GridSearchResultTModel, TParam, TInput, TOutput Class

Contains results from the grid-search procedure.

Inheritance Hierarchy

SystemObject
Accord.MachineLearning.PerformanceGridSearchResultTModel, TParam, TInput, TOutput
Accord.MachineLearning.PerformanceGridSearchResultTModel, TInput, TOutput

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

Syntax

Copy

[SerializableAttribute]
public class GridSearchResult<TModel, TParam, TInput, TOutput> : ITransform<TInput, TOutput>, 
	ICovariantTransform<TInput, TOutput>, ITransform
where TModel : class, Object, ITransform<TInput, TOutput>

<SerializableAttribute>
Public Class GridSearchResult(Of TModel As {Class, Object, ITransform(Of TInput, TOutput)}, TParam, TInput, TOutput)
	Implements ITransform(Of TInput, TOutput), ICovariantTransform(Of TInput, TOutput), 
	ITransform

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Type Parameters

TModel: The type of the machine learning model whose parameters should be searched.
TParam: The type that specifies how the value for a single parameter is represented.
TInput: The type of the input data. Default is double[].
TOutput: The type of the output data. Default is int.

The GridSearchResultTModel, TParam, TInput, TOutput type exposes the following members.

Constructors

	Name	Description
	GridSearchResultTModel, TParam, TInput, TOutput	Initializes a new instance of the GridSearchResultTModel, TParam, TInput, TOutput class

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Properties

	Name	Description
	BestModel	Gets the best model found.
	BestModelError	Gets the minimum validation error found. If this result has been retrieved through Grid-Search Cross-Validation, this will correspond to the minimum average validation error for the different data splits (validation folds).
	BestModelIndex	Gets the index of the best found model in the Models collection.
	BestParameters	Gets the best parameter combination found.
	Count	Gets the size of the grid used in the grid-search.
	Errors	Gets the error for each of the created models.
	Exceptions	Gets exceptions found during the learning of each of the created models, if any.
	Models	Gets all models created during the search.
	NumberOfInputs	Gets the number of inputs accepted by the model.
	NumberOfOutputs	Gets the number of outputs generated by the model.
	Parameters	Gets all combination of parameters tried.

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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.)
	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

Accord.MachineLearning.PerformanceGridSearch

GridSearchResultAddLanguageSpecificTextSet("LST17644EF1_0?cs=&lt;|vb=(Of |cpp=&lt;|fs=&lt;'|nu=(");TModel, TParam, TInput, TOutputAddLanguageSpecificTextSet("LST17644EF1_1?cs=&gt;|vb=)|cpp=&gt;|fs=&gt;|nu=)"); Class

Type Parameters

Reference

GridSearchResultTModel, TParam, TInput, TOutput Class