From 6eb3551e292acac1e40a708169762913d1c86bfc Mon Sep 17 00:00:00 2001 From: Gani Nazirov Date: Fri, 8 Jun 2018 11:37:47 -0700 Subject: [PATCH] GetSummaryDataView/Row implementation for Pca and Linear Predictors (#185) * Implement `ICanGetSummaryAsIDataView` on `PcaPredictor` class * Implement `ICanGetSummaryAsIRow` on `LinearPredictor` class --- src/Microsoft.ML.PCA/PcaTrainer.cs | 21 + .../Standard/LinearPredictor.cs | 76 +- .../Common/EntryPoints/lr-weights.txt | 8 + .../Common/EntryPoints/mc-lr-stats.txt | 10 + .../Common/EntryPoints/mc-lr-weights.txt | 10 + .../Common/EntryPoints/pca-weights.txt | 28 + ...lt-TrainTest-azureCounterUnlabeled-out.txt | 24 + ...ult-TrainTest-azureCounterUnlabeled-rp.txt | 4 + ...rainTest-azureCounterUnlabeled-summary.txt | 25 + ...efault-TrainTest-azureCounterUnlabeled.txt | 6591 +++++++++++++++++ .../Default-TrainTest-mnistOneClass-out.txt | 76 + .../Default-TrainTest-mnistOneClass-rp.txt | 4 + .../Default-TrainTest-mnistOneClass.txt | 116 + .../NoNorm-TrainTest-mnistOneClass-out.txt | 76 + .../NoNorm-TrainTest-mnistOneClass-rp.txt | 4 + .../NoNorm-TrainTest-mnistOneClass.txt | 116 + ...lt-TrainTest-azureCounterUnlabeled-out.txt | 24 + ...ult-TrainTest-azureCounterUnlabeled-rp.txt | 4 + ...rainTest-azureCounterUnlabeled-summary.txt | 25 + ...efault-TrainTest-azureCounterUnlabeled.txt | 6591 +++++++++++++++++ .../Default-TrainTest-mnistOneClass-out.txt | 76 + .../Default-TrainTest-mnistOneClass-rp.txt | 4 + .../Default-TrainTest-mnistOneClass.txt | 116 + .../NoNorm-TrainTest-mnistOneClass-out.txt | 76 + .../NoNorm-TrainTest-mnistOneClass-rp.txt | 4 + .../NoNorm-TrainTest-mnistOneClass.txt | 116 + .../UnitTests/TestEntryPoints.cs | 140 + .../TestPredictors.cs | 8 +- test/Microsoft.ML.TestFramework/Datasets.cs | 4 +- test/Microsoft.ML.TestFramework/Learners.cs | 7 +- test/data/MNIST.Test.tiny.txt | 115 + test/data/breast-cancer-withheader.txt | 701 ++ 32 files changed, 15142 insertions(+), 58 deletions(-) create mode 100644 test/BaselineOutput/Common/EntryPoints/lr-weights.txt create mode 100644 test/BaselineOutput/Common/EntryPoints/mc-lr-stats.txt create mode 100644 test/BaselineOutput/Common/EntryPoints/mc-lr-weights.txt create mode 100644 test/BaselineOutput/Common/EntryPoints/pca-weights.txt create mode 100644 test/BaselineOutput/SingleDebug/pcaAnomaly/Default-TrainTest-azureCounterUnlabeled-out.txt create mode 100644 test/BaselineOutput/SingleDebug/pcaAnomaly/Default-TrainTest-azureCounterUnlabeled-rp.txt create mode 100644 test/BaselineOutput/SingleDebug/pcaAnomaly/Default-TrainTest-azureCounterUnlabeled-summary.txt create mode 100644 test/BaselineOutput/SingleDebug/pcaAnomaly/Default-TrainTest-azureCounterUnlabeled.txt create mode 100644 test/BaselineOutput/SingleDebug/pcaAnomaly/Default-TrainTest-mnistOneClass-out.txt create mode 100644 test/BaselineOutput/SingleDebug/pcaAnomaly/Default-TrainTest-mnistOneClass-rp.txt create mode 100644 test/BaselineOutput/SingleDebug/pcaAnomaly/Default-TrainTest-mnistOneClass.txt create mode 100644 test/BaselineOutput/SingleDebug/pcaAnomaly/NoNorm-TrainTest-mnistOneClass-out.txt create mode 100644 test/BaselineOutput/SingleDebug/pcaAnomaly/NoNorm-TrainTest-mnistOneClass-rp.txt create mode 100644 test/BaselineOutput/SingleDebug/pcaAnomaly/NoNorm-TrainTest-mnistOneClass.txt create mode 100644 test/BaselineOutput/SingleRelease/pcaAnomaly/Default-TrainTest-azureCounterUnlabeled-out.txt create mode 100644 test/BaselineOutput/SingleRelease/pcaAnomaly/Default-TrainTest-azureCounterUnlabeled-rp.txt create mode 100644 test/BaselineOutput/SingleRelease/pcaAnomaly/Default-TrainTest-azureCounterUnlabeled-summary.txt create mode 100644 test/BaselineOutput/SingleRelease/pcaAnomaly/Default-TrainTest-azureCounterUnlabeled.txt create mode 100644 test/BaselineOutput/SingleRelease/pcaAnomaly/Default-TrainTest-mnistOneClass-out.txt create mode 100644 test/BaselineOutput/SingleRelease/pcaAnomaly/Default-TrainTest-mnistOneClass-rp.txt create mode 100644 test/BaselineOutput/SingleRelease/pcaAnomaly/Default-TrainTest-mnistOneClass.txt create mode 100644 test/BaselineOutput/SingleRelease/pcaAnomaly/NoNorm-TrainTest-mnistOneClass-out.txt create mode 100644 test/BaselineOutput/SingleRelease/pcaAnomaly/NoNorm-TrainTest-mnistOneClass-rp.txt create mode 100644 test/BaselineOutput/SingleRelease/pcaAnomaly/NoNorm-TrainTest-mnistOneClass.txt create mode 100644 test/data/MNIST.Test.tiny.txt create mode 100644 test/data/breast-cancer-withheader.txt diff --git a/src/Microsoft.ML.PCA/PcaTrainer.cs b/src/Microsoft.ML.PCA/PcaTrainer.cs index 1d34db4b21d..0945b04041a 100644 --- a/src/Microsoft.ML.PCA/PcaTrainer.cs +++ b/src/Microsoft.ML.PCA/PcaTrainer.cs @@ -307,6 +307,7 @@ public static CommonOutputs.AnomalyDetectionOutput TrainPcaAnomaly(IHostEnvironm // REVIEW: move the predictor to a different file and fold EigenUtils.cs to this file. public sealed class PcaPredictor : PredictorBase, IValueMapper, + ICanGetSummaryAsIDataView, ICanSaveInTextFormat, ICanSaveModel, ICanSaveSummary { public const string LoaderSignature = "pcaAnomExec"; @@ -468,6 +469,26 @@ public void SaveAsText(TextWriter writer, RoleMappedSchema schema) } } + public IDataView GetSummaryDataView(RoleMappedSchema schema) + { + var bldr = new ArrayDataViewBuilder(Host); + + var cols = new VBuffer[_rank + 1]; + var names = new string[_rank + 1]; + for (var i = 0; i < _rank; ++i) + { + names[i] = "EigenVector" + i; + cols[i] = _eigenVectors[i]; + } + names[_rank] = "MeanVector"; + cols[_rank] = _mean; + + bldr.AddColumn("VectorName", names); + bldr.AddColumn("VectorData", NumberType.R4, cols); + + return bldr.GetDataView(); + } + public ColumnType InputType { get { return _inputType; } diff --git a/src/Microsoft.ML.StandardLearners/Standard/LinearPredictor.cs b/src/Microsoft.ML.StandardLearners/Standard/LinearPredictor.cs index ad1564c33dc..a3ac7ce72e7 100644 --- a/src/Microsoft.ML.StandardLearners/Standard/LinearPredictor.cs +++ b/src/Microsoft.ML.StandardLearners/Standard/LinearPredictor.cs @@ -44,6 +44,7 @@ public abstract class LinearPredictor : PredictorBase, ICanSaveInTextFormat, ICanSaveInSourceCode, ICanSaveModel, + ICanGetSummaryAsIRow, ICanSaveSummary, IPredictorWithFeatureWeights, IWhatTheFeatureValueMapper, @@ -343,6 +344,30 @@ public void SaveAsCode(TextWriter writer, RoleMappedSchema schema) public abstract void SaveSummary(TextWriter writer, RoleMappedSchema schema); + public virtual IRow GetSummaryIRowOrNull(RoleMappedSchema schema) + { + var cols = new List(); + + var names = default(VBuffer); + MetadataUtils.GetSlotNames(schema, RoleMappedSchema.ColumnRole.Feature, Weight.Length, ref names); + var slotNamesCol = RowColumnUtils.GetColumn(MetadataUtils.Kinds.SlotNames, + new VectorType(TextType.Instance, Weight.Length), ref names); + var slotNamesRow = RowColumnUtils.GetRow(null, slotNamesCol); + var colType = new VectorType(NumberType.R4, Weight.Length); + + // Add the bias and the weight columns. + var bias = Bias; + cols.Add(RowColumnUtils.GetColumn("Bias", NumberType.R4, ref bias)); + var weights = Weight; + cols.Add(RowColumnUtils.GetColumn("Weights", colType, ref weights, slotNamesRow)); + return RowColumnUtils.GetRow(null, cols.ToArray()); + } + + public virtual IRow GetStatsIRowOrNull(RoleMappedSchema schema) + { + return null; + } + public abstract void SaveAsIni(TextWriter writer, RoleMappedSchema schema, ICalibrator calibrator = null); public virtual void GetFeatureWeights(ref VBuffer weights) @@ -366,8 +391,7 @@ public ValueMapper> GetWhatTheFeatureMapper, - ICanGetSummaryAsIRow + IParameterMixer { public const string LoaderSignature = "Linear2CExec"; public const string RegistrationName = "LinearBinaryPredictor"; @@ -503,26 +527,7 @@ public IList> GetSummaryInKeyValuePairs(RoleMappedS return results; } - public IRow GetSummaryIRowOrNull(RoleMappedSchema schema) - { - var cols = new List(); - - var names = default(VBuffer); - MetadataUtils.GetSlotNames(schema, RoleMappedSchema.ColumnRole.Feature, Weight.Length, ref names); - var slotNamesCol = RowColumnUtils.GetColumn(MetadataUtils.Kinds.SlotNames, - new VectorType(TextType.Instance, Weight.Length), ref names); - var slotNamesRow = RowColumnUtils.GetRow(null, slotNamesCol); - var colType = new VectorType(NumberType.R4, Weight.Length); - - // Add the bias and the weight columns. - var bias = Bias; - cols.Add(RowColumnUtils.GetColumn("Bias", NumberType.R4, ref bias)); - var weights = Weight; - cols.Add(RowColumnUtils.GetColumn("Weights", colType, ref weights, slotNamesRow)); - return RowColumnUtils.GetRow(null, cols.ToArray()); - } - - public IRow GetStatsIRowOrNull(RoleMappedSchema schema) + public override IRow GetStatsIRowOrNull(RoleMappedSchema schema) { if (_stats == null) return null; @@ -582,8 +587,7 @@ public override void SaveAsIni(TextWriter writer, RoleMappedSchema schema, ICali public sealed class LinearRegressionPredictor : RegressionPredictor, IParameterMixer, - ICanGetSummaryInKeyValuePairs, - ICanGetSummaryAsIRow + ICanGetSummaryInKeyValuePairs { public const string LoaderSignature = "LinearRegressionExec"; public const string RegistrationName = "LinearRegressionPredictor"; @@ -663,30 +667,6 @@ public IList> GetSummaryInKeyValuePairs(RoleMappedS return results; } - - public IRow GetSummaryIRowOrNull(RoleMappedSchema schema) - { - var cols = new List(); - - var names = default(VBuffer); - MetadataUtils.GetSlotNames(schema, RoleMappedSchema.ColumnRole.Feature, Weight.Length, ref names); - var slotNamesCol = RowColumnUtils.GetColumn(MetadataUtils.Kinds.SlotNames, - new VectorType(TextType.Instance, Weight.Length), ref names); - var slotNamesRow = RowColumnUtils.GetRow(null, slotNamesCol); - var colType = new VectorType(NumberType.R4, Weight.Length); - - // Add the bias and the weight columns. - var bias = Bias; - cols.Add(RowColumnUtils.GetColumn("Bias", NumberType.R4, ref bias)); - var weights = Weight; - cols.Add(RowColumnUtils.GetColumn("Weights", colType, ref weights, slotNamesRow)); - return RowColumnUtils.GetRow(null, cols.ToArray()); - } - - public IRow GetStatsIRowOrNull(RoleMappedSchema schema) - { - return null; - } } public sealed class PoissonRegressionPredictor : RegressionPredictor, IParameterMixer diff --git a/test/BaselineOutput/Common/EntryPoints/lr-weights.txt b/test/BaselineOutput/Common/EntryPoints/lr-weights.txt new file mode 100644 index 00000000000..ed489c6ce61 --- /dev/null +++ b/test/BaselineOutput/Common/EntryPoints/lr-weights.txt @@ -0,0 +1,8 @@ +#@ TextLoader{ +#@ header+ +#@ sep=tab +#@ col=Bias:R4:0 +#@ col=Weights:R4:1-9 +#@ } +Bias thickness uniform_size uniform_shape adhesion epit_size bare_nuclei bland_chromatin normal_nucleoli mitoses +-6.186806 2.65800762 1.68089855 1.944068 1.42514718 0.8536965 2.9325006 1.74816787 1.58165014 0.595681 diff --git a/test/BaselineOutput/Common/EntryPoints/mc-lr-stats.txt b/test/BaselineOutput/Common/EntryPoints/mc-lr-stats.txt new file mode 100644 index 00000000000..3f451e8f26b --- /dev/null +++ b/test/BaselineOutput/Common/EntryPoints/mc-lr-stats.txt @@ -0,0 +1,10 @@ +#@ TextLoader{ +#@ header+ +#@ sep=tab +#@ col={name={Count of training examples} type=I8 src=0} +#@ col={name={Residual Deviance} type=R4 src=1} +#@ col={name={Null Deviance} type=R4 src=2} +#@ col=AIC:R4:3 +#@ } +Count of training examples Residual Deviance Null Deviance AIC +683 119.098892 884.3502 159.098892 diff --git a/test/BaselineOutput/Common/EntryPoints/mc-lr-weights.txt b/test/BaselineOutput/Common/EntryPoints/mc-lr-weights.txt new file mode 100644 index 00000000000..4276ad9c53e --- /dev/null +++ b/test/BaselineOutput/Common/EntryPoints/mc-lr-weights.txt @@ -0,0 +1,10 @@ +#@ TextLoader{ +#@ header+ +#@ sep=tab +#@ col=Bias:R4:0 +#@ col=Weights:R4:1-9 +#@ col=ClassNames:TX:10 +#@ } +Bias thickness uniform_size uniform_shape adhesion epit_size bare_nuclei bland_chromatin normal_nucleoli mitoses ClassNames +3.36404228 -1.579712 -0.8266232 -1.051891 -0.79305464 -0.386733949 -1.59106934 -1.01550019 -0.8356989 -0.332574666 Class_0 +-3.36404562 1.57971311 0.826623559 1.051891 0.7930542 0.386735022 1.59107041 1.015499 0.8356983 0.332574 Class_1 diff --git a/test/BaselineOutput/Common/EntryPoints/pca-weights.txt b/test/BaselineOutput/Common/EntryPoints/pca-weights.txt new file mode 100644 index 00000000000..cf1e0bf302d --- /dev/null +++ b/test/BaselineOutput/Common/EntryPoints/pca-weights.txt @@ -0,0 +1,28 @@ +#@ TextLoader{ +#@ header+ +#@ sep=tab +#@ col=VectorName:TX:0 +#@ col=VectorData:R4:1-784 +#@ } +VectorName 784 