BootstrapResultTModel, TInput, TOutput Class

Bootstrap validation analysis results.

Inheritance Hierarchy

SystemObject
  Accord.MachineLearning.PerformanceTrainValSplitCrossValidationStatistics
    Accord.MachineLearning.PerformanceCrossValidationResultTModel, TInput, TOutput
      Accord.MachineLearning.PerformanceBootstrapResultTModel, TInput, TOutput

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

Syntax

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[SerializableAttribute]
public class BootstrapResult<TModel, TInput, TOutput> : CrossValidationResult<TModel, TInput, TOutput>
where TModel : class, Object, ITransform<TInput, TOutput>

<SerializableAttribute>
Public Class BootstrapResult(Of TModel As {Class, Object, ITransform(Of TInput, TOutput)}, TInput, TOutput)
	Inherits CrossValidationResult(Of TModel, TInput, TOutput)

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Type Parameters

TModel
TInput
TOutput

The BootstrapResultTModel, TInput, TOutput type exposes the following members.

Constructors

	Name	Description
	BootstrapResultTModel, TInput, TOutput	Initializes a new instance of the BootstrapResultTModel, TInput, TOutput class.

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Properties

	Name	Description
	AverageNumberOfSamples	Gets the average number of data samples in each cross-validation fold of the data set. (Inherited from CrossValidationResultTModel, TInput, TOutput.)
	CombineMethod	Gets or sets the method used to combine the scores of different classifiers. (Inherited from CrossValidationResultTModel, TInput, TOutput.)
	Estimate	Gets the 0.632 bootstrap estimate.
	Models	Gets the models created for each fold of the cross validation. (Inherited from CrossValidationResultTModel, TInput, TOutput.)
	NumberOfInputs	Gets the number of inputs accepted by the model. (Inherited from CrossValidationResultTModel, TInput, TOutput.)
	NumberOfOutputs	Gets the number of outputs generated by the model. (Inherited from CrossValidationResultTModel, TInput, TOutput.)
	NumberOfSamples	Gets the total number of data samples in the entire data set. (Inherited from CrossValidationResultTModel, TInput, TOutput.)
	NumberOfSubsamples	Gets the number of subsamples taken to compute the bootstrap estimate.
	Tag	Gets or sets a tag for user-defined information. (Inherited from CrossValidationResultTModel, TInput, TOutput.)
	Training	Gets or sets the training split. (Inherited from TrainValSplitT.)
	Validation	Gets or sets the validation split. (Inherited from TrainValSplitT.)

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Methods

	Name	Description
	Equals	Determines whether the specified object is equal to the current object. (Inherited from Object.)
	Finalize	Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.)
	GetEnumerator	Returns an enumerator that iterates through the collection. (Inherited from TrainValSplitT.)
	GetHashCode	Serves as the default hash function. (Inherited from Object.)
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	MemberwiseClone	Creates a shallow copy of the current Object. (Inherited from Object.)
	ToString	Returns a string that represents the current object. (Inherited from Object.)
	Transform(TInput)	Applies the transformation to an input, producing an associated output. (Inherited from CrossValidationResultTModel, TInput, TOutput.)
	Transform(TInput)	Applies the transformation to a set of input vectors, producing an associated set of output vectors. (Inherited from CrossValidationResultTModel, TInput, TOutput.)
	Transform(TInput, TOutput)	Applies the transformation to a set of input vectors, producing an associated set of output vectors. (Inherited from CrossValidationResultTModel, TInput, TOutput.)

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Extension Methods

	Name	Description
	HasMethod	Checks whether an object implements a method with the given name. (Defined by ExtensionMethods.)
	IsEqual	Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices. (Defined by Matrix.)
	To(Type)	Overloaded. Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime. (Defined by ExtensionMethods.)
	ToT	Overloaded. Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime. (Defined by ExtensionMethods.)

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Reference

Accord.MachineLearning.Performance Namespace

BootstrapResultAddLanguageSpecificTextSet("LST8721D34C_0?cs=&lt;|vb=(Of |cpp=&lt;|fs=&lt;'|nu=(");TModel, TInput, TOutputAddLanguageSpecificTextSet("LST8721D34C_1?cs=&gt;|vb=)|cpp=&gt;|fs=&gt;|nu=)"); Class

Type Parameters

Reference

BootstrapResultTModel, TInput, TOutput Class