2 instantiations of GamRegressionModelParameters
Microsoft.ML.FastTree (2)
GamRegression.cs (2)
109
return new
GamRegressionModelParameters
(Host, BinUpperBounds, BinEffects, MeanEffect, InputLength, FeatureMap);
190
return new
GamRegressionModelParameters
(env, ctx);
13 references to GamRegressionModelParameters
Microsoft.ML.FastTree (11)
GamRegression.cs (11)
20
[assembly: LoadableClass(typeof(
GamRegressionModelParameters
), null, typeof(SignatureLoadModel),
22
GamRegressionModelParameters
.LoaderSignature)]
52
public sealed class GamRegressionTrainer : GamTrainerBase<GamRegressionTrainer.Options, RegressionPredictionTransformer<
GamRegressionModelParameters
>,
GamRegressionModelParameters
>
106
private protected override
GamRegressionModelParameters
TrainModelCore(TrainContext context)
125
private protected override RegressionPredictionTransformer<
GamRegressionModelParameters
> MakeTransformer(
GamRegressionModelParameters
model, DataViewSchema trainSchema)
126
=> new RegressionPredictionTransformer<
GamRegressionModelParameters
>(Host, model, trainSchema, FeatureColumn.Name);
132
public RegressionPredictionTransformer<
GamRegressionModelParameters
> Fit(IDataView trainData, IDataView validationData)
181
loaderAssemblyName: typeof(
GamRegressionModelParameters
).Assembly.FullName);
184
internal static
GamRegressionModelParameters
Create(IHostEnvironment env, ModelLoadContext ctx)
Microsoft.ML.IntegrationTests (1)
IntrospectiveTraining.cs (1)
151
var
gamModel = model.LastTransformer.Model;
Microsoft.ML.Predictor.Tests (1)
TestGamPublicInterfaces.cs (1)
40
var
gam = new GamRegressionModelParameters(mlContext, binUpperBounds, binEffects, intercept);