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