0:"" +EigenVector0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -0.000223780546 -0.000223780546 -0.000117276992 0.00038434568 0.0011509934 0.000925706641 -1.12870939E-05 -0.003779042 -0.00523369666 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because it is not needed. +Warning: Encountered 6590 unlabeled instances during testing. +Detection rate at 10 false positives: NaN +Detection rate at 0.01 false positive rate: NaN +Detection rate at 0 positive predictions: NaN +Threshold @K FP: NaN +Threshold @P FPR: NaN +Threshold @NumPos: NaN +AUC: NaN + +OVERALL RESULTS +--------------------------------------- +AUC: NaN (0.0000) +DR @K FP: NaN (0.0000) +DR @P FPR: NaN (0.0000) +DR @NumPos: NaN (0.0000) + +--------------------------------------- +Physical memory usage(MB): %Number% +Virtual memory usage(MB): %Number% +%DateTime% Time elapsed(s): %Number% + diff --git a/test/BaselineOutput/SingleDebug/pcaAnomaly/Default-TrainTest-azureCounterUnlabeled-rp.txt b/test/BaselineOutput/SingleDebug/pcaAnomaly/Default-TrainTest-azureCounterUnlabeled-rp.txt new file mode 100644 index 00000000000..8dc0fad5a71 --- /dev/null +++ b/test/BaselineOutput/SingleDebug/pcaAnomaly/Default-TrainTest-azureCounterUnlabeled-rp.txt @@ -0,0 +1,4 @@ +pcaAnomaly +AUC DR @K FP DR @P FPR DR @NumPos Learner Name Train Dataset Test Dataset Results File Run Time Physical Memory Virtual Memory Command Line Settings +NaN NaN NaN NaN pcaAnomaly %Data%\azure-train-unlabeled.txt %Data%\azure-test-unlabeled.txt %Output%\pcaAnomaly\Default-TrainTest-azureCounterUnlabeled-out.txt 99 0 0 maml.exe TrainTest test=%Data%\azure-test-unlabeled.txt tr=pcaAnomaly dout=%Output%\pcaAnomaly\Default-TrainTest-azureCounterUnlabeled.txt loader=Text{sep=space col=Name:TX:0 col=Features:~} data=%Data%\azure-train-unlabeled.txt out=%Output%\pcaAnomaly\Default-TrainTest-azureCounterUnlabeled-model.zip seed=1 xf=Expr{col=Label:Name expr={x : na(float(0))}} + diff --git a/test/BaselineOutput/SingleDebug/pcaAnomaly/Default-TrainTest-azureCounterUnlabeled-summary.txt b/test/BaselineOutput/SingleDebug/pcaAnomaly/Default-TrainTest-azureCounterUnlabeled-summary.txt new file mode 100644 index 00000000000..52e03c75955 --- /dev/null +++ b/test/BaselineOutput/SingleDebug/pcaAnomaly/Default-TrainTest-azureCounterUnlabeled-summary.txt @@ -0,0 +1,25 @@ +Dimension: 50 +Rank: 20 +Mean vector: 0.788325 0.788341 0.7883744 0.7883848 0.7883936 0.7883905 0.788416 0.7884151 0.7884451 0.7884336 0.7884297 0.7884075 0.7883975 0.7883836 0.7883822 0.7883797 0.7883725 0.7883604 0.7883703 0.7883449 0.7883869 0.7883851 0.7883923 0.788395 0.7883939 0.7883962 0.7884332 0.7884462 0.7884642 0.7884554 0.7884371 0.7883986 0.7883911 0.7883792 0.7883636 0.7883496 0.788327 0.7883144 0.7883062 0.7882917 0.7882761 0.7882612 0.7882473 0.788215 0.7881997 0.7881925 0.7881818 0.788156 0.7881312 0.7880983 +Projected mean vector: -5.572146 -0.0009027272 -8.744746E-05 0.1541603 -0.0005702823 0.0001432076 0.001283392 0.03526849 0.001558058 -0.0006763935 0.007337555 -0.0006400049 0.009445623 -0.007732381 0.01303567 -0.0008754134 -0.004242837 0.005559273 0.002035873 0.0001484156 +# V + 0:-0.1329672 1:-0.1339801 2:-0.1349595 3:-0.1358771 4:-0.1368143 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out=%Output% seed=1 +Automatically adding a MinMax normalization transform, use 'norm=Warn' or 'norm=No' to turn this behavior off. +Not training a calibrator because it is not needed. +50 Top-scored Results +================================================= +Instance Anomaly Score Labeled +66 0.9938 0 +48 0.9909 5 +25 0.9909 0 +72 0.9708 7 +37 0.9144 0 +69 0.8545 5 +70 0.776 1 +5 0.7011 0 +17 0.6974 0 +22 0.6871 9 +74 0.6836 4 +87 0.6795 1 +61 0.6758 6 +102 0.6643 1 +46 0.6519 0 +111 0.648 0 +76 0.6162 0 +12 0.5826 0 +109 0.5744 0 +60 0.57 0 +21 0.5687 0 +83 0.5668 6 +10 0.5591 0 +44 0.5571 0 +35 0.5547 0 +29 0.5546 0 +54 0.5536 0 +27 0.5526 0 +6 0.5507 0 +52 0.5501 0 +30 0.5477 0 +113 0.5465 0 +94 0.5448 0 +40 0.5444 0 +79 0.5365 0 +103 0.531 0 +58 0.5304 0 +64 0.5297 0 +9 0.5292 0 +3 0.5262 0 +78 0.5254 0 +47 0.5241 0 +23 0.5238 0 +110 0.5206 0 +114 0.52 0 +82 0.519 0 +101 0.5127 0 +32 0.5113 0 +88 0.5107 0 +24 0.5096 0 +Detection rate at 10 false positives: 0.900000 +Detection rate at 0.01 false positive rate: 0.100000 +Detection rate at 10 positive predictions: 0.500000 +Threshold @K FP: 0.574407 +Threshold @P FPR: 0.990874 +Threshold @NumPos: 0.687074 +AUC: 0.956190 + +OVERALL RESULTS +--------------------------------------- +AUC: 0.956190 (0.0000) +DR @K FP: 0.900000 (0.0000) +DR @P FPR: 0.100000 (0.0000) +DR @NumPos: 0.500000 (0.0000) + +--------------------------------------- +Physical memory usage(MB): %Number% +Virtual memory usage(MB): %Number% +%DateTime% Time elapsed(s): %Number% + diff --git a/test/BaselineOutput/SingleDebug/pcaAnomaly/Default-TrainTest-mnistOneClass-rp.txt b/test/BaselineOutput/SingleDebug/pcaAnomaly/Default-TrainTest-mnistOneClass-rp.txt new file mode 100644 index 00000000000..4948ad2f4ee --- /dev/null +++ b/test/BaselineOutput/SingleDebug/pcaAnomaly/Default-TrainTest-mnistOneClass-rp.txt @@ -0,0 +1,4 @@ +pcaAnomaly +AUC DR @K FP DR @P FPR DR @NumPos Learner Name Train Dataset Test Dataset Results File Run Time Physical Memory Virtual Memory Command Line Settings +0.95619 0.9 0.1 0.5 pcaAnomaly %Data% %Data% %Output% 99 0 0 maml.exe TrainTest test=%Data% tr=pcaAnomaly dout=%Output% data=%Data% out=%Output% seed=1 + diff --git a/test/BaselineOutput/SingleDebug/pcaAnomaly/Default-TrainTest-mnistOneClass.txt b/test/BaselineOutput/SingleDebug/pcaAnomaly/Default-TrainTest-mnistOneClass.txt new file mode 100644 index 00000000000..8667e96c93d --- /dev/null +++ b/test/BaselineOutput/SingleDebug/pcaAnomaly/Default-TrainTest-mnistOneClass.txt @@ -0,0 +1,116 @@ +Instance Label Score +0 0 0.495893419 +1 0 0.450051278 +2 0 0.461110771 +3 0 0.5262271 +4 0 0.508700669 +5 0 0.7010657 +6 0 0.550729036 +7 0 0.45529598 +8 0 0.432054043 +9 0 0.529151142 +10 0 0.559123456 +11 0 0.485286921 +12 0 0.5826422 +13 0 0.420975477 +14 0 0.490322858 +15 0 0.5079249 +16 0 0.468320668 +17 0 0.6973921 +18 0 0.490462124 +19 0 0.469306976 +20 0 0.434285462 +21 0 0.5687201 +22 9 0.6870739 +23 0 0.5237843 +24 0 0.509592056 +25 0 