2 instantiations of LinearMulticlassModelParameters
Microsoft.ML.StandardTrainers (2)
Standard\LogisticRegression\MulticlassLogisticRegression.cs (1)
1176return new LinearMulticlassModelParameters(env, ctx);
Standard\SdcaMulticlass.cs (1)
658return new LinearMulticlassModelParameters(Host, weights, bias, bias.Length, weights[0].Length, null, stats: null);
12 references to LinearMulticlassModelParameters
Microsoft.ML.StandardTrainers (12)
Standard\LogisticRegression\MulticlassLogisticRegression.cs (6)
34[assembly: LoadableClass(typeof(LinearMulticlassModelParameters), null, typeof(SignatureLoadModel), 36LinearMulticlassModelParameters.LoaderSignature)] 412/// Common linear model of multiclass classifiers. <see cref="LinearMulticlassModelParameters"/> contains a single 1141loaderAssemblyName: typeof(LinearMulticlassModelParameters).Assembly.FullName); 1171internal static LinearMulticlassModelParameters Create(IHostEnvironment env, ModelLoadContext ctx) 1191private protected override string GetTrainerName() => nameof(LinearMulticlassModelParameters);
Standard\SdcaMulticlass.cs (6)
571/// The trained model <see cref="LinearMulticlassModelParameters"/> produces probabilities of classes. 606public sealed class SdcaNonCalibratedMulticlassTrainer : SdcaMulticlassTrainerBase<LinearMulticlassModelParameters> 651private protected override LinearMulticlassModelParameters CreatePredictor(VBuffer<float>[] weights, float[] bias) 661private protected override MulticlassPredictionTransformer<LinearMulticlassModelParameters> MakeTransformer( 662LinearMulticlassModelParameters model, DataViewSchema trainSchema) => 663new MulticlassPredictionTransformer<LinearMulticlassModelParameters>(Host, model, trainSchema, FeatureColumn.Name, LabelColumn.Name);