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  • Extreme.DataAnalysis.Models
    • ClassificationModel(T) Class
    • ClusteringModel(T) Class
    • ITransformationModel Interface
    • Model Class
    • ModelExtensions Class
    • ModelFitOptions Class
    • ModelInput Class
    • ModelInputCategory Enumeration
    • ModelInputFormat Enumeration
    • ModelInputGroup Class
    • ModelSerialization Enumeration
    • ModelStatus Enumeration
    • ModelTerm Class
    • ModelTermCollection Class
    • ModelTermKind Enumeration
    • RegressionModel(T) Class
    • TransformationModel(T) Class

Extreme.DataAnalysis.Models Namespace

Extreme Optimization Numerical Libraries for .NET Professional
The Extreme.DataAnalysis namespace contains classes used when working with statistical and machine learning models.
Classes

  ClassDescription
Public classClassificationModelT
Represents a statistical model used for classification.
Public classClusteringModelT
Serves as the base class for classes that build clustering models.
Public classModel
Represents a statistical model.
Public classModelExtensions
Contains extension methods for statistical and machine learning models.
Public classModelFitOptions
Represents the options available when fitting a statistical or machine learning model.
Public classModelInput
Represents the (possibly incomplete) training input to a statistical or machine learning model.
Public classModelInputGroup
Represents a group of variables with a specific purpose in a statistical or machine learning model.
Public classModelTerm
Represents a term in a model specification.
Public classModelTermCollection
Represents a collection of terms in a model specification.
Public classRegressionModelT
Represents a statistical model.
Public classTransformationModelT
Serves a the base class for classes that represent transformation-like models.
Interfaces

  InterfaceDescription
Public interfaceITransformationModel
Specifies common methods and properties for models that implement transformations such as feature selection or dimensionality reduction.
Enumerations

  EnumerationDescription
Public enumerationModelInputCategory
Enumerates the categories or roles of variables in a statistical or machine learning model.
Public enumerationModelInputFormat
Enumerates the format of the input to a model when making predictions.
Public enumerationModelSerialization
Gets or sets the way a statistical model is serialized or deserialized.
Public enumerationModelStatus
Enumerates the possible states of a statistical or machine learning model.
Public enumerationModelTermKind
Enumerates the possible kinds of model terms.

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