0.9908741 +26 0 0.501218855 +27 0 0.5525645 +28 0 0.47950533 +29 0 0.554561734 +30 0 0.547651231 +31 0 0.4881632 +32 0 0.511275351 +33 0 0.3691424 +34 0 0.4903799 +35 0 0.5547312 +36 0 0.47143057 +37 0 0.914354265 +38 0 0.5050705 +39 0 0.432126135 +40 0 0.54437536 +41 0 0.435738117 +42 0 0.394098163 +43 0 0.449369878 +44 0 0.557093143 +45 0 0.4455139 +46 0 0.6519489 +47 0 0.524138033 +48 5 0.990943134 +49 0 0.443518072 +50 0 0.463696748 +51 0 0.398020357 +52 0 0.5500833 +53 0 0.4488295 +54 0 0.5536161 +55 0 0.418236881 +56 0 0.409066468 +57 0 0.5022479 +58 0 0.5304069 +59 0 0.446812063 +60 0 0.5700437 +61 6 0.6758252 +62 0 0.457501948 +63 0 0.436834127 +64 0 0.5297206 +65 0 0.500145555 +66 0 0.9938066 +67 0 0.4682963 +68 0 0.422779649 +69 5 0.854525864 +70 1 0.7760329 +71 0 0.5095027 +72 7 0.9708281 +73 0 0.5008225 +74 4 0.6835667 +75 0 0.436794817 +76 0 0.6161679 +77 0 0.4936375 +78 0 0.5253543 +79 0 0.536463261 +80 0 0.467982769 +81 0 0.416288167 +82 0 0.518951237 +83 6 0.5667783 +84 0 0.4754018 +85 0 0.451952815 +86 0 0.4157417 +87 1 0.679460764 +88 0 0.510666132 +89 0 0.4798051 +90 0 0.474666148 +91 0 0.503672063 +92 0 0.483663946 +93 0 0.426248729 +94 0 0.544837534 +95 0 0.454061627 +96 0 0.4768858 +97 0 0.475224346 +98 0 0.4648013 +99 0 0.449731052 +100 0 0.374409467 +101 0 0.512731969 +102 1 0.664328635 +103 0 0.5310194 +104 0 0.449136227 +105 0 0.5033788 +106 0 0.4501728 +107 0 0.499612123 +108 0 0.467777759 +109 0 0.574407458 +110 0 0.520628 +111 0 0.648003161 +112 0 0.3824868 +113 0 0.5464604 +114 0 0.519995868 diff --git a/test/BaselineOutput/SingleDebug/pcaAnomaly/NoNorm-TrainTest-mnistOneClass-out.txt b/test/BaselineOutput/SingleDebug/pcaAnomaly/NoNorm-TrainTest-mnistOneClass-out.txt new file mode 100644 index 00000000000..6ba35663cac --- /dev/null +++ b/test/BaselineOutput/SingleDebug/pcaAnomaly/NoNorm-TrainTest-mnistOneClass-out.txt @@ -0,0 +1,76 @@ +maml.exe TrainTest test=%Data% tr=pcaAnomaly norm=No dout=%Output% data=%Data% out=%Output% seed=1 +Not adding a normalizer. +Not training a calibrator because it is not needed. +50 Top-scored Results +================================================= +Instance Anomaly Score Labeled +69 0.8341 5 +70 0.7756 1 +48 0.7316 5 +72 0.7184 7 +74 0.6831 4 +87 0.6784 1 +61 0.6754 6 +17 0.6731 0 +22 0.6632 9 +102 0.6629 1 +46 0.6559 0 +37 0.6169 0 +76 0.6153 0 +12 0.5829 0 +109 0.5751 0 +60 0.5704 0 +25 0.5697 0 +21 0.5682 0 +83 0.5649 6 +10 0.5587 0 +44 0.556 0 +29 0.5546 0 +35 0.5544 0 +66 0.5534 0 +54 0.5529 0 +27 0.5521 0 +6 0.5503 0 +52 0.5492 0 +30 0.5469 0 +113 0.5458 0 +94 0.5442 0 +40 0.5439 0 +79 0.5364 0 +103 0.5301 0 +64 0.5299 0 +58 0.5296 0 +9 0.5289 0 +3 0.5263 0 +78 0.5259 0 +5 0.5245 0 +47 0.5233 0 +23 0.5228 0 +114 0.5201 0 +110 0.5201 0 +82 0.5188 0 +111 0.5146 0 +101 0.5131 0 +32 0.5108 0 +88 0.5106 0 +24 0.5095 0 +Detection rate at 10 false positives: 1.000000 +Detection rate at 0.01 false positive rate: 0.900000 +Detection rate at 10 positive predictions: 0.900000 +Threshold @K FP: 0.558688 +Threshold @P FPR: 0.655883 +Threshold @NumPos: 0.662917 +AUC: 0.989524 + +OVERALL RESULTS +--------------------------------------- +AUC: 0.989524 (0.0000) +DR @K FP: 1.000000 (0.0000) +DR @P FPR: 0.900000 (0.0000) +DR @NumPos: 0.900000 (0.0000) + +--------------------------------------- +Physical memory usage(MB): %Number% +Virtual memory usage(MB): %Number% +%DateTime% Time elapsed(s): %Number% + diff --git a/test/BaselineOutput/SingleDebug/pcaAnomaly/NoNorm-TrainTest-mnistOneClass-rp.txt b/test/BaselineOutput/SingleDebug/pcaAnomaly/NoNorm-TrainTest-mnistOneClass-rp.txt new file mode 100644 index 00000000000..a80438aae16 --- /dev/null +++ b/test/BaselineOutput/SingleDebug/pcaAnomaly/NoNorm-TrainTest-mnistOneClass-rp.txt @@ -0,0 +1,4 @@ +pcaAnomaly +AUC DR @K FP DR @P FPR DR @NumPos Learner Name Train Dataset Test Dataset Results File Run Time Physical Memory Virtual Memory Command Line Settings +0.989524 1 0.9 0.9 pcaAnomaly %Data% %Data% %Output% 99 0 0 maml.exe TrainTest test=%Data% tr=pcaAnomaly norm=No dout=%Output% data=%Data% out=%Output% seed=1 + diff --git a/test/BaselineOutput/SingleDebug/pcaAnomaly/NoNorm-TrainTest-mnistOneClass.txt b/test/BaselineOutput/SingleDebug/pcaAnomaly/NoNorm-TrainTest-mnistOneClass.txt new file mode 100644 index 00000000000..45a1104275a --- /dev/null +++ b/test/BaselineOutput/SingleDebug/pcaAnomaly/NoNorm-TrainTest-mnistOneClass.txt @@ -0,0 +1,116 @@ +Instance Label Score +0 0 0.4951306 +1 0 0.449331224 +2 0 0.461190224 +3 0 0.526296139 +4 0 0.508475244 +5 0 0.5244605 +6 0 0.550277948 +7 0 0.455368549 +8 0 0.431095362 +9 0 0.528869 +10 0 0.558688045 +11 0 0.4851844 +12 0 0.582877636 +13 0 0.420640141 +14 0 0.489568383 +15 0 0.5076097 +16 0 0.4680955 +17 0 0.6731393 +18 0 0.490120977 +19 0 0.468934834 +20 0 0.4334778 +21 0 0.5682155 +22 9 0.6632366 +23 0 0.5228237 +24 0 0.5094715 +25 0 0.5697219 +26 0 0.501028359 +27 0 0.5520762 +28 0 0.478860557 +29 0 0.5545906 +30 0 0.546905637 +31 0 0.4884955 +32 0 0.5108325 +33 0 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0 0.5036237 +92 0 0.483466953 +93 0 0.426080644 +94 0 0.5442002 +95 0 0.453564852 +96 0 0.4767387 +97 0 0.475078881 +98 0 0.4640796 +99 0 0.4493989 +100 0 0.374264151 +101 0 0.5131056 +102 1 0.66291666 +103 0 0.530139863 +104 0 0.449070573 +105 0 0.5036392 +106 0 0.450024515 +107 0 0.499411643 +108 0 0.467788219 +109 0 0.575076 +110 0 0.520050168 +111 0 0.514583051 +112 0 0.38196522 +113 0 0.5457588 +114 0 0.520133436 diff --git a/test/BaselineOutput/SingleRelease/pcaAnomaly/Default-TrainTest-azureCounterUnlabeled-out.txt b/test/BaselineOutput/SingleRelease/pcaAnomaly/Default-TrainTest-azureCounterUnlabeled-out.txt new file mode 100644 index 00000000000..d0abf79d6f0 --- /dev/null +++ b/test/BaselineOutput/SingleRelease/pcaAnomaly/Default-TrainTest-azureCounterUnlabeled-out.txt @@ -0,0 +1,24 @@ +maml.exe TrainTest test=%Data%\azure-test-unlabeled.txt tr=pcaAnomaly dout=%Output%\pcaAnomaly\Default-TrainTest-azureCounterUnlabeled.txt loader=Text{sep=space col=Name:TX:0 col=Features:~} data=%Data%\azure-train-unlabeled.txt out=%Output%\pcaAnomaly\Default-TrainTest-azureCounterUnlabeled-model.zip seed=1 xf=Expr{col=Label:Name expr={x : na(float(0))}} +Automatically adding