/// <summary>
/// Initializes a new instance of the <see cref="CrossValidationResult<TModel>"/> class.
/// </summary>
///
/// <param name="owner">The <see cref="CrossValidation{TModel}"/> that is creating this result.</param>
/// <param name="models">The models created during the cross-validation runs.</param>
///
public CrossValidationResult(CrossValidation <TModel> owner, CrossValidationValues <TModel>[] models)
{
double[] trainingValues = new double[models.Length];
double[] trainingVariances = new double[models.Length];
int[] trainingCount = new int[models.Length];
double[] validationValues = new double[models.Length];
double[] validationVariances = new double[models.Length];
int[] validationCount = new int[models.Length];
for (int i = 0; i < models.Length; i++)
{
trainingValues[i] = models[i].TrainingValue;
trainingVariances[i] = models[i].TrainingVariance;
validationValues[i] = models[i].ValidationValue;
validationVariances[i] = models[i].ValidationVariance;
owner.GetPartitionSize(i, out trainingCount[i], out validationCount[i]);
}
this.Settings = owner;
this.Models = models;
this.Training = new CrossValidationStatistics(trainingCount, trainingValues, trainingVariances);
this.Validation = new CrossValidationStatistics(validationCount, validationValues, validationVariances);
}
/// <summary>
/// Creates a new k-fold cross-validation algorithm.
/// </summary>
///
/// <param name="size">The total number of available samples.</param>
/// <param name="folds">The number of folds, usually denoted as <c>k</c> (default is 10).</param>
///
public CrossValidation(int size, int folds)
{
if (folds > size)
{
throw new ArgumentException("The number of folds can not exceed the total number of samples in the data set", "folds");
}
this.samples = size;
this.folds = new int[folds][];
this.indices = CrossValidation.Splittings(size, folds);
// Create foldings
for (int i = 0; i < folds; i++)
{
this.folds[i] = indices.Find(x => x == i);
}
}
/// <summary>
/// Creates a new k-fold cross-validation algorithm.
/// </summary>
///
/// <param name="labels">A vector containing class labels.</param>
/// <param name="classes">The number of different classes in <paramref name="labels"/>.</param>
/// <param name="folds">The number of folds, usually denoted as <c>k</c> (default is 10).</param>
///
public CrossValidation(int[] labels, int classes, int folds)
{
if (folds > labels.Length)
{
throw new ArgumentException("The number of folds can not exceed "
+ "the total number of samples in the data set", "folds");
}
this.samples = labels.Length;
this.folds = new int[folds][];
this.indices = CrossValidation.Splittings(labels, classes, folds);
// Create foldings
for (int i = 0; i < folds; i++)
{
this.folds[i] = indices.Find(x => x == i);
}
}