Accord.NET Framework

Accord.NET Framework

Framework modules

Accord.MachineLearning

BagOfWords Class

BagOfWords(TInput) Class

BagOfWords(TInput, TClustering) Class

BagOfWordsStatistics Class

BalancedKMeans Class

BaseBagOfWords(TModel, TInput, TClustering) Class

BaseBagOfWords(TModel, TPoint, TFeature, TClustering, TExtractor, TInput) Class

BaseBatches(TBatch, TInput) Class

BaseKNearestNeighbors(TModel, TInput, TDistance) Class

Batches(TInput, TOutput) Class

BinaryClassifierBase(TInput) Class

BinaryLearningBase(TModel, TInput) Class

BinaryLikelihoodClassifierBase(TInput) Class

BinaryScoreClassifierBase(TInput) Class

BinarySplit Class

BoltzmannExploration Class

Bootstrap Class

BootstrapFittingFunction Delegate

BootstrapResult Class

BootstrapValues Class

CentroidCluster(TCollection, TData, TCluster) Class

CentroidCluster(TCollection, TData, TCentroid, TCluster) Class

ClassifierBase(TInput, TClasses) Class

ClassPair Structure

Cluster(TCollection, TData, TCluster) Class

CrossValidation Class

CrossValidation(TModel) Class

CrossValidationFittingFunction(TModel) Delegate

CrossValidationResult(TModel) Class

CrossValidationStatistics Class

CrossValidationValues Class

CrossValidationValues(TModel) Class

Decision Structure

EarlyStopping(TModel) Class

EpsilonGreedyExploration Class

GaussianClusterCollection Class

GaussianClusterCollection.GaussianCluster Class

GaussianMixtureModel Class

GaussianMixtureModelOptions Class

GridSearch(TModel) Class

GridSearchFittingFunction(TModel) Delegate

GridSearchParameter Structure

GridSearchParameterCollection Class

GridSearchRange Class

GridSearchRangeCollection Class

GridSearchResult(TModel) Class

IBagOfWords(T) Interface

IBinaryClassifier Interface

IBinaryClassifier(TInput) Interface

IBinaryLikelihoodClassifier(TInput) Interface

IBinaryScoreClassifier(TInput) Interface

ICentroidClusterCollection(TData, TCluster) Interface

ICentroidClusterCollection(TData, TCentroids, TCluster) Interface

IClassifier Interface

IClassifier(TInput, TClasses) Interface

IClusterCollection(TData) Interface

IClusterCollection(TData, TCluster) Interface

IClusterCollectionEx(TData, TCluster) Interface

IClusteringAlgorithm(TData) Interface

IClusteringAlgorithm(TData, TWeights) Interface

ICovariantTransform(TInput, TOutput) Interface

IDescriptiveLearning(TModel, TInput) Interface

IExplorationPolicy Interface

IGenerative(TInput) Interface

ILikelihoodTagger(TInput) Interface

IMulticlassClassifier Interface

IMulticlassClassifier(TInput) Interface

IMulticlassClassifier(TInput, TClasses) Interface

IMulticlassLikelihoodClassifier(TInput) Interface

IMulticlassLikelihoodClassifier(TInput, TClasses) Interface

IMulticlassLikelihoodClassifierBase(TInput, TClasses) Interface

IMulticlassOutLikelihoodClassifier(TInput, TClasses) Interface

IMulticlassOutScoreClassifier(TInput, TClasses) Interface

IMulticlassRefLikelihoodClassifier(TInput, TClasses) Interface

IMulticlassRefScoreClassifier(TInput, TClasses) Interface

IMulticlassScoreClassifier(TInput) Interface

IMulticlassScoreClassifier(TInput, TClasses) Interface

IMulticlassScoreClassifierBase(TInput, TClasses) Interface

IMultilabelClassifier Interface

IMultilabelClassifier(TInput) Interface

IMultilabelClassifier(TInput, TClasses) Interface

IMultilabelLikelihoodClassifier(TInput) Interface

IMultilabelLikelihoodClassifier(TInput, TClasses) Interface

IMultilabelLikelihoodClassifierBase(TInput, TClasses) Interface

IMultilabelOutLikelihoodClassifier(TInput, TClasses) Interface

IMultilabelOutScoreClassifier(TInput, TClasses) Interface

IMultilabelRefLikelihoodClassifier(TInput, TClasses) Interface

IMultilabelRefScoreClassifier(TInput, TClasses) Interface

IMultilabelScoreClassifier(TInput) Interface

IMultilabelScoreClassifier(TInput, TClasses) Interface

IMultilabelScoreClassifierBase(TInput, TClasses) Interface