a MinMax normalization transform, use 'norm=Warn' or 'norm=No' to turn this behavior off. +Not training a calibrator because it is not needed. +Warning: Encountered 6590 unlabeled instances during testing. +Detection rate at 10 false positives: NaN +Detection rate at 0.01 false positive rate: NaN +Detection rate at 0 positive predictions: NaN +Threshold @K FP: NaN +Threshold @P FPR: NaN +Threshold @NumPos: NaN +AUC: NaN + +OVERALL RESULTS +--------------------------------------- +AUC: NaN (0.0000) +DR @K FP: NaN (0.0000) +DR @P FPR: NaN (0.0000) +DR @NumPos: NaN (0.0000) + +--------------------------------------- +Physical memory usage(MB): %Number% +Virtual memory usage(MB): %Number% +%DateTime% Time elapsed(s): %Number% + diff --git a/test/BaselineOutput/SingleRelease/pcaAnomaly/Default-TrainTest-azureCounterUnlabeled-rp.txt b/test/BaselineOutput/SingleRelease/pcaAnomaly/Default-TrainTest-azureCounterUnlabeled-rp.txt new file mode 100644 index 00000000000..8dc0fad5a71 --- /dev/null +++ b/test/BaselineOutput/SingleRelease/pcaAnomaly/Default-TrainTest-azureCounterUnlabeled-rp.txt @@ -0,0 +1,4 @@ +pcaAnomaly +AUC DR @K FP DR @P FPR DR @NumPos Learner Name Train Dataset Test Dataset Results File Run Time Physical Memory Virtual Memory Command Line Settings +NaN NaN NaN NaN pcaAnomaly %Data%\azure-train-unlabeled.txt %Data%\azure-test-unlabeled.txt %Output%\pcaAnomaly\Default-TrainTest-azureCounterUnlabeled-out.txt 99 0 0 maml.exe TrainTest test=%Data%\azure-test-unlabeled.txt tr=pcaAnomaly dout=%Output%\pcaAnomaly\Default-TrainTest-azureCounterUnlabeled.txt loader=Text{sep=space col=Name:TX:0 col=Features:~} data=%Data%\azure-train-unlabeled.txt out=%Output%\pcaAnomaly\Default-TrainTest-azureCounterUnlabeled-model.zip seed=1 xf=Expr{col=Label:Name expr={x : na(float(0))}} + diff --git a/test/BaselineOutput/SingleRelease/pcaAnomaly/Default-TrainTest-azureCounterUnlabeled-summary.txt b/test/BaselineOutput/SingleRelease/pcaAnomaly/Default-TrainTest-azureCounterUnlabeled-summary.txt new file mode 100644 index 00000000000..52e03c75955 --- /dev/null +++ b/test/BaselineOutput/SingleRelease/pcaAnomaly/Default-TrainTest-azureCounterUnlabeled-summary.txt @@ -0,0 +1,25 @@ +Dimension: 50 +Rank: 20 +Mean vector: 0.788325 0.788341 0.7883744 0.7883848 0.7883936 0.7883905 0.788416 0.7884151 0.7884451 0.7884336 0.7884297 0.7884075 0.7883975 0.7883836 0.7883822 0.7883797 0.7883725 0.7883604 0.7883703 0.7883449 0.7883869 0.7883851 0.7883923 0.788395 0.7883939 0.7883962 0.7884332 0.7884462 0.7884642 0.7884554 0.7884371 0.7883986 0.7883911 0.7883792 0.7883636 0.7883496 0.788327 0.7883144 0.7883062 0.7882917 0.7882761 0.7882612 0.7882473 0.788215 0.7881997 0.7881925 0.7881818 0.788156 0.7881312 0.7880983 +Projected mean 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+2014-07-11_17_55_00.0000000___2014-07-11_22_00_00.0000000 0.05277346 +2014-07-11_18_00_00.0000000___2014-07-11_22_05_00.0000000 0.05909107 +2014-07-11_18_05_00.0000000___2014-07-11_22_10_00.0000000 0.0608733743 +2014-07-11_18_10_00.0000000___2014-07-11_22_15_00.0000000 0.0568289869 +2014-07-11_18_15_00.0000000___2014-07-11_22_20_00.0000000 0.05434453 +2014-07-11_18_20_00.0000000___2014-07-11_22_25_00.0000000 0.05590492 +2014-07-11_18_25_00.0000000___2014-07-11_22_30_00.0000000 0.0602416545 +2014-07-11_18_30_00.0000000___2014-07-11_22_35_00.0000000 0.06299596 +2014-07-11_18_35_00.0000000___2014-07-11_22_40_00.0000000 0.0630844459 +2014-07-11_18_40_00.0000000___2014-07-11_22_45_00.0000000 0.06260439 diff --git a/test/BaselineOutput/SingleRelease/pcaAnomaly/Default-TrainTest-mnistOneClass-out.txt b/test/BaselineOutput/SingleRelease/pcaAnomaly/Default-TrainTest-mnistOneClass-out.txt new file mode 100644 index 00000000000..260d9fb858f --- /dev/null +++ b/test/BaselineOutput/SingleRelease/pcaAnomaly/Default-TrainTest-mnistOneClass-out.txt @@ -0,0 +1,76 @@ +maml.exe TrainTest test=%Data% tr=pcaAnomaly dout=%Output% data=%Data% out=%Output% seed=1 +Automatically adding a MinMax normalization transform, use 'norm=Warn' or 'norm=No' to turn this behavior off. +Not training a calibrator because it is not needed. +50 Top-scored Results +================================================= +Instance Anomaly Score Labeled +66 0.9938 0 +48 0.9909 5 +25 0.9909 0 +72 0.9708 7 +37 0.9144 0 +69 0.8545 5 +70 0.776 1 +5 0.7011 0 +17 0.6974 0 +22 0.6871 9 +74 0.6836 4 +87 0.6795 1 +61 0.6758 6 +102 0.6643 1 +46 0.6519 0 +111 0.648 0 +76 0.6162 0 +12 0.5826 0 +109 0.5744 0 +60 0.57 0 +21 0.5687 0 +83 0.5668 6 +10 0.5591 0 +44 0.5571 0 +35 0.5547 0 +29 0.5546 0 +54 0.5536 0 +27 0.5526 0 +6 0.5507 0 +52 0.5501 0 +30 0.5477 0 +113 0.5465 0 +94 0.5448 0 +40 0.5444 0 +79 0.5365 0 +103 0.531 0 +58 0.5304 0 +64 0.5297 0 +9 0.5292 0 +3 0.5262 0 +78 0.5254 0 +47 0.5241 0 +23 0.5238 0 +110 0.5206 0 +114 0.52 0 +82 0.519 0 +101 0.5127 0 +32 0.5113 0 +88 0.5107 0 +24 0.5096 0 +Detection rate at 10 false positives: 0.900000 +Detection rate at 0.01 false positive rate: 0.100000 +Detection rate at 10 positive predictions: 0.500000 +Threshold @K FP: 0.574407 +Threshold @P FPR: 0.990874 +Threshold @NumPos: 0.687074 +AUC: 0.956190 + +OVERALL RESULTS +--------------------------------------- +AUC: 0.956190 (0.0000) +DR @K FP: 0.900000 (0.0000) +DR @P FPR: 0.100000 (0.0000) +DR @NumPos: 0.500000 (0.0000) + +--------------------------------------- +Physical memory usage(MB): %Number% +Virtual memory usage(MB): %Number% +%DateTime% Time elapsed(s): %Number% + diff --git a/test/BaselineOutput/SingleRelease/pcaAnomaly/Default-TrainTest-mnistOneClass-rp.txt b/test/BaselineOutput/SingleRelease/pcaAnomaly/Default-TrainTest-mnistOneClass-rp.txt new file mode 100644 index 00000000000..4948ad2f4ee --- /dev/null +++ b/test/BaselineOutput/SingleRelease/pcaAnomaly/Default-TrainTest-mnistOneClass-rp.txt @@ -0,0 +1,4 @@ +pcaAnomaly +AUC DR @K FP DR @P FPR DR @NumPos Learner Name Train Dataset Test Dataset Results File Run Time Physical Memory Virtual Memory Command Line Settings +0.95619 0.9 0.1 0.5 pcaAnomaly %Data% %Data% %Output% 99 0 0 maml.exe TrainTest test=%Data% tr=pcaAnomaly dout=%Output% data=%Data% out=%Output% seed=1 + diff --git a/test/BaselineOutput/SingleRelease/pcaAnomaly/Default-TrainTest-mnistOneClass.txt