TrainerInfo

API\ExperimentSettings.cs (2)

55/// See <see cref="TrainerInfo.WantCaching"/> for more information on caching. 80/// See <see cref="TrainerInfo.WantCaching"/> for more information on caching.

Experiment\SuggestedPipelineBuilder.cs (3)

18var trainerInfo = trainer.BuildTrainer().Info; 25TrainerInfo trainerInfo, 38private static bool ShouldCacheBeforeTrainer(TrainerInfo trainerInfo, CacheBeforeTrainer cacheBeforeTrainerSettings)

Prediction\ITrainer.cs (1)

49TrainerInfo Info { get; }

Training\ITrainerEstimator.cs (2)

17/// Gets the <see cref="TrainerInfo"/> information about the trainer. 19TrainerInfo Info { get; }

Training\TrainerEstimatorBase.cs (1)

50public abstract TrainerInfo Info { get; }

Training\TrainerUtils.cs (1)

402public TrainerInfo Info { get; }

Trainer\EnsembleTrainerBase.cs (1)

70public TrainerInfo Info { get; }

FastTree.cs (1)

96public override TrainerInfo Info { get; }

GamTrainer.cs (1)

163public override TrainerInfo Info { get; }

KMeansPlusPlusTrainer.cs (1)

162public override TrainerInfo Info { get; }

LightGbmTrainerBase.cs (2)

314private static readonly TrainerInfo _info = new TrainerInfo(normalization: false, caching: false, supportValid: true); 315public override TrainerInfo Info => _info;

OlsLinearRegression.cs (2)

113private static readonly TrainerInfo _info = new TrainerInfo(caching: false); 115public override TrainerInfo Info => _info;

SymSgdClassificationTrainer.cs (1)

171public override TrainerInfo Info { get; }

PcaTrainer.cs (2)

130private static readonly TrainerInfo _info = new TrainerInfo(caching: false); 131public override TrainerInfo Info => _info;

MatrixFactorizationTrainer.cs (3)

307/// The <see cref="TrainerInfo"/> contains general parameters for this trainer. 309public TrainerInfo Info => _info; 337private readonly TrainerInfo _info;

FactorizationMachine\FactorizationMachineTrainer.cs (3)

200/// The <see cref="TrainerInfo"/> containing at least the training data for this trainer. 202TrainerInfo ITrainer.Info => _info; 203private static readonly TrainerInfo _info = new TrainerInfo(normalization: false, supportValid: true, supportIncrementalTrain: true);

LdSvm\LdSvmTrainer.cs (2)

175private static readonly TrainerInfo _info = new TrainerInfo(calibration: true, caching: false); 176public override TrainerInfo Info => _info;

Standard\LogisticRegression\LbfgsPredictorBase.cs (2)

201private static readonly TrainerInfo _info = new TrainerInfo(caching: true, supportIncrementalTrain: true); 202public override TrainerInfo Info => _info;

Standard\MulticlassClassification\MetaMulticlassTrainer.cs (1)

52public TrainerInfo Info { get; }

Standard\MulticlassClassification\MulticlassNaiveBayesTrainer.cs (2)

80private static readonly TrainerInfo _info = new TrainerInfo(normalization: false, caching: false); 86public override TrainerInfo Info => _info;

Standard\Online\OnlineLinear.cs (1)

257public override TrainerInfo Info { get; }

Standard\SdcaBinary.cs (4)

54private static readonly TrainerInfo _info = new TrainerInfo(); 55public override TrainerInfo Info => _info; 1459public override TrainerInfo Info { get; } 1953public override TrainerInfo Info { get; }

Standard\Simple\SimpleTrainers.cs (2)

211private static readonly TrainerInfo _info = new TrainerInfo(normalization: false, caching: false); 217public TrainerInfo Info => _info;

Standard\StochasticTrainerBase.cs (2)

27private static readonly TrainerInfo _info = new TrainerInfo(); 28public override TrainerInfo Info => _info;

ImageClassificationTrainer.cs (2)

462private static readonly TrainerInfo _info = new TrainerInfo(normalization: false, caching: false); 468public override TrainerInfo Info => _info;