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Showing content from http://accord-framework.net/docs/html/T_Accord_MachineLearning_Performance_GridSearchResult_3.htm below:

Contains results from the grid-search procedure.

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

public class GridSearchResult<TModel, TInput, TOutput> : GridSearchResult<TModel, GridSearchParameterCollection, TInput, TOutput>
where TModel : class, Object, ITransform<TInput, TOutput>

Public Class GridSearchResult(Of TModel As {Class, Object, ITransform(Of TInput, TOutput)}, TInput, TOutput)
	Inherits GridSearchResult(Of TModel, GridSearchParameterCollection, TInput, TOutput)

TModel

The type of the machine learning model whose parameters should be searched.

TInput

The type of the input data. Default is double[].

TOutput

The type of the output data. Default is int.

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

Gets the best model found.

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).

Gets the index of the best found model in the

collection.

Gets the best parameter combination found.

Gets the size of the grid used in the grid-search.

Gets the error for each of the created models.

Gets exceptions found during the learning of each of the created models, if any.

Gets all models created during the search.

Gets the number of inputs accepted by the model.

Gets the number of outputs generated by the model.

Gets all combination of parameters tried.

Determines whether the specified object is equal to the current object.

Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.

Serves as the default hash function.

Gets the Type of the current instance.

Creates a shallow copy of the current Object.

Returns a string that represents the current object.

Applies the transformation to an input, producing an associated output.

Applies the transformation to a set of input vectors, producing an associated set of output vectors.

Applies the transformation to a set of input vectors, producing an associated set of output vectors.

Checks whether an object implements a method with the given name.

Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices.

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.

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.

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