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Showing content from http://accord-framework.net/docs/html/T_Accord_MachineLearning_Performance_TrainTestSplit_1.htm below:

Training-Test split.

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

public class TrainTestSplit<T> : IEnumerable

Public Class TrainTestSplit(Of T)
	Implements IEnumerable

T

The type being separated in training and test splits.

The TrainTestSplitT type exposes the following members.

Initializes a new instance of the TrainTestSplitT class

Gets or sets the testing split.

Gets or sets the training split.

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.

Returns an enumerator that iterates through the 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.

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.

Compares two enumerables for set equality. Two enumerables are set equal if they contain the same elements, but not necessarily in the same order.

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.

System.Collections.GenericIEnumerableT

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