a.m.o.ogd.RDA NaN 0 0 0 NaN
c.t.a.m.c.svm.SVMPredictResult NaN 1 0 2 NaN
c.t.a.m.c.svm.SVMModel 0.0095 7 21 5 0.0590476190476190488
c.t.a.m.c.svm.S..$ 0 3 3 1 0.999999999999999999
c.t.a.m.c.svm.SVMPredictTask 0 4 6 1 1.000000000000000002
c.t.a.m.c.svm.SVMTrainTask 0.0044 10 45 5 0.0435555555555555512
c.t.a.m.c.svm.SVMRunner 0.0357 8 28 1 0.999999999999999992
c.t.a.m.c.svm.SVMLearner 0 14 91 10 0.0146153846153846167
c.t.a.m.c.ftrllr.FTRLLRLearner 0 15 105 11 0.012357339630066905636127508854781582
c.t.a.m.c.ftrllr.FTRLLRPredictTask NaN 3 3 0 NaN
c.t.a.m.c.ftrllr.F..$ 0 3 3 1 0.999999999999999999
c.t.a.m.c.ftrllr.FTRLLRPredictResult NaN 0 0 0 NaN
c.t.a.m.c.ftrllr.FTRLLRRunner NaN 6 15 0 NaN
c.t.a.m.c.ftrllr.FTRLLRModel 0 15 105 14 0.009523809523809518
c.t.a.m.c.ftrllr.FTRLLRTrainTask 0.003 11 55 6 0.03232323232323232000101010101010101
c.t.a.m.GBDT.algo.GBDTPhase NaN 0 0 7 NaN
c.t.a.m.GBDT.algo.AfterSplitRunner NaN 1 0 7 NaN
c.t.a.m.GBDT.algo.FeatureMeta 0.3333 4 6 4 0.078125000000000000625
c.t.a.m.GBDT.algo.GradHistThread NaN 1 0 6 NaN
c.t.a.m.GBDT.algo.GBDTController 0.2722 26 325 27 0.001477260736519996296300517041257782
c.t.a.m.GBDT.a.RegTree.RegTDataStore 0.0068 16 120 11 0.011639118457300281999724517906336088
c.t.a.m.GBDT.a.RegTree.GradStats 0.3593 16 120 3 0.12500000000000001
c.t.a.m.GBDT.a.RegTree.RegTNodeStat 0.1333 4 6 6 0.0486111111111111115
c.t.a.m.GBDT.a.RegTree.RegTree 0 4 6 5 0.0599999999999999994
c.t.a.m.GBDT.a.RegTree.GradPair 0.1667 4 6 2 0.2916666666666666655
c.t.a.m.GBDT.a.RegTree.GradHistHelper 1.0154 6 15 4 0.08750000000000000175
c.t.a.m.o.ftrl.FTRL NaN 0 0 0 NaN
c.t.a.m.o.ftrl.F..$ 0.5981 4 6 2 0.2916666666666666655
c.t.a.m.c.lr.LRRunner 0 7 21 1 0.999999999999999999
c.t.a.m.c.lr.ZipLR 0 7 21 1 0.999999999999999999
c.t.a.m.c.lr.LRPredictTask NaN 3 3 0 NaN
c.t.a.m.c.lr.LRPredictResult 0 2 1 4 0.15625
c.t.a.m.c.lr.L..$ 0 3 3 1 0.999999999999999999
c.t.a.m.c.lr.LRLearner 0 22 231 16 0.0057663690476190569375
c.t.a.m.c.lr.LRTrainTask 0.0016 17 136 9 0.013707334785766165333514887436456064
c.t.a.m.c.lr.LRModel 0 11 55 10 0.01818181818181818
c.t.a.m.r.linear.LinearRegPredictTask 0 4 6 1 1.000000000000000002
c.t.a.m.r.linear.L..$ 0 2 1 2 0.375
c.t.a.m.r.linear.LinearRegModel 0 4 6 3 0.166666666666666668
c.t.a.m.r.linear.LinearRegRunner NaN 6 15 0 NaN
c.t.a.m.r.linear.LinearRegTrainTask 0.0044 10 45 5 0.0435555555555555512
c.t.a.m.r.linear.LinearRegLeaner 0 14 91 10 0.0146153846153846167
