208 references to Const
Microsoft.ML.Core.Tests (50)
UnitTests\ScoreSchemaTest.cs (8)
41AnnotationUtils.Const.ScoreColumnKind.SequenceClassification, keyNames); 48Assert.Equal(AnnotationUtils.Const.ScoreValueKind.PredictedLabel, scoreColumn.Name); 82Assert.Equal(AnnotationUtils.Const.ScoreColumnKind.SequenceClassification, scoreColumnKindValue.ToString()); 87Assert.Equal(AnnotationUtils.Const.ScoreValueKind.PredictedLabel, scoreValueKindValue.ToString()); 98AnnotationUtils.Const.ScoreColumnKind.SequenceClassification, keyNames); 105Assert.Equal(AnnotationUtils.Const.ScoreValueKind.PredictedLabel, scoreColumn.Name); 129Assert.Equal(AnnotationUtils.Const.ScoreColumnKind.SequenceClassification, scoreColumnKindValue.ToString()); 134Assert.Equal(AnnotationUtils.Const.ScoreValueKind.PredictedLabel, scoreValueKindValue.ToString());
UnitTests\TestEntryPoints.cs (42)
438(AnnotationUtils.Const.ScoreValueKind.Score + i).ToString(), 439AnnotationUtils.Const.ScoreValueKind.Score) 442individualScores[i] = new ColumnSelectingTransformer(Env, null, new[] { AnnotationUtils.Const.ScoreValueKind.Score }).Transform(individualScores[i]); 472var scoreColumn = curs1.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 476scoreColumn = curs2.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 480scoreColumn = curs3.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 487scoreColumn = curs4.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score + i); 1631var scoreCol = binaryScored.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1637Assert.True(ReadOnlyMemoryUtils.EqualsStr(AnnotationUtils.Const.ScoreColumnKind.BinaryClassification, kind), 1638$"Binary ensemble scored data column type should be '{AnnotationUtils.Const.ScoreColumnKind.BinaryClassification}', but is instead '{kind}'"); 1640scoreCol = regressionScored.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1645Assert.True(ReadOnlyMemoryUtils.EqualsStr(AnnotationUtils.Const.ScoreColumnKind.Regression, kind), 1646$"Regression ensemble scored data column type should be '{AnnotationUtils.Const.ScoreColumnKind.Regression}', but is instead '{kind}'"); 1648scoreCol = anomalyScored.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1653Assert.True(ReadOnlyMemoryUtils.EqualsStr(AnnotationUtils.Const.ScoreColumnKind.AnomalyDetection, kind), 1654$"Anomaly detection ensemble scored data column type should be '{AnnotationUtils.Const.ScoreColumnKind.AnomalyDetection}', but is instead '{kind}'"); 1684var scoreColumn = curs0.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1687scoreColumn = curs1.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1690scoreColumn = curs2.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1693scoreColumn = curs3.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1696scoreColumn = curs4.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1699scoreColumn = cursReg.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1702scoreColumn = cursBin.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1705scoreColumn = cursBinCali.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1708scoreColumn = cursSaved.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1711scoreColumn = cursAnom.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1910var scoreColumn = curs0.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1913scoreColumn = curs1.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1916scoreColumn = curs2.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1919scoreColumn = curs3.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1922scoreColumn = curs4.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1925scoreColumn = cursReg.