b/test/BaselineOutput/SingleRelease/pcaAnomaly/Default-TrainTest-mnistOneClass.txt new file mode 100644 index 00000000000..8667e96c93d --- /dev/null +++ b/test/BaselineOutput/SingleRelease/pcaAnomaly/Default-TrainTest-mnistOneClass.txt @@ -0,0 +1,116 @@ +Instance Label Score +0 0 0.495893419 +1 0 0.450051278 +2 0 0.461110771 +3 0 0.5262271 +4 0 0.508700669 +5 0 0.7010657 +6 0 0.550729036 +7 0 0.45529598 +8 0 0.432054043 +9 0 0.529151142 +10 0 0.559123456 +11 0 0.485286921 +12 0 0.5826422 +13 0 0.420975477 +14 0 0.490322858 +15 0 0.5079249 +16 0 0.468320668 +17 0 0.6973921 +18 0 0.490462124 +19 0 0.469306976 +20 0 0.434285462 +21 0 0.5687201 +22 9 0.6870739 +23 0 0.5237843 +24 0 0.509592056 +25 0 0.9908741 +26 0 0.501218855 +27 0 0.5525645 +28 0 0.47950533 +29 0 0.554561734 +30 0 0.547651231 +31 0 0.4881632 +32 0 0.511275351 +33 0 0.3691424 +34 0 0.4903799 +35 0 0.5547312 +36 0 0.47143057 +37 0 0.914354265 +38 0 0.5050705 +39 0 0.432126135 +40 0 0.54437536 +41 0 0.435738117 +42 0 0.394098163 +43 0 0.449369878 +44 0 0.557093143 +45 0 0.4455139 +46 0 0.6519489 +47 0 0.524138033 +48 5 0.990943134 +49 0 0.443518072 +50 0 0.463696748 +51 0 0.398020357 +52 0 0.5500833 +53 0 0.4488295 +54 0 0.5536161 +55 0 0.418236881 +56 0 0.409066468 +57 0 0.5022479 +58 0 0.5304069 +59 0 0.446812063 +60 0 0.5700437 +61 6 0.6758252 +62 0 0.457501948 +63 0 0.436834127 +64 0 0.5297206 +65 0 0.500145555 +66 0 0.9938066 +67 0 0.4682963 +68 0 0.422779649 +69 5 0.854525864 +70 1 0.7760329 +71 0 0.5095027 +72 7 0.9708281 +73 0 0.5008225 +74 4 0.6835667 +75 0 0.436794817 +76 0 0.6161679 +77 0 0.4936375 +78 0 0.5253543 +79 0 0.536463261 +80 0 0.467982769 +81 0 0.416288167 +82 0 0.518951237 +83 6 0.5667783 +84 0 0.4754018 +85 0 0.451952815 +86 0 0.4157417 +87 1 0.679460764 +88 0 0.510666132 +89 0 0.4798051 +90 0 0.474666148 +91 0 0.503672063 +92 0 0.483663946 +93 0 0.426248729 +94 0 0.544837534 +95 0 0.454061627 +96 0 0.4768858 +97 0 0.475224346 +98 0 0.4648013 +99 0 0.449731052 +100 0 0.374409467 +101 0 0.512731969 +102 1 0.664328635 +103 0 0.5310194 +104 0 0.449136227 +105 0 0.5033788 +106 0 0.4501728 +107 0 0.499612123 +108 0 0.467777759 +109 0 0.574407458 +110 0 0.520628 +111 0 0.648003161 +112 0 0.3824868 +113 0 0.5464604 +114 0 0.519995868 diff --git a/test/BaselineOutput/SingleRelease/pcaAnomaly/NoNorm-TrainTest-mnistOneClass-out.txt b/test/BaselineOutput/SingleRelease/pcaAnomaly/NoNorm-TrainTest-mnistOneClass-out.txt new file mode 100644 index 00000000000..6ba35663cac --- /dev/null +++ b/test/BaselineOutput/SingleRelease/pcaAnomaly/NoNorm-TrainTest-mnistOneClass-out.txt @@ -0,0 +1,76 @@ +maml.exe TrainTest test=%Data% tr=pcaAnomaly norm=No dout=%Output% data=%Data% out=%Output% seed=1 +Not adding a normalizer. +Not training a calibrator because it is not needed. +50 Top-scored Results +================================================= +Instance Anomaly Score Labeled +69 0.8341 5 +70 0.7756 1 +48 0.7316 5 +72 0.7184 7 +74 0.6831 4 +87 0.6784 1 +61 0.6754 6 +17 0.6731 0 +22 0.6632 9 +102 0.6629 1 +46 0.6559 0 +37 0.6169 0 +76 0.6153 0 +12 0.5829 0 +109 0.5751 0 +60 0.5704 0 +25 0.5697 0 +21 0.5682 0 +83 0.5649 6 +10 0.5587 0 +44 0.556 0 +29 0.5546 0 +35 0.5544 0 +66 0.5534 0 +54 0.5529 0 +27 0.5521 0 +6 0.5503 0 +52 0.5492 0 +30 0.5469 0 +113 0.5458 0 +94 0.5442 0 +40 0.5439 0 +79 0.5364 0 +103 0.5301 0 +64 0.5299 0 +58 0.5296 0 +9 0.5289 0 +3 0.5263 0 +78 0.5259 0 +5 0.5245 0 +47 0.5233 0 +23 0.5228 0 +114 0.5201 0 +110 0.5201 0 +82 0.5188 0 +111 0.5146 0 +101 0.5131 0 +32 0.5108 0 +88 0.5106 0 +24 0.5095 0 +Detection rate at 10 false positives: 1.000000 +Detection rate at 0.01 false positive rate: 0.900000 +Detection rate at 10 positive predictions: 0.900000 +Threshold @K FP: 0.558688 +Threshold @P FPR: 0.655883 +Threshold @NumPos: 0.662917 +AUC: 0.989524 + +OVERALL RESULTS +--------------------------------------- +AUC: 0.989524 (0.0000) +DR @K FP: 1.000000 (0.0000) +DR @P FPR: 0.900000 (0.0000) +DR @NumPos: 0.900000 (0.0000) + +--------------------------------------- +Physical memory usage(MB): %Number% +Virtual memory usage(MB): %Number% +%DateTime% Time elapsed(s): %Number% + diff --git a/test/BaselineOutput/SingleRelease/pcaAnomaly/NoNorm-TrainTest-mnistOneClass-rp.txt b/test/BaselineOutput/SingleRelease/pcaAnomaly/NoNorm-TrainTest-mnistOneClass-rp.txt new file mode 100644 index 00000000000..a80438aae16 --- /dev/null +++ b/test/BaselineOutput/SingleRelease/pcaAnomaly/NoNorm-TrainTest-mnistOneClass-rp.txt @@ -0,0 +1,4 @@ +pcaAnomaly +AUC DR @K FP DR @P FPR DR @NumPos Learner Name Train Dataset Test Dataset Results File Run Time Physical Memory Virtual Memory Command Line Settings +0.989524 1 0.9 0.9 pcaAnomaly %Data% %Data% %Output% 99 0 0 maml.exe TrainTest test=%Data% tr=pcaAnomaly norm=No dout=%Output% data=%Data% out=%Output% seed=1 + diff --git a/test/BaselineOutput/SingleRelease/pcaAnomaly/NoNorm-TrainTest-mnistOneClass.txt b/test/BaselineOutput/SingleRelease/pcaAnomaly/NoNorm-TrainTest-mnistOneClass.txt new file mode 100644 index 00000000000..45a1104275a --- /dev/null +++ b/test/BaselineOutput/SingleRelease/pcaAnomaly/NoNorm-TrainTest-mnistOneClass.txt @@ -0,0 +1,116 @@ +Instance Label Score +0 0 0.4951306 +1 0 0.449331224 +2 0 0.461190224 +3 0 0.526296139 +4 0 0.508475244 +5 0 0.5244605 +6 0 0.550277948 +7 0 0.455368549 +8 0 0.431095362 +9 0 0.528869 +10 0 0.558688045 +11 0 0.4851844 +12 0 0.582877636 +13 0 0.420640141 +14 0 0.489568383 +15 0 0.5076097 +16 0 0.4680955 +17 0 0.6731393 +18 0 0.490120977 +19 0 0.468934834 +20 0 0.4334778 +21 0 0.5682155 +22 9 0.6632366 +23 0 0.5228237 +24 0 0.5094715 +25 0 0.5697219 +26 0 0.501028359 +27 0 0.5520762 +28 0 0.478860557 +29 0 0.5545906 +30 0 0.546905637 +31 0 0.4884955 +32 0 0.5108325 +33 0 0.368852228 +34 0 0.4903543 +35 0 0.554350555 +36 0 0.471144259 +37 0 0.61691314 +38 0 0.5044613 +39 0 0.432231337 +40 0 0.543896258 +41 0 0.4354026 +42 0 0.393868625 +43 0 0.4491824 +44 0 0.5560113 +45 0 0.44493416 +46 0 0.6558832 +47 0 0.523334861 +48 5 0.731561244 +49 0 0.44316262 +50 0 0.463617116 +51 0 0.397496134 +52 0 0.549204767 +53 0 0.449091375 +54 0 0.5528623 +55 0 0.417973459 +56 0 0.409094721 +57 0 0.501895368 +58 0 0.5295681 +59 0 0.446579576 +60 0 0.5703988 +61 6 0.6754471 +62 0 0.4571285 +63 0 0.436919063 +64 0 0.529872537 +65 0 0.499967635 +66 0 0.553377748 +67 0 0.467494756 +68 0 0.422788024 +69 5 0.8340921 +70 1 0.7755893 +71 0 0.509331048 +72 7 0.7183694 +73 0 0.501034141 +74 4 0.6831258 +75 0 0.4366773 +76 0 0.615255535 +77 0 0.493479639 +78 0 0.5258877 +79 0 0.5363522 +80 0 0.467402875 +81 0 0.416329473 +82 0 0.518832862 +83 6 0.564920068 +84 0 0.475099474 +85 0 0.45117566 +86 0 0.4157634 +87 1 0.678395748 +88 0 0.510561645 +89 0 0.480021447 +90 0 0.474439472 +91 0 0.5036237 +92 0 0.483466953 +93 0 0.426080644 +94 0 0.5442002 +95 0 0.453564852 +96 0 0.4767387 +97 0 0.475078881 +98 0 0.4640796 +99 0 0.4493989 +100 0 0.374264151 +101 0 0.5131056 +102 1 0.66291666 +103 0 0.530139863 +104 0 0.449070573 +105 0 0.5036392 +106 0 0.450024515 +107 0 0.499411643 +108 0 0.467788219 +109 0 0.575076 +110 0 0.520050168 +111 0 0.514583051 +112 0 0.38196522 +113 0 0.5457588 +114 0 0.520133436 diff --git a/test/Microsoft.ML.Core.Tests/UnitTests/TestEntryPoints.cs b/test/Microsoft.ML.Core.Tests/UnitTests/TestEntryPoints.cs index 5249d59acec..60e79a943d5 100644 --- a/test/Microsoft.ML.Core.Tests/UnitTests/TestEntryPoints.cs +++ b/test/Microsoft.ML.Core.Tests/UnitTests/TestEntryPoints.cs @@ -15,6 +15,7 @@ using Microsoft.ML.Runtime.FastTree; using Microsoft.ML.Runtime.Internal.Utilities; using Microsoft.ML.Runtime.Learners; +using Microsoft.ML.Runtime.PCA; using Newtonsoft.Json; using Newtonsoft.Json.Linq; using Xunit; @@ -2612,6 +2613,145 @@ public void EntryPointNodeSchedulingFields() } } + [Fact] + public void EntryPointLinearPredictorSummary() + { + var dataPath = GetDataPath("breast-cancer-withheader.txt"); + var inputFile = new SimpleFileHandle(Env, dataPath, false, false); + + /*var dataView = ImportTextData.ImportText(Env, new ImportTextData.Input + { InputFile = inputFile, CustomSchema = "header+ col=Label:0 col=Features:Num:1-9"*/ + var dataView = ImportTextData.TextLoader(Env, new ImportTextData.LoaderInput() + { + Arguments = + { + SeparatorChars = new []{'\t' }, + HasHeader = true, + Column = new[] + { + new TextLoader.Column() + { + Name = "Label", + Source = new [] { new TextLoader.Range() { Min = 0, Max = 0} }, + }, + + new TextLoader.Column() + { + Name = "Features", + Source = new [] { new TextLoader.Range() { Min = 1, Max = 9} }, + Type = Runtime.Data.DataKind.Num + } + } + }, + + InputFile = inputFile, + }).Data; + + var lrInput = new LogisticRegression.Arguments + { + TrainingData = dataView, + NormalizeFeatures = NormalizeOption.Yes, + NumThreads = 1, + // REVIEW: this depends on MKL library which is not available + ShowTrainingStats = false + }; + var model = LogisticRegression.TrainBinary(Env, lrInput).PredictorModel; + + var mcLrInput = new MulticlassLogisticRegression.Arguments + { + TrainingData = dataView, + NormalizeFeatures = NormalizeOption.Yes, + NumThreads = 1, + ShowTrainingStats = true + }; + var mcModel = LogisticRegression.TrainMultiClass(Env, mcLrInput).PredictorModel; + + var output = SummarizePredictor.Summarize(Env, + new SummarizePredictor.Input() { PredictorModel = model }); + + var mcOutput = SummarizePredictor.Summarize(Env, + new SummarizePredictor.Input() { PredictorModel = mcModel }); + + using (var ch = Env.Register("LinearPredictorSummary").Start("Save Data Views")) + { + var weights = DeleteOutputPath(@"../Common/EntryPoints", "lr-weights.txt"); + var saver = Env.CreateSaver("Text"); + using (var file = Env.CreateOutputFile(weights)) + DataSaverUtils.SaveDataView(ch, saver, output.Summary, file); + + // REVIEW: enable this once MKL library is available + // var stats = DeleteOutputPath(@"../Common/EntryPoints", "lr-stats.txt"); + // using (var file = Env.CreateOutputFile(stats)) + // DataSaverUtils.SaveDataView(ch, saver, output.Stats, file); + + weights = DeleteOutputPath(@"../Common/EntryPoints", "mc-lr-weights.txt"); + using (var file = Env.CreateOutputFile(weights)) + DataSaverUtils.SaveDataView(ch, saver, mcOutput.Summary, file); + + var stats = DeleteOutputPath(@"../Common/EntryPoints", "mc-lr-stats.txt"); + using (var file = Env.CreateOutputFile(stats)) + DataSaverUtils.SaveDataView(ch, saver, mcOutput.Stats, file); + + ch.Done(); + } + + CheckEquality(@"../Common/EntryPoints", "lr-weights.txt"); + // CheckEquality(@"../Common/EntryPoints", "lr-stats.txt"); + CheckEquality(@"../Common/EntryPoints", "mc-lr-weights.txt"); + CheckEquality(@"../Common/EntryPoints", "mc-lr-stats.txt"); + Done(); + } + + [Fact] + public void EntryPointPcaPredictorSummary() + { + var dataPath = GetDataPath("MNIST.Train.0-class.tiny.txt"); + using (var inputFile = new SimpleFileHandle(Env, dataPath, false, false)) + { + var dataView = ImportTextData.TextLoader(Env, new ImportTextData.LoaderInput() + { + Arguments = + { + SeparatorChars = new []{'\t' }, + HasHeader = false, + Column = new[] + { + new TextLoader.Column() + { + Name = "Features", + Source = new [] { new TextLoader.Range() { Min = 1, Max = 784} }, + Type = Runtime.Data.DataKind.R4 + } + } + }, + + InputFile = inputFile, + }).Data; + + var pcaInput = new RandomizedPcaTrainer.Arguments + { + TrainingData = dataView, + }; + var model = RandomizedPcaTrainer.TrainPcaAnomaly(Env, pcaInput).PredictorModel; + + var output = SummarizePredictor.Summarize(Env, + new SummarizePredictor.Input() { PredictorModel = model }); + + using (var ch = Env.Register("PcaPredictorSummary").Start("Save Data Views")) + { + var weights = DeleteOutputPath(@"../Common/EntryPoints", "pca-weights.txt"); + var saver = Env.CreateSaver("Text"); + using (var file = Env.CreateOutputFile(weights)) + DataSaverUtils.SaveDataView(ch, saver, output.Summary, file); + + ch.Done(); + } + + CheckEquality(@"../Common/EntryPoints", "pca-weights.txt"); + Done(); + } + } + [Fact] public void EntryPointPrepareLabelConvertPredictedLabel() { diff --git a/test/Microsoft.ML.Predictor.Tests/TestPredictors.cs b/test/Microsoft.ML.Predictor.Tests/TestPredictors.cs index 09440d843f5..91513e0e743 100644 --- a/test/Microsoft.ML.Predictor.Tests/TestPredictors.cs +++ b/test/Microsoft.ML.Predictor.Tests/TestPredictors.cs @@ -1215,8 +1215,7 @@ public void NnConfigTests() Done(); } -#if !CORECLR - [Fact(Skip = "Need CoreTLC specific baseline update")] + [Fact] [TestCategory("Anomaly")] public void