c.t.a.m.r.linear.LinearRegPredictResult NaN 1 0 2 NaN
c.t.a.m.o.newton.LBFGS NaN 0 0 0 NaN
c.t.a.m.o.newton.OWLQN NaN 0 0 0 NaN
c.t.a.m.objective.Loss NaN 0 0 0 NaN
c.t.a.m.objective.L..$DirectLogisticLoss NaN 4 6 0 NaN
c.t.a.m.objective.L..$LogisticLoss 0 7 21 1 0.999999999999999999
c.t.a.m.objective.L..$BinaryLogisticLoss NaN 1 0 0 NaN
c.t.a.m.objective.L..$LinearSquareLoss NaN 7 21 0 NaN
c.t.a.m.objective.RegLossObj 0.7375 5 10 4 0.1
c.t.a.m.objective.SoftmaxMultiClassObj 0.0267 6 15 5 0.066666666666666665
c.t.a.m.utils.D..$ NaN 1 0 1 NaN
c.t.a.m.utils.ReflectionUtils NaN 0 0 0 NaN
c.t.a.m.utils.HDFSUtils NaN 0 0 0 NaN
c.t.a.m.utils.Maths NaN 0 0 0 NaN
c.t.a.m.utils.DataParser NaN 1 0 0 NaN
c.t.a.m.utils.ValidationUtils NaN 0 0 2 NaN
c.t.a.m.utils.L..$ 1.1 5 10 1 1
c.t.a.m.utils.D..$ 1.1 5 10 1 1
c.t.a.m.utils.LibSVMDataParser 0 22 231 6 0.031024531024531046
c.t.a.m.utils.H..$ 0 2 1 2 0.375
c.t.a.m.utils.DummyDataParser 0 22 231 6 0.031024531024531046
c.t.a.m.utils.R..$ 0.777 4 6 3 0.166666666666666668
c.t.a.m.utils.DenseDataParser 0 22 231 6 0.031024531024531046
c.t.a.m.utils.D..$ 1.1 5 10 1 1
c.t.a.m.o.sgd.A..$ 0 2 1 1 1
c.t.a.m.o.sgd.A..$ 0 2 1 1 1
c.t.a.m.o.sgd.RMSprop 0.0071 8 28 5 0.0528571428571428582
c.t.a.m.o.sgd.AdaGrad 0.0071 8 28 5 0.0528571428571428582
c.t.a.m.o.sgd.Momentum 0.0238 7 21 4 0.0773809523809523825
c.t.a.m.o.sgd.MiniBatchSGD 0 7 21 3 0.142857142857142857
c.t.a.m.o.sgd.AdaDelta 0.0074 10 45 6 0.035185185185185188
c.t.a.m.o.sgd.M..$ 0 2 1 1 1
c.t.a.m.o.sgd.M..$ 0 2 1 1 1
c.t.a.m.o.sgd.Adam 0.0093 9 36 6 0.03858024691358024999845679012345679
c.t.a.m.o.sgd.R..$ 0 2 1 1 1
c.t.a.m.o.sgd.A..$ NaN 1 0 1 NaN
c.t.a.m.o.admm.L..$ NaN 1 0 1 NaN
c.t.a.m.o.admm.A..$C..$ NaN 1 0 1 NaN
c.t.a.m.o.admm.A..$C..$CalThread 0 2 1 4 0.15625
c.t.a.m.o.admm.A..$LocalModel 0.0055 14 91 2 0.25961538461538463875
c.t.a.m.o.admm.A..$L..$ 0.5 5 10 1 1
c.t.a.m.o.admm.A..$L..$ 0.7 5 10 1 1
c.t.a.m.o.admm.LogisticGradient 0.75 3 3 1 0.999999999999999999
c.t.a.m.o.admm.A..$LocalIndex 0 15 105 3 0.1164021164021164166693121693121693125
c.t.a.m.o.admm.ADMM 0.0065 18 153 6 0.0291394335511982452494553376906318085
c.t.a.m.o.admm.A..$ 0.0966 17 136 5 0.0476470588235294232
c.t.a.m.o.admm.A..$CostFun 0.0005 43 903 9 0.013124974365284480000102538862228785
c.t.a.m.o.admm.A..$C..$G..$ 0 4 6 1 1.000000000000000002
c.t.a.m.o.admm.A..$C..$GradientAndLoss 0.0039 20 190 4 0.064967105263157918125

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