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1928scoreColumn = cursBin.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1931scoreColumn = cursBinCali.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1934scoreColumn = cursSaved.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 2068var scoreColumn = curs0.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 2071scoreColumn = curs1.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 2074scoreColumn = curs2.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 2077scoreColumn = curs3.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 2080scoreColumn = curs4.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 2083scoreColumn = curs.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 2086scoreColumn = cursSaved.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score);
Microsoft.ML.Data (121)
Evaluators\AnomalyDetectionEvaluator.cs (6)
97var score = schema.GetUniqueColumn(AnnotationUtils.Const.ScoreValueKind.Score); 507var score = schema.GetUniqueColumn(AnnotationUtils.Const.ScoreValueKind.Score); 598RoleMappedSchema.CreatePair(AnnotationUtils.Const.ScoreValueKind.Score, score), 599RoleMappedSchema.CreatePair(AnnotationUtils.Const.ScoreValueKind.PredictedLabel, predictedLabel)); 652: base(args, env, AnnotationUtils.Const.ScoreColumnKind.AnomalyDetection, "AnomalyDetectionMamlEvaluator") 797AnnotationUtils.Const.ScoreColumnKind.AnomalyDetection);
Evaluators\BinaryClassifierEvaluator.cs (23)
128var score = schema.GetUniqueColumn(AnnotationUtils.Const.ScoreValueKind.Score); 141var prob = schema.GetColumns(AnnotationUtils.Const.ScoreValueKind.Probability); 161var prob = schema.GetColumns(AnnotationUtils.Const.ScoreValueKind.Probability); 195var scoreInfo = schema.GetUniqueColumn(AnnotationUtils.Const.ScoreValueKind.Score); 197var probInfos = schema.GetColumns(AnnotationUtils.Const.ScoreValueKind.Probability); 625var score = schema.GetUniqueColumn(AnnotationUtils.Const.ScoreValueKind.Score); 632var prob = schema.GetColumns(new RoleMappedSchema.ColumnRole(AnnotationUtils.Const.ScoreValueKind.Probability)); 820RoleMappedSchema.CreatePair(AnnotationUtils.Const.ScoreValueKind.Score, score), 821RoleMappedSchema.CreatePair(AnnotationUtils.Const.ScoreValueKind.Probability, probability), 822RoleMappedSchema.CreatePair(AnnotationUtils.Const.ScoreValueKind.PredictedLabel, predictedLabel)); 868RoleMappedSchema.CreatePair(AnnotationUtils.Const.ScoreValueKind.Score, score), 869RoleMappedSchema.CreatePair(AnnotationUtils.Const.ScoreValueKind.Probability, probability), 870RoleMappedSchema.CreatePair(AnnotationUtils.Const.ScoreValueKind.PredictedLabel, predictedLabel)); 948RoleMappedSchema.CreatePair(AnnotationUtils.Const.ScoreValueKind.Score, score), 949RoleMappedSchema.CreatePair(AnnotationUtils.Const.ScoreValueKind.PredictedLabel, predictedLabel)); 994RoleMappedSchema.CreatePair(AnnotationUtils.Const.ScoreValueKind.Score, score), 995RoleMappedSchema.CreatePair(AnnotationUtils.Const.ScoreValueKind.PredictedLabel, predictedLabel)); 1323: base(args, env, AnnotationUtils.Const.ScoreColumnKind.BinaryClassification, "BinaryClassifierMamlEvaluator") 1345AnnotationUtils.Const.ScoreColumnKind.BinaryClassification); 1349scoreCol.Index, AnnotationUtils.Const.ScoreValueKind.Probability, NumberDataViewType.Single.Equals); 1351cols = AnnotationUtils.Prepend(cols, RoleMappedSchema.CreatePair(AnnotationUtils.Const.ScoreValueKind.Probability, probCol.Value.Name)); 1480AnnotationUtils.Const.ScoreColumnKind.BinaryClassification); 1483scoreCol.Index, AnnotationUtils.Const.ScoreValueKind.Probability, NumberDataViewType.Single.Equals);
