internal LdSvmTrainer(IHostEnvironment env, Options options)
: base(Contracts.CheckRef(env, nameof(env)).Register(LoadNameValue),
TrainerUtils.MakeR4VecFeature(options.FeatureColumnName),
TrainerUtils.MakeBoolScalarLabel(options.LabelColumnName),
TrainerUtils.MakeR4ScalarWeightColumn(options.ExampleWeightColumnName))
{
Host.CheckValue(options, nameof(options));
CheckOptions(Host, options);
_options = options;
}
/// <summary>
/// Initializes a new instance of <see cref="SymbolicStochasticGradientDescentClassificationTrainer"/>
/// </summary>
internal SymbolicStochasticGradientDescentClassificationTrainer(IHostEnvironment env, Options options)
: base(Contracts.CheckRef(env, nameof(env)).Register(LoadNameValue), TrainerUtils.MakeR4VecFeature(options.FeatureColumnName),
TrainerUtils.MakeBoolScalarLabel(options.LabelColumnName))
{
Host.CheckValue(options, nameof(options));
options.Check(Host);
_options = options;
Info = new TrainerInfo(supportIncrementalTrain: true);
}
/// <summary>
/// Initializes a new instance of <see cref="MultiClassNaiveBayesTrainer"/>
/// </summary>
internal MultiClassNaiveBayesTrainer(IHostEnvironment env, Arguments args)
: base(Contracts.CheckRef(env, nameof(env)).Register(LoadName), TrainerUtils.MakeR4VecFeature(args.FeatureColumn),
TrainerUtils.MakeU4ScalarColumn(args.LabelColumn))
{
Host.CheckValue(args, nameof(args));
}
/// <summary>
/// Initializes a new instance of <see cref="NaiveBayesMulticlassTrainer"/>
/// </summary>
internal NaiveBayesMulticlassTrainer(IHostEnvironment env, Options options)
: base(Contracts.CheckRef(env, nameof(env)).Register(LoadName), TrainerUtils.MakeR4VecFeature(options.FeatureColumnName),
TrainerUtils.MakeU4ScalarColumn(options.LabelColumnName))
{
Host.CheckValue(options, nameof(options));
}