PcaAnomalyTest() { @@ -1225,11 +1224,12 @@ public void PcaAnomalyTest() // REVIEW: This next test was misbehaving in a strange way that seems to have gone away // mysteriously (bad build?). - Run_TrainTest(TestLearners.PCAAnomalyDefault, TestDatasets.azureCounterUnlabeled, summary: true); + // REVIEW: enable this test afte Expr transform is available. Currently maml breaks on xf=Expr setting + // Run_TrainTest(TestLearners.PCAAnomalyDefault, TestDatasets.azureCounterUnlabeled, summary: true); Done(); } -#endif + /// ///A test for one-class svm (libsvm wrapper) /// diff --git a/test/Microsoft.ML.TestFramework/Datasets.cs b/test/Microsoft.ML.TestFramework/Datasets.cs index c65bd3a4448..76bea677b61 100644 --- a/test/Microsoft.ML.TestFramework/Datasets.cs +++ b/test/Microsoft.ML.TestFramework/Datasets.cs @@ -593,8 +593,8 @@ public static class TestDatasets public static TestDataset mnistOneClass = new TestDataset() { name = "mnistOneClass", - trainFilename = @"..\OneClass\MNIST.Train.0-class.tiny.txt", - testFilename = @"..\OneClass\MNIST.Test.tiny.txt", + trainFilename = @"MNIST.Train.0-class.tiny.txt", + testFilename = @"MNIST.Test.tiny.txt", settings = "" }; diff --git a/test/Microsoft.ML.TestFramework/Learners.cs b/test/Microsoft.ML.TestFramework/Learners.cs index 0fcced53e5d..9b64c0ac741 100644 --- a/test/Microsoft.ML.TestFramework/Learners.cs +++ b/test/Microsoft.ML.TestFramework/Learners.cs @@ -589,19 +589,18 @@ public static PredictorAndArgs DssmDefault(int qryFeaturesCount, int docFeatures Trainer = new SubComponent("OneClassSVM", "ker=PolynomialKernel {b=1}"), }; - /* public static PredictorAndArgs PCAAnomalyDefault = new PredictorAndArgs { - Trainer = new SubComponent(RandomizedPcaTrainer.LoadNameValue), + Trainer = new SubComponent("pcaAnomaly"), Tag = "Default" }; public static PredictorAndArgs PCAAnomalyNoNorm = new PredictorAndArgs { - Trainer = new SubComponent(RandomizedPcaTrainer.LoadNameValue), + Trainer = new SubComponent("pcaAnomaly"), MamlArgs = new[] { "norm=no" }, Tag = "NoNorm" - };*/ + }; public static PredictorAndArgs LDSVMDefault = new PredictorAndArgs { diff --git a/test/data/MNIST.Test.tiny.txt b/test/data/MNIST.Test.tiny.txt new file mode 100644 index 00000000000..7cc99f71d18 --- /dev/null +++ b/test/data/MNIST.Test.tiny.txt @@ -0,0 +1,115 @@ +0 784 153:38 154:195 155:228 156:64 157:82 158:156 159:21 180:41 181:224 182:253 183:254 184:249 185:212 186:253 187:208 188:20 207:137 208:203 209:253 210:227 211:208 212:253 213:112 214:213 215:253 216:205 217:9 234:135 235:249 236:253 237:167 238:41 239:151 240:182 241:21 242:103 243:246 244:254 245:63 261:98 262:254 263:253 264:207 265:35 270:6 271:79 272:189 273:237 274:58 288:45 289:254 290:255 291:254 292:36 300:106 301:254 302:185 315:21 316:224 317:253 318:254 319:130 320:3 328:5 329:152 330:224 331:12 343:37 344:253 345:253 346:159 347:9 357:68 358:247 359:46 371:76 372:253 373:253 385:61 386:232 387:24 399:159 400:253 401:253 413:113 414:240 415:35 427:186 428:254 429:228 441:55 442:243 443:39 454:51 455:250 456:253 457:78 468:42 469:233 470:216 482:55 483:253 484:253 485:72 496:119 497:253 498:171 510:32 511:231 512:253 513:85 523:40 524:234 525:253 526:55 539:62 540:253 541:253 550:40 551:181 552:254 553:181 554:11 567:27 568:212 569:254 570:170 571:5 578:167 579:254 580:234 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414:230 415:23 426:124 427:254 428:254 429:53 439:5 440:114 441:254 442:169 453:14 454:230 455:254 456:155 467:59 468:254 469:254 470:49 481:73 482:254 483:232 484:27 494:69 495:240 496:250 497:117 498:2 508:23 509:208 510:254 511:102 521:107 522:240 523:254 524:158 536:60 537:254 538:254 539:19 547:5 548:128 549:247 550:254 551:151 564:59 565:254 566:187 567:3 574:35 575:203 576:254 577:228 578:99 592:128 593:254 594:175 601:61 602:225 603:254 604:229 605:43 620:156 621:254 622:175 626:19 627:108 628:190 629:249 630:255 631:213 632:43 648:156 649:254 650:236 651:106 652:99 653:159 654:222 655:254 656:254 657:254 658:133 659:9 +0 784 131:8 132:43 133:39 156:43 157:85 158:173 159:201 160:252 161:247 162:169 163:18 182:22 183:180 184:242 185:252 186:252 187:253 188:245 189:242 190:247 191:83 209:45 210:253 211:252 212:252 213:252 214:252 215:84 216:56 217:101 218:252 219:95 237:177 238:253 239:252 240:252 241:155 242:42 245:110 246:252 247:164 263:39 264:69 265:236 266:254 267:253 268:214 273:39 274:253 275:129 290:64 291:247 292:252 293:252 294:253 295:252 296:82 301:171 302:226 303:24 317:93 318:239 319:252 320:226 321:86 322:232 323:231 324:27 328:43 329:234 330:199 331:7 343:16 344:108 345:218 346:252 347:221 348:119 349:14 356:155 357:252 358:210 359:14 370:9 371:186 372:252 373:253 374:217 375:29 383:36 384:242 385:252 386:101 398:101 399:253 400:253 401:247 402:97 410:18 411:210 412:253 413:214 426:188 427:252 428:252 429:131 438:185 439:253 440:252 441:91 453:123 454:251 455:226 456:129 457:9 463:8 464:128 465:232 466:249 467:179 468:91 469:2 480:11 481:171 482:252 483:210 484:14 490:38 491:171 492:252 493:252 494:199 495:35 508:130 509:252 510:244 511:66 516:27 517:194 518:236 519:252 520:252 521:182 522:24 536:193 537:253 538:127 541:8 542:43 543:139 544:218 545:253 546:255 547:142 548:53 564:148 565:252 566:212 567:85 568:173 569:201 570:252 571:252 572:252 573:182 574:107 575:16 592:139 593:252 594:252 595:252 596:252 597:253 598:245 599:178 600:100 601:4 620:14 621:184 622:252 623:252 624:226 625:199 626:56 649:14 650:42 651:42 652:24 653:18 diff --git a/test/data/breast-cancer-withheader.txt b/test/data/breast-cancer-withheader.txt new file mode 100644 index 00000000000..fab10fb7daa --- /dev/null +++ b/test/data/breast-cancer-withheader.txt @@ -0,0 +1,701 @@ +// Number of Instances: 699 (as of 15 July 1992) +// Number of Attributes: 10 plus the class attribute +// Attribute Information: +// +// # Attribute Domain +// -- ----------------------------------------- +// 1. Label 0=benign, 1=malignant +// 2. Clump Thickness 1 - 10 +// 3. Uniformity of Cell Size 1 - 10 +// 4. Uniformity of Cell Shape 1 - 10 +// 5. Marginal Adhesion 1 - 10 +// 6. Single Epithelial Cell Size 1 - 10 +// 7. Bare Nuclei 1 - 10 +// 8. Bland Chromatin 1 - 10 +// 9. Normal Nucleoli 1 - 10 +// 10. 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