Bootstrap Class

Note: This API is now obsolete.

Obsolete. Please use BootstrapTModel, TInput, TOutput instead.

Inheritance Hierarchy

SystemObject
Accord.MachineLearningBootstrap

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

Syntax

[SerializableAttribute]
[ObsoleteAttribute("Please use Bootstrap<TModel, TInput, TOutput> instead.")]
public class Bootstrap

<SerializableAttribute>
<ObsoleteAttribute("Please use Bootstrap<TModel, TInput, TOutput> instead.")>
Public Class Bootstrap

The Bootstrap type exposes the following members.

Constructors

	Name	Description
	Bootstrap(Int32, Int32)	Creates a new Bootstrap estimation algorithm.
	Bootstrap(Int32, Int32)	Creates a new Bootstrap estimation algorithm.
	Bootstrap(Int32, Int32, Int32)	Creates a new Bootstrap estimation algorithm.

Properties

	Name	Description
	B	Gets the number B of bootstrap samplings to be drawn from the population dataset.
	Fitting	Gets or sets the model fitting function.
	RunInParallel	Gets or sets a value indicating whether to use parallel processing through the use of multiple threads or not. Default is true.
	Samples	Gets the total number of samples in the population dataset.
	Subsamples	Gets the bootstrap samples drawn from the population dataset as indices.

Methods

	Name	Description
	Compute	Computes the cross validation algorithm.
	CreatePartitions	Gets the indices for the training and validation sets for the specified validation fold index.
	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.)
	GetHashCode	Serves as the default hash function. (Inherited from Object.)
	GetPartitionSize	Gets the number of instances in training and validation sets for the specified validation fold index.
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	MemberwiseClone	Creates a shallow copy of the current Object. (Inherited from Object.)
	Samplings	Draws the bootstrap samples from the population.
	ToString	Returns a string that represents the current object. (Inherited from Object.)

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.)