Evaluators\ClusteringEvaluator.cs (6)
71roles.Add(RoleMappedSchema.CreatePair(AnnotationUtils.Const.ScoreValueKind.Score, score)); 106var score = schema.GetUniqueColumn(AnnotationUtils.Const.ScoreValueKind.Score); 138var score = schema.GetUniqueColumn(AnnotationUtils.Const.ScoreValueKind.Score); 147var scoreInfo = schema.GetUniqueColumn(AnnotationUtils.Const.ScoreValueKind.Score); 499var score = schema.GetUniqueColumn(AnnotationUtils.Const.ScoreValueKind.Score); 785: base(args, env, AnnotationUtils.Const.ScoreColumnKind.Clustering, "ClusteringMamlEvaluator")
Evaluators\EvaluatorBase.cs (1)
93var score = schema.GetUniqueColumn(AnnotationUtils.Const.ScoreValueKind.Score);
Evaluators\EvaluatorUtils.cs (9)
41{ AnnotationUtils.Const.ScoreColumnKind.BinaryClassification, env => new BinaryClassifierMamlEvaluator(env, new BinaryClassifierMamlEvaluator.Arguments()) }, 42{ AnnotationUtils.Const.ScoreColumnKind.MulticlassClassification, env => new MulticlassClassificationMamlEvaluator(env, new MulticlassClassificationMamlEvaluator.Arguments()) }, 43{ AnnotationUtils.Const.ScoreColumnKind.Regression, env => new RegressionMamlEvaluator(env, new RegressionMamlEvaluator.Arguments()) }, 44{ AnnotationUtils.Const.ScoreColumnKind.MultiOutputRegression, env => new MultiOutputRegressionMamlEvaluator(env, new MultiOutputRegressionMamlEvaluator.Arguments()) }, 45{ AnnotationUtils.Const.ScoreColumnKind.QuantileRegression, env => new QuantileRegressionMamlEvaluator(env, new QuantileRegressionMamlEvaluator.Arguments()) }, 46{ AnnotationUtils.Const.ScoreColumnKind.Ranking, env => new RankingMamlEvaluator(env, new RankingMamlEvaluator.Arguments()) }, 47{ AnnotationUtils.Const.ScoreColumnKind.Clustering, env => new ClusteringMamlEvaluator(env, new ClusteringMamlEvaluator.Arguments()) }, 48{ AnnotationUtils.Const.ScoreColumnKind.AnomalyDetection, env => new AnomalyDetectionMamlEvaluator(env, new AnomalyDetectionMamlEvaluator.Arguments()) } 109string valueKind = AnnotationUtils.Const.ScoreValueKind.Score, string defName = null)
Evaluators\MamlEvaluator.cs (1)
139yield return RoleMappedSchema.CreatePair(AnnotationUtils.Const.ScoreValueKind.Score, scoreCol.Name);
Evaluators\MulticlassClassificationEvaluator.cs (9)
77var score = schema.GetUniqueColumn(AnnotationUtils.Const.ScoreValueKind.Score); 89var score = schema.GetUniqueColumn(AnnotationUtils.Const.ScoreValueKind.Score); 100var scoreInfo = schema.GetUniqueColumn(AnnotationUtils.Const.ScoreValueKind.Score); 111var score = schema.GetColumns(AnnotationUtils.Const.ScoreValueKind.Score); 123var scoreInfo = schema.GetUniqueColumn(AnnotationUtils.Const.ScoreValueKind.Score); 417var score = schema.GetUniqueColumn(AnnotationUtils.Const.ScoreValueKind.Score); 559RoleMappedSchema.CreatePair(AnnotationUtils.Const.ScoreValueKind.Score, score), 560RoleMappedSchema.CreatePair(AnnotationUtils.Const.ScoreValueKind.PredictedLabel, predictedLabel)); 898: base(args, env, AnnotationUtils.Const.ScoreColumnKind.MulticlassClassification, "MultiClassMamlEvaluator")
Evaluators\MultiOutputRegressionEvaluator.cs (8)
53var scoreCol = schema.GetUniqueColumn(AnnotationUtils.Const.ScoreValueKind.Score); 60var score = schema.GetUniqueColumn(AnnotationUtils.Const.ScoreValueKind.Score); 72var score = schema.GetUniqueColumn(AnnotationUtils.Const.ScoreValueKind.Score); 307var score = schema.GetUniqueColumn(AnnotationUtils.Const.ScoreValueKind.Score); 585dst = AnnotationUtils.Const.ScoreColumnKind.MultiOutputRegression.AsMemory(); 590dst = AnnotationUtils.Const.ScoreValueKind.Score.AsMemory(); 630: base(args, env, AnnotationUtils.Const.ScoreColumnKind.MultiOutputRegression, "RegressionMamlEvaluator") 651AnnotationUtils.Const.ScoreColumnKind.MultiOutputRegression);
