41 references to ScoreValueKind
Microsoft.ML.Core.Tests (40)
UnitTests\ScoreSchemaTest.cs (4)
48Assert.Equal(AnnotationUtils.Const.ScoreValueKind.PredictedLabel, scoreColumn.Name); 87Assert.Equal(AnnotationUtils.Const.ScoreValueKind.PredictedLabel, scoreValueKindValue.ToString()); 105Assert.Equal(AnnotationUtils.Const.ScoreValueKind.PredictedLabel, scoreColumn.Name); 134Assert.Equal(AnnotationUtils.Const.ScoreValueKind.PredictedLabel, scoreValueKindValue.ToString());
UnitTests\TestEntryPoints.cs (36)
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); 1640scoreCol = regressionScored.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1648scoreCol = anomalyScored.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 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 (1)
Scorers\ScoreSchemaFactory.cs (1)
109/// This function returns a schema for sequence predictor's output. Its output column is always called <see cref="AnnotationUtils.Const.ScoreValueKind.PredictedLabel"/>.