BoostBaseTModel, TWeighted, TInput Class

Boosted classification model.

Inheritance Hierarchy

SystemObject
  Accord.MachineLearningTransformBaseTInput, Boolean
    Accord.MachineLearningClassifierBaseTInput, Boolean
      Accord.MachineLearningBinaryClassifierBaseTInput
        Accord.MachineLearning.BoostingBoostBaseTModel, TWeighted, TInput
          Accord.MachineLearning.BoostingBoostTModel
          Accord.MachineLearning.BoostingBoostTModel, TInput

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

Syntax

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[SerializableAttribute]
public class BoostBase<TModel, TWeighted, TInput> : BinaryClassifierBase<TInput>, 
	IEnumerable
where TModel : Object, IClassifier<TInput, int>
where TWeighted : new(), Weighted<TModel, TInput>

<SerializableAttribute>
Public Class BoostBase(Of TModel As {Object, IClassifier(Of TInput, Integer)}, TWeighted As {New, Weighted(Of TModel, TInput)}, TInput)
	Inherits BinaryClassifierBase(Of TInput)
	Implements IEnumerable

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Type Parameters

TModel: The type of the weak classifier.
TWeighted: The type of the weighted classifier.
TInput: The type of the input vectors accepted by the classifier.

The BoostBaseTModel, TWeighted, TInput type exposes the following members.

Constructors

	Name	Description
	BoostBaseTModel, TWeighted, TInput	Initializes a new instance of the BoostTModel class.
	BoostBaseTModel, TWeighted, TInput(IListDouble, IListTModel)	Initializes a new instance of the BoostTModel class.

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Properties

	Name	Description
	Item	Gets or sets the WeightedTModel at the specified index.
	Models	Gets the list of weighted weak models contained in this boosted classifier.
	NumberOfClasses	Gets the number of classes expected and recognized by the classifier. (Inherited from ClassifierBaseTInput, TClasses.)
	NumberOfInputs	Gets the number of inputs accepted by the model. (Inherited from TransformBaseTInput, TOutput.)
	NumberOfOutputs	Gets the number of outputs generated by the model. (Inherited from TransformBaseTInput, TOutput.)

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Methods

	Name	Description
	Add	Adds a new weak classifier and its corresponding weight to the end of this boosted classifier.
	Decide(TInput)	Computes class-label decisions for a given set of input vectors. (Inherited from ClassifierBaseTInput, TClasses.)
	Decide(TInput)	Computes a class-label decision for a given input. (Overrides ClassifierBaseTInput, TClassesDecide(TInput).)
	Decide(TInput, Boolean)	Computes class-label decisions for the given input. (Inherited from BinaryClassifierBaseTInput.)
	Decide(TInput, TClasses)	Computes a class-label decision for a given input. (Inherited from ClassifierBaseTInput, TClasses.)
	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 this collection.
	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.)
	ToMulticlass	Views this instance as a multi-class classifier, giving access to more advanced methods, such as the prediction of integer labels. (Inherited from BinaryClassifierBaseTInput.)
	ToMultilabel	Views this instance as a multi-label classifier, giving access to more advanced methods, such as the prediction of one-hot vectors. (Inherited from BinaryClassifierBaseTInput.)
	ToString	Returns a string that represents the current object. (Inherited from Object.)
	Transform(TInput)	Applies the transformation to an input, producing an associated output. (Inherited from ClassifierBaseTInput, TClasses.)
	Transform(TInput)	Applies the transformation to a set of input vectors, producing an associated set of output vectors. (Inherited from TransformBaseTInput, TOutput.)
	Transform(TInput, Boolean)	Applies the transformation to an input, producing an associated output. (Inherited from BinaryClassifierBaseTInput.)
	Transform(TInput, Double)	Applies the transformation to an input, producing an associated output. (Inherited from BinaryClassifierBaseTInput.)
	Transform(TInput, Int32)	Applies the transformation to an input, producing an associated output. (Inherited from BinaryClassifierBaseTInput.)
	Transform(TInput, Boolean)	Applies the transformation to an input, producing an associated output. (Inherited from BinaryClassifierBaseTInput.)
	Transform(TInput, Double)	Applies the transformation to an input, producing an associated output. (Inherited from BinaryClassifierBaseTInput.)
	Transform(TInput, Double)	Applies the transformation to an input, producing an associated output. (Inherited from BinaryClassifierBaseTInput.)
	Transform(TInput, Int32)	Applies the transformation to an input, producing an associated output. (Inherited from BinaryClassifierBaseTInput.)
	Transform(TInput, Int32)	Applies the transformation to an input, producing an associated output. (Inherited from BinaryClassifierBaseTInput.)
	Transform(TInput, TClasses)	Applies the transformation to an input, producing an associated output. (Inherited from ClassifierBaseTInput, TClasses.)

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

BoostBaseAddLanguageSpecificTextSet("LSTEEA2A469_0?cs=&lt;|vb=(Of |cpp=&lt;|fs=&lt;'|nu=(");TModel, TWeighted, TInputAddLanguageSpecificTextSet("LSTEEA2A469_1?cs=&gt;|vb=)|cpp=&gt;|fs=&gt;|nu=)"); Class

Type Parameters

Reference

BoostBaseTModel, TWeighted, TInput Class