IMultipleRegression(TInput) Interface

IMultipleRegression(TInput, TOutput) Interface

IMultipleTransform(TInput, TOutput) Interface

InnerParameters(TBinary, TInput) Class

InverseDocumentFrequency Enumeration

IParallel Interface

IRegression(TInput) Interface

IRegression(TInput, TOutput) Interface

IScoreTagger(TInput) Interface

ISupervisedBinaryLearning(TModel) Interface

ISupervisedBinaryLearning(TModel, TInput) Interface

ISupervisedLearning(TModel, TInput, TOutput) Interface

ISupervisedMulticlassLearning(TModel) Interface

ISupervisedMulticlassLearning(TModel, TInput) Interface

ISupervisedMultilabelLearning(TModel) Interface

ISupervisedMultilabelLearning(TModel, TInput) Interface

ISupportsCancellation Interface

ITagger(TInput) Interface

ITransform Interface

ITransform(TInput) Interface

ITransform(TInput, TOutput) Interface

IUnsupervisedLearning(TModel, TInput, TOutput) Interface

KMeansClusterCollection Class

KMeansClusterCollection.KMeansCluster Class

KMedoids(T) Class

KMedoidsClusterCollection(T) Class

KMedoidsClusterCollection(T).KMedoidsCluster Class

KModes(T) Class

KModesClusterCollection(T) Class

KModesClusterCollection(T).KModesCluster Class

KNearestNeighbors Class

KNearestNeighbors(TInput) Class

LikelihoodTaggerBase(TInput) Class

MeanShift Class

MeanShiftClusterCollection Class

MeanShiftClusterCollection.MeanShiftCluster Class

MiniBatches Class

MiniBatches(TInput) Class

MiniBatchKMeans Class

MinimumMeanDistanceClassifier Class

ModelStorageMode Enumeration

MulticlassClassifierBase Class

MulticlassClassifierBase(TInput) Class

MulticlassLearningBase(TModel) Class

MulticlassLearningBase(TModel, TInput) Class

MulticlassLikelihoodClassifierBase(TInput) Class

MulticlassScoreClassifierBase(TInput) Class

MultilabelClassifierBase(TInput) Class

MultilabelLikelihoodClassifierBase(TInput) Class

MultilabelScoreClassifierBase(TInput) Class

MultipleTransformBase(TInput, TOutput) Class

OneVsOne(TBinary) Class

OneVsOne(TBinary, TInput) Class

OneVsOneLearning(TBinary, TModel) Class

OneVsOneLearning(TInput, TBinary, TModel) Class

OneVsRest(TModel) Class

OneVsRest(TModel, TInput) Class

OneVsRestLearning(TBinary, TModel) Class

OneVsRestLearning(TInput, TBinary, TModel) Class

ParallelLearningBase Class

QLearning Class

RANSAC(TModel) Class

RouletteWheelExploration Class

ScoreTaggerBase(TInput) Class

Seeding Enumeration

ShuffleMethod Enumeration

SplitSetResult(TModel) Class

SplitSetStatistics Class

SplitSetStatistics(TModel) Class

SplitSetValidation Class

SplitSetValidation(TModel) Class

SplitValidationEvaluateFunction(TModel) Delegate

SplitValidationFittingFunction(TModel) Delegate

SubproblemEventArgs Class

TabuSearchExploration Class

TaggerBase(TInput) Class

TermFrequency Enumeration

TransformBase Class

TransformBase(TInput) Class

TransformBase(TInput, TOutput) Class

VoronoiIteration Class

VoronoiIteration(T) Class

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SplitValidationFittingFunctionTModel Delegate

Note: This API is now obsolete.

Obsolete. Please use SplitSetValidationTModel, TInput, TOutput instead.

Namespace: Accord.MachineLearning
Assembly: Accord.MachineLearning (in Accord.MachineLearning.dll) Version: 3.8.0

Syntax

[ObsoleteAttribute("Please refer to SplitSetValidation<TModel, TInput> instead.")]
public delegate SplitSetStatistics<TModel> SplitValidationFittingFunction<TModel>(
	int[] trainingSamples
)
where TModel : class

<ObsoleteAttribute("Please refer to SplitSetValidation<TModel, TInput> instead.")>
Public Delegate Function SplitValidationFittingFunction(Of TModel As Class) ( 
	trainingSamples As Integer()
) As SplitSetStatistics(Of TModel)

Parameters

trainingSamples: Type: SystemInt32

Type Parameters

TModel

Return Value

Type: SplitSetStatisticsTModel

See Also

Reference

Accord.MachineLearning Namespace

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