Class BenchmarkResult<T>

Namespace

AiDotNet.SelfSupervisedLearning.Evaluation

Assembly

AiDotNet.dll

Result from a single benchmark evaluation.

public class BenchmarkResult<T>

Type Parameters

T

Inheritance

object

BenchmarkResult<T>

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Properties

AdditionalMetrics

Additional metrics (e.g., different k values for k-NN).

public Dictionary<string, T> AdditionalMetrics { get; set; }

Property Value

Dictionary<string, T>

Protocol

The evaluation protocol used.

public BenchmarkProtocol Protocol { get; set; }

Property Value

BenchmarkProtocol

SamplePercentage

Percentage of training data used (for few-shot).

public double SamplePercentage { get; set; }

Property Value

double

Top1Accuracy

Top-1 classification accuracy.

public double Top1Accuracy { get; set; }

Property Value

double

Top5Accuracy

Top-5 classification accuracy.

public double Top5Accuracy { get; set; }

Property Value

double

TrainingHistory

Training accuracy history.

public List<double> TrainingHistory { get; set; }

Property Value

List<double>

ValidationHistory

Validation accuracy history.

public List<double> ValidationHistory { get; set; }

Property Value

List<double>