/// <summary>
/// Initializes a new instance of the <see cref="ValidationJobResult"/> struct.
/// </summary>
/// <param name="job">The job.</param>
/// <param name="confusion">The confusion.</param>
/// <param name="duration">The duration.</param>
/// <remarks></remarks>
public ValidationJobResult(ValidationJob job, ClassConfusionMatrix confusion, TimeSpan duration)
{
Job = job;
Duration = duration;
Confusion = confusion;
JobNumber = 0;
}
/// <summary>
/// Computes this instance.
/// </summary>
/// <remarks></remarks>
public override void Compute()
{
ConfusionMatrix = new ClassConfusionMatrix();
TrainingFunction(Training);
foreach (Instance test in Testing)
{
Result p = ClassifyFunction(test);
ConfusionMatrix[test.Class, p.Class] += 1;
}
}
/// <summary>
/// Runs the validation process. Results are avaliable in the form of the ConfusionMatrix property.
/// </summary>
/// <remarks></remarks>
public override void Compute()
{
ConfusionMatrix = new ClassConfusionMatrix();
ConfusionMatrix.SampleSize = (int)Math.Ceiling((double)Instances.Count / Folds);
ConfusionMatrix.ExampleCount = Instances.Count;
Stopwatch timer = new Stopwatch();
for (int i = 0; i < Repetitions; i += 1)
{
List <Instance[]> instFolds = CreateFolds(Instances, Folds);
for (int j = 0; j < instFolds.Count; j++)
{
Instance[] curFold = instFolds[j];
List <Instance> train = new List <Instance>();
for (int k = 0; k < instFolds.Count; k++)
{
if (k != j)
{
train.AddRange(instFolds[k]);
}
}
TrainingFunction(train);
for (int k = 0; k < curFold.Length; k++)
{
Instance x = curFold[k];
timer.Start();
Result p = ClassifyFunction(x);
timer.Stop();
ConfusionMatrix[x.Class, p.Class] += 1;
}
}
}
ConfusionMatrix.Rate = (float)ConfusionMatrix.Observations / (float)timer.Elapsed.TotalSeconds;
}
/// <summary>
/// Runs the validation process. Results are avaliable in the form of the ConfusionMatrix property.
/// </summary>
/// <remarks></remarks>
public override void Compute()
{
ConfusionMatrix = new ClassConfusionMatrix();
ConfusionMatrix.SampleSize = (int)Math.Ceiling((double)Instances.Count / Folds);
ConfusionMatrix.ExampleCount = Instances.Count;
Stopwatch timer = new Stopwatch();
for (int i = 0; i < Repetitions; i += 1)
{
List<Instance[]> instFolds = CreateFolds(Instances, Folds);
for (int j = 0; j < instFolds.Count; j++)
{
Instance[] curFold = instFolds[j];
List<Instance> train = new List<Instance>();
for (int k = 0; k < instFolds.Count; k++)
{
if (k != j)
{
train.AddRange(instFolds[k]);
}
}
TrainingFunction(train);
for (int k = 0; k < curFold.Length; k++)
{
Instance x = curFold[k];
timer.Start();
Result p = ClassifyFunction(x);
timer.Stop();
ConfusionMatrix[x.Class, p.Class] += 1;
}
}
}
ConfusionMatrix.Rate = (float)ConfusionMatrix.Observations / (float)timer.Elapsed.TotalSeconds;
}
/// <summary>
/// Computes this instance.
/// </summary>
/// <remarks></remarks>
public override void Compute()
{
ConfusionMatrix = new ClassConfusionMatrix();
TrainingFunction(Training);
foreach (Instance test in Testing)
{
Result p = ClassifyFunction(test);
ConfusionMatrix[test.Class, p.Class] += 1;
}
}
/// <summary>
/// Initializes a new instance of the <see cref="ValidationJobResult"/> struct.
/// </summary>
/// <param name="job">The job.</param>
/// <param name="confusion">The confusion.</param>
/// <param name="duration">The duration.</param>
/// <remarks></remarks>
public ValidationJobResult(ValidationJob job, ClassConfusionMatrix confusion, TimeSpan duration)
{
Job = job;
Duration = duration;
Confusion = confusion;
JobNumber = 0;
}