SplitResultTModel, TInput, TOutput Class

Information class to store the training and validation errors of a model.

Inheritance Hierarchy

SystemObject
Accord.MachineLearning.PerformanceTrainValSplitSetResultTModel
Accord.MachineLearning.PerformanceSplitResultTModel, 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 SplitResult<TModel, TInput, TOutput> : TrainValSplit<SetResult<TModel>>, 
	ITransform<TInput, TOutput>, ICovariantTransform<TInput, TOutput>, ITransform
where TModel : Object, ITransform<TInput, TOutput>

<SerializableAttribute>
Public Class SplitResult(Of TModel As {Object, ITransform(Of TInput, TOutput)}, TInput, TOutput)
	Inherits TrainValSplit(Of SetResult(Of TModel))
	Implements ITransform(Of TInput, TOutput), ICovariantTransform(Of TInput, TOutput), 
	ITransform

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Type Parameters

TModel
TInput
TOutput

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

Constructors

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

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Properties

	Name	Description
	AverageNumberOfSamples	Gets the average number of samples between the Training and Validation sets.
	Index	Gets or sets the index of this split.
	Model	Gets the model.
	NumberOfInputs	Gets or sets the number of inputs accepted by the model.
	NumberOfOutputs	Gets or sets the number of outputs generated by the model.
	NumberOfSamples	Gets the total number of samples contained in the subset used to teach the Model.
	Tag	Gets or sets a tag for user-defined information.
	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.
	Transform(TInput)	Applies the transformation to a set of input vectors, producing an associated set of output vectors.
	Transform(TInput, TOutput)	Applies the transformation to a set of input vectors, producing an associated set of output vectors.

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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

SplitResultAddLanguageSpecificTextSet("LSTFE5188E3_0?cs=&lt;|vb=(Of |cpp=&lt;|fs=&lt;'|nu=(");TModel, TInput, TOutputAddLanguageSpecificTextSet("LSTFE5188E3_1?cs=&gt;|vb=)|cpp=&gt;|fs=&gt;|nu=)"); Class

Type Parameters

Reference

SplitResultTModel, TInput, TOutput Class