1 instantiation of RegressionTrainers
Microsoft.ML.Data (1)
TrainCatalog.cs (1)
578Trainers = new RegressionTrainers(this);
44 references to RegressionTrainers
Microsoft.ML.Data (1)
TrainCatalog.cs (1)
573public RegressionTrainers Trainers { get; }
Microsoft.ML.FastTree (17)
FastTreeRanking.cs (1)
65/// <seealso cref="TreeExtensions.FastTree(RegressionCatalog.RegressionTrainers, FastTreeRegressionTrainer.Options)"/>
FastTreeRegression.cs (2)
55/// <seealso cref="TreeExtensions.FastTree(RegressionCatalog.RegressionTrainers, string, string, string, int, int, int, double)"/> 56/// <seealso cref="TreeExtensions.FastTree(RegressionCatalog.RegressionTrainers, FastTreeRegressionTrainer.Options)"/>
FastTreeTweedie.cs (2)
60/// <seealso cref="TreeExtensions.FastTreeTweedie(RegressionCatalog.RegressionTrainers, string, string, string, int, int, int, double)"/> 61/// <seealso cref="TreeExtensions.FastTreeTweedie(RegressionCatalog.RegressionTrainers, FastTreeTweedieTrainer.Options)"/>
GamRegression.cs (2)
49/// <seealso cref="TreeExtensions.Gam(RegressionCatalog.RegressionTrainers, string, string, string, int, int, double)"/> 50/// <seealso cref="TreeExtensions.Gam(RegressionCatalog.RegressionTrainers, GamRegressionTrainer.Options)"/>
RandomForestRegression.cs (2)
290/// <seealso cref="TreeExtensions.FastForest(RegressionCatalog.RegressionTrainers, string, string, string, int, int, int)"/> 291/// <seealso cref="TreeExtensions.FastForest(RegressionCatalog.RegressionTrainers, FastForestRegressionTrainer.Options)"/>
TreeTrainersCatalog.cs (8)
36public static FastTreeRegressionTrainer FastTree(this RegressionCatalog.RegressionTrainers catalog, 62public static FastTreeRegressionTrainer FastTree(this RegressionCatalog.RegressionTrainers catalog, 249public static GamRegressionTrainer Gam(this RegressionCatalog.RegressionTrainers catalog, 274public static GamRegressionTrainer Gam(this RegressionCatalog.RegressionTrainers catalog, 300public static FastTreeTweedieTrainer FastTreeTweedie(this RegressionCatalog.RegressionTrainers catalog, 326public static FastTreeTweedieTrainer FastTreeTweedie(this RegressionCatalog.RegressionTrainers catalog, 353public static FastForestRegressionTrainer FastForest(this RegressionCatalog.RegressionTrainers catalog, 378public static FastForestRegressionTrainer FastForest(this RegressionCatalog.RegressionTrainers catalog,
Microsoft.ML.LightGbm (6)
LightGbmCatalog.cs (4)
13/// Collection of extension methods for the <see cref="RegressionCatalog.RegressionTrainers"/>, 37public static LightGbmRegressionTrainer LightGbm(this RegressionCatalog.RegressionTrainers catalog, 63public static LightGbmRegressionTrainer LightGbm(this RegressionCatalog.RegressionTrainers catalog, 77public static LightGbmRegressionTrainer LightGbm(this RegressionCatalog.RegressionTrainers catalog,
LightGbmRegressionTrainer.cs (2)
102/// <seealso cref="LightGbmExtensions.LightGbm(RegressionCatalog.RegressionTrainers, string, string, string, int?, int?, double?, int)"/> 103/// <seealso cref="LightGbmExtensions.LightGbm(RegressionCatalog.RegressionTrainers, LightGbmRegressionTrainer.Options)"/>
Microsoft.ML.Mkl.Components (5)
MklComponentsCatalog.cs (3)
13/// Collection of extension methods for <see cref="RegressionCatalog.RegressionTrainers"/>, 33public static OlsTrainer Ols(this RegressionCatalog.RegressionTrainers catalog, 63this RegressionCatalog.RegressionTrainers catalog,
OlsLinearRegression.cs (2)
64/// <seealso cref="MklComponentsCatalog.Ols(RegressionCatalog.RegressionTrainers, string, string, string)"/> 65/// <seealso cref="MklComponentsCatalog.Ols(RegressionCatalog.RegressionTrainers, OlsTrainer.Options)"/>
Microsoft.ML.StandardTrainers (13)
Standard\Online\OnlineGradientDescent.cs (2)
55/// <seealso cref="StandardTrainersCatalog.OnlineGradientDescent(RegressionCatalog.RegressionTrainers, string, string, IRegressionLoss, float, bool, float, int)"/> 56/// <seealso cref="StandardTrainersCatalog.OnlineGradientDescent(RegressionCatalog.RegressionTrainers, OnlineGradientDescentTrainer.Options)"/>
Standard\PoissonRegression\PoissonRegression.cs (2)
55/// <seealso cref="StandardTrainersCatalog.LbfgsPoissonRegression(RegressionCatalog.RegressionTrainers, string, string, string, float, float, float, int, bool)"/> 56/// <seealso cref="StandardTrainersCatalog.LbfgsPoissonRegression(RegressionCatalog.RegressionTrainers, LbfgsPoissonRegressionTrainer.Options)"/>
Standard\SdcaRegression.cs (2)
51/// <seealso cref="StandardTrainersCatalog.Sdca(RegressionCatalog.RegressionTrainers, string, string, string, ISupportSdcaRegressionLoss, float?, float?, int?)"/> 52/// <seealso cref="StandardTrainersCatalog.Sdca(RegressionCatalog.RegressionTrainers, SdcaRegressionTrainer.Options)"/>
StandardTrainersCatalog.cs (7)
16/// Collection of extension methods for <see cref="RegressionCatalog.RegressionTrainers"/>, 152public static SdcaRegressionTrainer Sdca(this RegressionCatalog.RegressionTrainers catalog, 177public static SdcaRegressionTrainer Sdca(this RegressionCatalog.RegressionTrainers catalog, 487public static OnlineGradientDescentTrainer OnlineGradientDescent(this RegressionCatalog.RegressionTrainers catalog, 514public static OnlineGradientDescentTrainer OnlineGradientDescent(this RegressionCatalog.RegressionTrainers catalog, 597public static LbfgsPoissonRegressionTrainer LbfgsPoissonRegression(this RegressionCatalog.RegressionTrainers catalog, 623public static LbfgsPoissonRegressionTrainer LbfgsPoissonRegression(this RegressionCatalog.RegressionTrainers catalog, LbfgsPoissonRegressionTrainer.Options options)
Microsoft.ML.TorchSharp (2)
TorchSharpCatalog.cs (2)
82this RegressionCatalog.RegressionTrainers catalog, 102this RegressionCatalog.RegressionTrainers catalog,