4 instantiations of Options
Microsoft.ML.AutoML (1)
SweepableEstimator\Estimators\Lbfgs.cs (1)
31
var option = new LbfgsPoissonRegressionTrainer.
Options
()
Microsoft.ML.IntegrationTests (1)
Training.cs (1)
366
new LbfgsPoissonRegressionTrainer.
Options
{ NumberOfThreads = 1, MaximumNumberOfIterations = 100 });
Microsoft.ML.Samples (1)
Dynamic\Trainers\Regression\LbfgsPoissonRegressionWithOptions.cs (1)
28
var options = new LbfgsPoissonRegressionTrainer.
Options
Microsoft.ML.Tests (1)
FeatureContributionTests.cs (1)
97
new LbfgsPoissonRegressionTrainer.
Options
{ NumberOfThreads = 1 }), GetSparseDataset(numberOfInstances: 100), "PoissonRegression");
18 references to Options
Microsoft.ML.AutoML (3)
SweepableEstimator\Estimators\Lbfgs.cs (1)
31
var
option = new LbfgsPoissonRegressionTrainer.Options()
TrainerExtensions\RegressionTrainerExtensions.cs (2)
155
var
options = TrainerExtensionUtil.CreateOptions<LbfgsPoissonRegressionTrainer.
Options
>(sweepParams, columnInfo.LabelColumnName);
Microsoft.ML.Samples (1)
Dynamic\Trainers\Regression\LbfgsPoissonRegressionWithOptions.cs (1)
28
var
options = new LbfgsPoissonRegressionTrainer.Options
Microsoft.ML.SearchSpace.Tests (1)
SearchSpaceTest.cs (1)
294
CreateAndVerifyDefaultSearchSpace<LbfgsPoissonRegressionTrainer.
Options
>();
Microsoft.ML.StandardTrainers (13)
Standard\PoissonRegression\PoissonRegression.cs (12)
15
[assembly: LoadableClass(LbfgsPoissonRegressionTrainer.Summary, typeof(LbfgsPoissonRegressionTrainer), typeof(LbfgsPoissonRegressionTrainer.
Options
),
56
/// <seealso cref="StandardTrainersCatalog.LbfgsPoissonRegression(RegressionCatalog.RegressionTrainers, LbfgsPoissonRegressionTrainer.
Options
)"/>
57
/// <seealso cref="
Options
"/>
58
public sealed class LbfgsPoissonRegressionTrainer : LbfgsTrainerBase<LbfgsPoissonRegressionTrainer.
Options
, RegressionPredictionTransformer<PoissonRegressionModelParameters>, PoissonRegressionModelParameters>
91
float l1Weight =
Options
.Defaults.L1Regularization,
92
float l2Weight =
Options
.Defaults.L2Regularization,
93
float optimizationTolerance =
Options
.Defaults.OptimizationTolerance,
94
int memorySize =
Options
.Defaults.HistorySize,
95
bool enforceNoNegativity =
Options
.Defaults.EnforceNonNegativity)
106
internal LbfgsPoissonRegressionTrainer(IHostEnvironment env,
Options
options)
212
internal static CommonOutputs.RegressionOutput TrainRegression(IHostEnvironment env,
Options
input)
219
return TrainerEntryPointsUtils.Train<
Options
, CommonOutputs.RegressionOutput>(host, input,
StandardTrainersCatalog.cs (1)
623
public static LbfgsPoissonRegressionTrainer LbfgsPoissonRegression(this RegressionCatalog.RegressionTrainers catalog, LbfgsPoissonRegressionTrainer.
Options
options)