1 write to Feature1
Microsoft.ML.Samples (1)
Dynamic\Trainers\Regression\PermutationFeatureImportance.cs (1)
115Feature1 = (float)(rng.Next(10) * (rng.NextDouble() - 0.5)),
2 references to Feature1
Microsoft.ML.Samples (2)
Dynamic\Trainers\Regression\PermutationFeatureImportance.cs (2)
25var featureColumns = new string[] { nameof(Data.Feature1), 120data.Label = (float)(bias + weight1 * data.Feature1 + weight2 *