Interface IExtendedDataset<T, TInput, TOutput>

Namespace

AiDotNet.Interfaces

Assembly

AiDotNet.dll

Extended dataset interface with additional metadata and features.

public interface IExtendedDataset<T, TInput, TOutput> : IDataset<T, TInput, TOutput>

Type Parameters

T

The numeric type used for calculations.

TInput

The type of input features.

TOutput

The type of output labels.

Inherited Members

IDataset<T, TInput, TOutput>.Count

IDataset<T, TInput, TOutput>.Inputs

IDataset<T, TInput, TOutput>.Outputs

IDataset<T, TInput, TOutput>.HasLabels

IDataset<T, TInput, TOutput>.GetInput(int)

IDataset<T, TInput, TOutput>.GetOutput(int)

IDataset<T, TInput, TOutput>.GetSample(int)

IDataset<T, TInput, TOutput>.Subset(int[])

IDataset<T, TInput, TOutput>.Except(int[])

IDataset<T, TInput, TOutput>.Merge(IDataset<T, TInput, TOutput>)

IDataset<T, TInput, TOutput>.AddSamples(TInput[], TOutput[])

IDataset<T, TInput, TOutput>.RemoveSamples(int[])

IDataset<T, TInput, TOutput>.UpdateLabels(int[], TOutput[])

IDataset<T, TInput, TOutput>.Shuffle(Random)

IDataset<T, TInput, TOutput>.Split(double, Random)

IDataset<T, TInput, TOutput>.GetIndices()

IDataset<T, TInput, TOutput>.Clone()

Extension Methods

DatasetExtensions.GetAllDataPoints<T, TInput, TOutput>(IDataset<T, TInput, TOutput>, int)

DatasetExtensions.GetDataPointsAt<T, TInput, TOutput>(IDataset<T, TInput, TOutput>, IEnumerable<int>, int)

Properties

ClassCount

Gets the number of classes for classification problems.

int ClassCount { get; }

Property Value

int

Remarks

Returns 0 for regression problems.

ClassLabels

Gets the unique class labels for classification problems.

IReadOnlyList<TOutput>? ClassLabels { get; }

Property Value

IReadOnlyList<TOutput>

FeatureCount

Gets the number of features per input sample.

int FeatureCount { get; }

Property Value

int

FeatureNames

Gets the feature names if available.

IReadOnlyList<string>? FeatureNames { get; }

Property Value

IReadOnlyList<string>

IsClassification

Gets whether this is a classification or regression dataset.

bool IsClassification { get; }

Property Value

bool

Metadata

Gets metadata for the dataset.

DatasetMetadata? Metadata { get; }

Property Value

DatasetMetadata

SampleWeights

Gets the sample weights if available.

IReadOnlyList<T>? SampleWeights { get; }

Property Value

IReadOnlyList<T>