Score

27 references to Score

Microsoft.ML.Core.Tests (23)

UnitTests\TestEntryPoints.cs (23)

140var scored1 = ScoreModel.Score(Env, new ScoreModel.Input() { Data = dataView, PredictorModel = model }).ScoredData; 143var scored2 = ScoreModel.Score(Env, new ScoreModel.Input() { Data = dataView, PredictorModel = lrModel.Apply(Env, trainData.Model) }).ScoredData; 434ScoreModel.Score(Env, 448ScoreModel.Score(Env, 454ScoreModel.Score(Env, 460ScoreModel.Score(Env, 1514var scored1 = ScoreModel.Score(Env, new ScoreModel.Input() { Data = splitOutput.TestData[2], PredictorModel = lrModel }).ScoredData; 1517var scored2 = ScoreModel.Score(Env, new ScoreModel.Input() { Data = splitOutput.TestData[2], PredictorModel = calibratedLrModel }).ScoredData; 1536var scoredFf = ScoreModel.Score(Env, new ScoreModel.Input() { Data = splitOutput.TestData[2], PredictorModel = twiceCalibratedFfModel }).ScoredData; 1574ScoreModel.Score(Env, 1591var binaryScored = ScoreModel.Score(Env, 1597var binaryScoredCalibrated = ScoreModel.Score(Env, 1610var regressionScored = ScoreModel.Score(Env, 1623var anomalyScored = ScoreModel.Score(Env, 1666var scoredFromSaved = ScoreModel.Score(Env, 1840ScoreModel.Score(Env, 1857var binaryScored = ScoreModel.Score(Env, 1863var binaryScoredCalibrated = ScoreModel.Score(Env, 1876var regressionScored = ScoreModel.Score(Env, 1893var scoredFromSaved = ScoreModel.Score(Env, 2025ScoreModel.Score(Env, 2036var mcScored = ScoreModel.Score(Env, 2053var scoredFromSaved = ScoreModel.Score(Env,

Microsoft.ML.Predictor.Tests (4)

TestPredictors.cs (4)

674var scored = ScoreModel.Score(Env, new ScoreModel.Input() { Data = idv, PredictorModel = new PredictorModelImpl(Env, data, idv, fastTree) }).ScoredData; 689scoredArray[i] = ScoreModel.Score(Env, new ScoreModel.Input() { Data = idv, PredictorModel = fastTrees[i] }).ScoredData; 844var scored = ScoreModel.Score(Env, new ScoreModel.Input() { Data = idv, PredictorModel = new PredictorModelImpl(Env, data, idv, predictor) }).ScoredData; 865scoredArray[i] = ScoreModel.Score(Env, new ScoreModel.Input() { Data = idv, PredictorModel = predictors[i] }).ScoredData;