/// <summary>
/// Construct a cross validation trainer.
/// </summary>
///
/// <param name="train">The training</param>
/// <param name="k">The number of folds.</param>
public CrossValidationKFold(IMLTrain train, int k) : base(train.Method, (FoldedDataSet)train.Training)
{
_train = train;
Folded.Fold(k);
_flatNetwork = ((BasicNetwork)train.Method).Structure.Flat;
_networks = new NetworkFold[k];
for (int i = 0; i < _networks.Length; i++)
{
_networks[i] = new NetworkFold(_flatNetwork);
}
}
/// <summary>
/// Construct a cross validation trainer.
/// </summary>
/// <param name="train">The training.</param>
/// <param name="k">The number of folds.</param>
public CrossValidationKFold(ITrain train, int k)
: base(train.Network, (FoldedDataSet)train.Training)
{
this.train = train;
Folded.Fold(k);
this.flatNetwork = train.Network.Structure.Flat;
this.networks = new NetworkFold[k];
for (int i = 0; i < networks.Length; i++)
{
this.networks[i] = new NetworkFold(flatNetwork);
}
}
