Classifier<T> Class

Represents a model that predicts a discrete value based on a set of numerical inputs.

Definition

Namespace: Numerics.NET.DataAnalysis.Models
Assembly: Numerics.NET (in Numerics.NET.dll) Version: 9.1.5

public abstract class Classifier<T>

Visual Basic

Public MustInherit Class Classifier(Of T)

C++/CLI

generic<typename T>
public ref class Classifier abstract

[<AbstractClassAttribute>]
type Classifier<'T> = class end

Constructs a new classifier.

Gets the number of classes observations are classified into.

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)
Predict(Matrix<T>)	Predicts the class of the observation based on the supplied features.
Predict(Vector<T>)	Predicts the class of the observation based on the supplied features.
PredictLogProbabilities(Matrix<T>, Matrix<T>)	Predicts the logarithms of the probabilities for the possible outcomes based on the supplied features.
PredictLogProbabilities(Vector<T>, Vector<T>)	Predicts the natural logarithms of the probabilities for the possible outcomes based on the supplied features.
PredictProbabilities(Matrix<T>, Matrix<T>)	Predicts the probabilities for the possible outcomes based on the supplied features.
PredictProbabilities(Vector<T>, Vector<T>)	Predicts the probabilities for the possible outcomes based on the supplied features.
ToString	Returns a string that represents the current object. (Inherited from Object)