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)
439(AnnotationUtils.Const.ScoreValueKind.Score + i).ToString(), 440AnnotationUtils.Const.ScoreValueKind.Score) 443individualScores[i] = new ColumnSelectingTransformer(Env, null, new[] { AnnotationUtils.Const.ScoreValueKind.Score }).Transform(individualScores[i]); 473var scoreColumn = curs1.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 477scoreColumn = curs2.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 481scoreColumn = curs3.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 488scoreColumn = curs4.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score + i); 1671var scoreCol = binaryScored.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1680scoreCol = regressionScored.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1688scoreCol = anomalyScored.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1724var scoreColumn = curs0.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1727scoreColumn = curs1.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1730scoreColumn = curs2.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1733scoreColumn = curs3.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1736scoreColumn = curs4.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1739scoreColumn = cursReg.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1742scoreColumn = cursBin.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1745scoreColumn = cursBinCali.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1748scoreColumn = cursSaved.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1751scoreColumn = cursAnom.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1950var scoreColumn = curs0.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1953scoreColumn = curs1.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1956scoreColumn = curs2.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1959scoreColumn = curs3.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1962scoreColumn = curs4.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1965scoreColumn = cursReg.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1968scoreColumn = cursBin.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1971scoreColumn = cursBinCali.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 1974scoreColumn = cursSaved.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 2108var scoreColumn = curs0.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 2111scoreColumn = curs1.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 2114scoreColumn = curs2.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 2117scoreColumn = curs3.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 2120scoreColumn = curs4.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 2123scoreColumn = curs.Schema.GetColumnOrNull(AnnotationUtils.Const.ScoreValueKind.Score); 2126scoreColumn = 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"/>.