/// <summary>
/// Initializes a new instance of <see cref="MultiClassNaiveBayesTrainer"/>
/// </summary>
/// <param name="env">The environment to use.</param>
/// <param name="labelColumn">The name of the label column.</param>
/// <param name="featureColumn">The name of the feature column.</param>
public MultiClassNaiveBayesTrainer(IHostEnvironment env, string featureColumn, string labelColumn)
: base(Contracts.CheckRef(env, nameof(env)).Register(LoadName), TrainerUtils.MakeR4VecFeature(featureColumn),
TrainerUtils.MakeU4ScalarLabel(labelColumn))
{
Host.CheckNonEmpty(featureColumn, nameof(featureColumn));
Host.CheckNonEmpty(labelColumn, nameof(labelColumn));
}
internal SdcaMultiClassTrainer(IHostEnvironment env, Arguments args,
string featureColumn, string labelColumn, string weightColumn = null)
: base(env, args, TrainerUtils.MakeU4ScalarLabel(labelColumn), TrainerUtils.MakeR4ScalarWeightColumn(weightColumn))
{
Host.CheckValue(labelColumn, nameof(labelColumn));
Host.CheckValue(featureColumn, nameof(featureColumn));
_loss = args.LossFunction.CreateComponent(env);
Loss = _loss;
}
/// <summary>
/// Initializes a new instance of <see cref="SdcaMultiClassTrainer"/>
/// </summary>
/// <param name="env">The environment to use.</param>
/// <param name="featureColumn">The features, or independent variables.</param>
/// <param name="labelColumn">The label, or dependent variable.</param>
/// <param name="loss">The custom loss.</param>
/// <param name="weightColumn">The optional example weights.</param>
/// <param name="l2Const">The L2 regularization hyperparameter.</param>
/// <param name="l1Threshold">The L1 regularization hyperparameter. Higher values will tend to lead to more sparse model.</param>
/// <param name="maxIterations">The maximum number of passes to perform over the data.</param>
/// <param name="advancedSettings">A delegate to set more settings.</param>
public SdcaMultiClassTrainer(IHostEnvironment env,
string featureColumn,
string labelColumn,
string weightColumn = null,
ISupportSdcaClassificationLoss loss = null,
float?l2Const = null,
float?l1Threshold = null,
int?maxIterations = null,
Action <Arguments> advancedSettings = null)
: base(env, featureColumn, TrainerUtils.MakeU4ScalarLabel(labelColumn), TrainerUtils.MakeR4ScalarWeightColumn(weightColumn), advancedSettings,
l2Const, l1Threshold, maxIterations)
{
Host.CheckNonEmpty(featureColumn, nameof(featureColumn));
Host.CheckNonEmpty(labelColumn, nameof(labelColumn));
_loss = loss ?? Args.LossFunction.CreateComponent(env);
Loss = _loss;
}
/// <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.MakeU4ScalarLabel(args.LabelColumn))
{
Host.CheckValue(args, nameof(args));
}