Evaluators\QuantileRegressionEvaluator.cs (5)
45var scoreInfo = schema.GetUniqueColumn(AnnotationUtils.Const.ScoreValueKind.Score); 58var score = schema.GetUniqueColumn(AnnotationUtils.Const.ScoreValueKind.Score); 70var scoreInfo = schema.GetUniqueColumn(AnnotationUtils.Const.ScoreValueKind.Score); 478: base(args, env, AnnotationUtils.Const.ScoreColumnKind.QuantileRegression, "QuantilsRegressionMamlEvaluator") 547AnnotationUtils.Const.ScoreColumnKind.QuantileRegression);
Evaluators\RankingEvaluator.cs (6)
104var scoreCol = schema.GetUniqueColumn(AnnotationUtils.Const.ScoreValueKind.Score); 138var scoreInfo = data.Schema.GetUniqueColumn(AnnotationUtils.Const.ScoreValueKind.Score); 262RoleMappedSchema.CreatePair(AnnotationUtils.Const.ScoreValueKind.Score, score)); 458var score = schema.GetUniqueColumn(AnnotationUtils.Const.ScoreValueKind.Score); 878: base(args, env, AnnotationUtils.Const.ScoreColumnKind.Ranking, "RankerMamlEvaluator") 950AnnotationUtils.Const.ScoreColumnKind.Ranking);
Evaluators\RegressionEvaluator.cs (5)
57var score = schema.GetUniqueColumn(AnnotationUtils.Const.ScoreValueKind.Score); 75var scoreInfo = schema.GetUniqueColumn(AnnotationUtils.Const.ScoreValueKind.Score); 181RoleMappedSchema.CreatePair(AnnotationUtils.Const.ScoreValueKind.Score, score)); 352: base(args, env, AnnotationUtils.Const.ScoreColumnKind.Regression, "RegressionMamlEvaluator") 369AnnotationUtils.Const.ScoreColumnKind.Regression);
Evaluators\RegressionEvaluatorBase.cs (1)
205var score = schema.GetUniqueColumn(AnnotationUtils.Const.ScoreValueKind.Score);
Prediction\Calibrator.cs (2)
666if (!_predictor.OutputSchema.TryGetColumnIndex(AnnotationUtils.Const.ScoreValueKind.Score, out _scoreCol)) 881if (!outputSchema.TryGetColumnIndex(AnnotationUtils.Const.ScoreValueKind.Score, out scoreCol))
Scorers\BinaryClassifierScorer.cs (3)
17"bin", AnnotationUtils.Const.ScoreColumnKind.BinaryClassification)] 97if (!mapper.OutputSchema.TryGetColumnIndex(AnnotationUtils.Const.ScoreValueKind.Score, out scoreIdx)) 127: base(args, env, data, WrapIfNeeded(env, mapper, trainSchema), trainSchema, RegistrationName, AnnotationUtils.Const.ScoreColumnKind.BinaryClassification,
Scorers\ClusteringScorer.cs (3)
15"Clustering Scorer", "ClusteringScorer", AnnotationUtils.Const.ScoreColumnKind.Clustering)] 46: base(args, env, data, mapper, trainSchema, RegistrationName, AnnotationUtils.Const.ScoreColumnKind.Clustering, 47AnnotationUtils.Const.ScoreValueKind.Score, OutputTypeMatches, GetPredColType)
Scorers\FeatureContributionCalculation.cs (2)
20typeof(SignatureDataScorer), "Feature Contribution Scorer", "fcc", "fct", "FeatureContributionCalculationScorer", AnnotationUtils.Const.ScoreColumnKind.FeatureContribution)] 23typeof(SignatureBindableMapper), "Feature Contribution Mapper", "fcc", "fct", AnnotationUtils.Const.ScoreColumnKind.FeatureContribution)]
Scorers\MulticlassClassificationScorer.cs (7)
22"MultiClass", AnnotationUtils.Const.ScoreColumnKind.MulticlassClassification)] 39public string ScoreColumnName = AnnotationUtils.Const.ScoreValueKind.Score; 296bool result = mapper.OutputSchema.TryGetColumnIndex(AnnotationUtils.Const.ScoreValueKind.Score, out scoreIdx); 298throw env.ExceptParam(nameof(mapper), "Mapper did not have a '{0}' column", AnnotationUtils.Const.ScoreValueKind.Score); 456var scoreCol = outSchema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 457if (!outSchema.TryGetColumnIndex(AnnotationUtils.Const.ScoreValueKind.Score, out scoreIdx)) 513: base(args, env, data, WrapIfNeeded(env, mapper, trainSchema), trainSchema, RegistrationName, AnnotationUtils.Const.ScoreColumnKind.MulticlassClassification,
