14 writes to NumberOfIterations
Microsoft.ML.AutoML (2)
TrainerExtensions\BinaryTrainerExtensions.cs (2)
33
options.
NumberOfIterations
= DefaultNumIterations;
41
options.
NumberOfIterations
= DefaultNumIterations;
Microsoft.ML.IntegrationTests (3)
Training.cs (3)
96
new AveragedPerceptronTrainer.Options {
NumberOfIterations
= 1 });
184
new LinearSvmTrainer.Options {
NumberOfIterations
= 1 });
322
new OnlineGradientDescentTrainer.Options {
NumberOfIterations
= 10 });
Microsoft.ML.Predictor.Tests (1)
TestPredictors.cs (1)
773
NumberOfIterations
= 2,
Microsoft.ML.Samples (2)
Dynamic\Trainers\BinaryClassification\AveragedPerceptronWithOptions.cs (1)
34
NumberOfIterations
= 10
Dynamic\Trainers\BinaryClassification\LinearSvmWithOptions.cs (1)
32
NumberOfIterations
= 10
Microsoft.ML.StandardTrainers (4)
Standard\Online\AveragedPerceptron.cs (2)
93
NumberOfIterations
= AveragedPerceptronDefault.NumberOfIterations;
186
NumberOfIterations
= numberOfIterations,
Standard\Online\LinearSvm.cs (1)
289
NumberOfIterations
= numberOfIterations,
Standard\Online\OnlineGradientDescent.cs (1)
152
NumberOfIterations
= numberOfIterations,
Microsoft.ML.Tests (2)
Scenarios\Api\TestApi.cs (1)
186
new AveragedPerceptronTrainer.Options {
NumberOfIterations
= 2 });
Scenarios\OvaTest.cs (1)
141
mlContext.BinaryClassification.Trainers.LinearSvm(new LinearSvmTrainer.Options {
NumberOfIterations
= 100 }),
5 references to NumberOfIterations
Microsoft.ML.StandardTrainers (5)
Standard\Online\OnlineLinear.cs (5)
265
Contracts.CheckUserArg(options.
NumberOfIterations
> 0, nameof(options.
NumberOfIterations
), UserErrorPositive);
329
while (state.Iteration < OnlineLinearTrainerOptions.
NumberOfIterations
)
347
numBad, OnlineLinearTrainerOptions.
NumberOfIterations
, numBad / OnlineLinearTrainerOptions.
NumberOfIterations
);