1 write to Feature1
Microsoft.ML.Samples (1)
Dynamic\Trainers\BinaryClassification\PermutationFeatureImportanceLoadFromDisk.cs (1)
91
Feature1
= (float)(rng.Next(10) * (rng.NextDouble() - 0.5)),
2 references to Feature1
Microsoft.ML.Samples (2)
Dynamic\Trainers\BinaryClassification\PermutationFeatureImportanceLoadFromDisk.cs (2)
22
new string[] { nameof(Data.
Feature1
), nameof(Data.Feature2) };
96
var value = (float)(bias + weight1 * data.
Feature1
+ weight2 *