Scorers\PredictedLabelScorerBase.cs (2)
28public string ThresholdColumn = AnnotationUtils.Const.ScoreValueKind.Score; 256dst = AnnotationUtils.Const.ScoreValueKind.PredictedLabel.AsMemory();
Scorers\PredictionTransformer.cs (2)
485string scoreColumn = AnnotationUtils.Const.ScoreValueKind.Score, string predictedLabel = DefaultColumnNames.PredictedLabel) : 523scoreColumn = AnnotationUtils.Const.ScoreValueKind.Score;
Scorers\QuantileRegressionScorer.cs (2)
14typeof(SignatureDataScorer), "Quantile Regression Scorer", "QuantileRegressionScorer", AnnotationUtils.Const.ScoreColumnKind.QuantileRegression)] 17typeof(SignatureBindableMapper), "Quantile Regression Mapper", "QuantileRegressionScorer", AnnotationUtils.Const.ScoreColumnKind.QuantileRegression)]
Scorers\SchemaBindablePredictorWrapper.cs (7)
365return AnnotationUtils.Const.ScoreColumnKind.BinaryClassification; 367return AnnotationUtils.Const.ScoreColumnKind.MulticlassClassification; 369return AnnotationUtils.Const.ScoreColumnKind.Regression; 371return AnnotationUtils.Const.ScoreColumnKind.MultiOutputRegression; 373return AnnotationUtils.Const.ScoreColumnKind.Ranking; 375return AnnotationUtils.Const.ScoreColumnKind.AnomalyDetection; 377return AnnotationUtils.Const.ScoreColumnKind.Clustering;
Scorers\ScoreSchemaFactory.cs (11)
23public static DataViewSchema Create(DataViewType scoreType, string scoreColumnKindValue, string scoreColumnName = AnnotationUtils.Const.ScoreValueKind.Score) 33(ref ReadOnlyMemory<char> value) => { value = AnnotationUtils.Const.ScoreValueKind.Score.AsMemory(); }); 50public static DataViewSchema CreateBinaryClassificationSchema(string scoreColumnName = AnnotationUtils.Const.ScoreValueKind.Score, 51string probabilityColumnName = AnnotationUtils.Const.ScoreValueKind.Probability) 54var partialSchema = Create(NumberDataViewType.Single, AnnotationUtils.Const.ScoreColumnKind.BinaryClassification, scoreColumnName); 64(ref ReadOnlyMemory<char> value) => { value = AnnotationUtils.Const.ScoreColumnKind.BinaryClassification.AsMemory(); }); 66(ref ReadOnlyMemory<char> value) => { value = AnnotationUtils.Const.ScoreValueKind.Probability.AsMemory(); }); 87var partialSchema = Create(new VectorDataViewType(scoreType as PrimitiveDataViewType, quantiles.Length), AnnotationUtils.Const.ScoreColumnKind.QuantileRegression); 109/// This function returns a schema for sequence predictor's output. Its output column is always called <see cref="AnnotationUtils.Const.ScoreValueKind.PredictedLabel"/>. 130(ref ReadOnlyMemory<char> value) => value = AnnotationUtils.Const.ScoreValueKind.PredictedLabel.AsMemory()); 134schemaBuilder.AddColumn(AnnotationUtils.Const.ScoreValueKind.PredictedLabel, scoreType, metadataBuilder.ToAnnotations());
Microsoft.ML.Ensemble (28)
EntryPoints\CreateEnsemble.cs (4)
221var ensemble = SchemaBindablePipelineEnsembleBase.Create(host, input.Models, combiner, AnnotationUtils.Const.ScoreColumnKind.BinaryClassification); 245var ensemble = SchemaBindablePipelineEnsembleBase.Create(host, input.Models, combiner, AnnotationUtils.Const.ScoreColumnKind.Regression); 272var ensemble = SchemaBindablePipelineEnsembleBase.Create(host, input.Models, combiner, AnnotationUtils.Const.ScoreColumnKind.MulticlassClassification); 296var ensemble = SchemaBindablePipelineEnsembleBase.Create(host, input.Models, combiner, AnnotationUtils.Const.ScoreColumnKind.AnomalyDetection);
PipelineEnsemble.cs (16)
