public ImplVec(IHostEnvironment env, IPredictorModel[] predictors, IMultiClassOutputCombiner combiner)
: base(env, predictors, combiner, LoaderSignature, MetadataUtils.Const.ScoreColumnKind.MultiClassClassification)
{
int classCount = CheckLabelColumn(Host, predictors, false);
_scoreType = new VectorType(NumberType.R4, classCount);
}
/// <summary>
/// Instantiate new ensemble model from existing sub-models.
/// </summary>
/// <param name="env">The host environment.</param>
/// <param name="models">Array of sub-models that you want to ensemble together.</param>
/// <param name="combiner">The combiner class to use to ensemble the models.</param>
/// <param name="weights">The weights assigned to each model to be ensembled.</param>
public EnsembleMultiClassModelParameters(IHostEnvironment env, FeatureSubsetModel <TVectorPredictor>[] models,
IMultiClassOutputCombiner combiner, Single[] weights = null)
: base(env, RegistrationName, models, combiner, weights)
{
InitializeMappers(out _mappers, out _inputType, out _outputType);
}
