1 write to Score
Microsoft.ML.Tests (1)
TrainerEstimators\TreeEstimators.cs (1)
504dataList.Add(new GbmExample { Features = featureVector, Label = labels[i], Score = new float[_classNumber] });
10 references to Score
Microsoft.ML.Tests (10)
TrainerEstimators\TreeEstimators.cs (10)
611Assert.Equal(nativeResult0[j + i * _classNumber], mlnetPredictions[i].Score[j], 0.000001); 619Assert.Equal(prob / sum, mlnetPredictions[i].Score[j], 0.000001); 647Assert.Equal(nativeResult0[j + i * _classNumber], mlnetPredictions[i].Score[j], 0.000001); 655Assert.Equal(prob / sum, mlnetPredictions[i].Score[j], 0.000001); 689areEqual &= firstMlnetPredictions[i].Score[j].Equals(secondMlnetPredictions[i].Score[j]); 718Assert.Equal(nativeResult0[j + i * _classNumber], mlnetPredictions[i].Score[j], 0.000001); 724Assert.Equal(prob / sum, mlnetPredictions[i].Score[j], 0.000001); 747Assert.Equal(nativeResult0[j + i * _classNumber], mlnetPredictions[i].Score[j], 0.000001); 753Assert.Equal(prob / sum, mlnetPredictions[i].Score[j], 0.000001);