77var scoreCol = Mappers[i].OutputSchema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 240if (_scoreColumnKind == AnnotationUtils.Const.ScoreColumnKind.Regression) 242if (_scoreColumnKind == AnnotationUtils.Const.ScoreColumnKind.AnomalyDetection) 268if (_scoreColumnKind == AnnotationUtils.Const.ScoreColumnKind.MulticlassClassification) 277: base(env, predictors, combiner, LoaderSignature, AnnotationUtils.Const.ScoreColumnKind.MulticlassClassification) 299: base(env, predictors, combiner, LoaderSignature, AnnotationUtils.Const.ScoreColumnKind.BinaryClassification) 301Host.Assert(_scoreColumnKind == AnnotationUtils.Const.ScoreColumnKind.BinaryClassification); 308Host.Assert(_scoreColumnKind == AnnotationUtils.Const.ScoreColumnKind.BinaryClassification); 523case AnnotationUtils.Const.ScoreColumnKind.BinaryClassification: 528case AnnotationUtils.Const.ScoreColumnKind.Regression: 529case AnnotationUtils.Const.ScoreColumnKind.AnomalyDetection: 534case AnnotationUtils.Const.ScoreColumnKind.MulticlassClassification: 553case AnnotationUtils.Const.ScoreColumnKind.BinaryClassification: 555case AnnotationUtils.Const.ScoreColumnKind.Regression: 556case AnnotationUtils.Const.ScoreColumnKind.AnomalyDetection: 558case AnnotationUtils.Const.ScoreColumnKind.MulticlassClassification:
Selector\SubModelSelector\BaseSubModelSelector.cs (8)
110AnnotationUtils.Const.ScoreColumnKind.BinaryClassification); 111yield return RoleMappedSchema.CreatePair(AnnotationUtils.Const.ScoreValueKind.Score, scoreCol.Name); 114scoreCol.Index, AnnotationUtils.Const.ScoreValueKind.Probability, NumberDataViewType.Single.Equals); 116yield return RoleMappedSchema.CreatePair(AnnotationUtils.Const.ScoreValueKind.Probability, probCol.Value.Name); 121AnnotationUtils.Const.ScoreColumnKind.Regression); 122yield return RoleMappedSchema.CreatePair(AnnotationUtils.Const.ScoreValueKind.Score, scoreCol.Name); 127AnnotationUtils.Const.ScoreColumnKind.MulticlassClassification); 128yield return RoleMappedSchema.CreatePair(AnnotationUtils.Const.ScoreValueKind.Score, scoreCol.Name);
Microsoft.ML.EntryPoints (1)
ScoreColumnSelector.cs (1)
95&& ReadOnlyMemoryUtils.EqualsStr(AnnotationUtils.Const.ScoreValueKind.PredictedLabel, tmp))
Microsoft.ML.FastTree (1)
GamModelParameters.cs (1)
684new RoleMappedSchema.ColumnRole(AnnotationUtils.Const.ScoreValueKind.Score).Bind(DefaultColumnNames.Score));
Microsoft.ML.Recommender (1)
MatrixFactorizationPredictor.cs (1)
317return new RowMapper(env, this, schema, ScoreSchemaFactory.Create(OutputType, AnnotationUtils.Const.ScoreColumnKind.Regression));
Microsoft.ML.TorchSharp (6)
AutoFormerV2\ObjectDetectionTrainer.cs (2)
759meta.Add(AnnotationUtils.Kinds.ScoreColumnKind, TextDataViewType.Instance, (ref ReadOnlyMemory<char> value) => { value = AnnotationUtils.Const.ScoreColumnKind.MulticlassClassification.AsMemory(); }); 761meta.Add(AnnotationUtils.Kinds.ScoreValueKind, TextDataViewType.Instance, (ref ReadOnlyMemory<char> value) => { value = AnnotationUtils.Const.ScoreValueKind.Score.AsMemory(); });
NasBert\NasBertTrainer.cs (2)
525meta.Add(AnnotationUtils.Kinds.ScoreColumnKind, TextDataViewType.Instance, (ref ReadOnlyMemory<char> value) => { value = AnnotationUtils.Const.ScoreColumnKind.MulticlassClassification.AsMemory(); }); 527meta.Add(AnnotationUtils.Kinds.ScoreValueKind, TextDataViewType.Instance, (ref ReadOnlyMemory<char> value) => { value = AnnotationUtils.Const.ScoreValueKind.Score.AsMemory(); });
Roberta\QATrainer.cs (2)
741meta.Add(AnnotationUtils.Kinds.ScoreColumnKind, TextDataViewType.Instance, (ref ReadOnlyMemory<char> value) => { value = AnnotationUtils.Const.ScoreColumnKind.MulticlassClassification.AsMemory(); }); 743meta.Add(AnnotationUtils.Kinds.ScoreValueKind, TextDataViewType.Instance, (ref ReadOnlyMemory<char> value) => { value = AnnotationUtils.Const.ScoreValueKind.Score.AsMemory(); });