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  • Extreme.DataAnalysis.Models
    • ClassificationModel(T) Class
    • ClusteringModel(T) Class
    • ITransformationModel Interface
    • Model Class
    • ModelExtensions Class
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    • ModelInput Class
    • ModelInputCategory Enumeration
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    • ModelInputGroup Class
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    • ModelTerm Class
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    • ModelTermKind Enumeration
    • RegressionModel(T) Class
    • TransformationModel(T) Class
  • ModelInput Class
    • Properties
    • Methods

ModelInput Class

Extreme Optimization Numerical Libraries for .NET Professional
Represents the (possibly incomplete) training input to a statistical or machine learning model.
Inheritance Hierarchy

SystemObject
  Extreme.DataAnalysis.ModelsModelInput

Namespace:  Extreme.DataAnalysis.Models
Assembly:  Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.1
Syntax

C#
VB
C++
F#
Copy
public class ModelInput
Public Class ModelInput
public ref class ModelInput
type ModelInput =  class end

The ModelInput type exposes the following members.

Properties

  NameDescription
Public propertyDependentVariables Obsolete.
Gets the input group that contains the dependent variable(s).
Public propertyFeatures
Gets the input group that contains the features.
Public propertyGrouping
Gets the input group that contains the grouping variable(s).
Public propertyIndependentVariables Obsolete.
Gets the input group that contains the dependent variable(s).
Public propertyItemSlice
Returns a new model input containing only the specified rows.
Public propertyItemVectorBoolean
Returns a new model input containing only the specified rows.
Public propertyItemVectorInt32
Returns a new model input containing only the specified rows.
Public propertyOffsets
Gets the input group that contains the offset variable(s).
Public propertyTargets
Gets the input group that contains the features.
Public propertyWeights
Gets the input group that contains the weights.
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Methods

  NameDescription
Public methodEquals
Determines whether the specified object is equal to the current object.
(Inherited from Object.)
Protected methodFinalize
Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.
(Inherited from Object.)
Public methodGetHashCode
Serves as the default hash function.
(Inherited from Object.)
Public methodGetType
Gets the Type of the current instance.
(Inherited from Object.)
Protected methodMemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)
Public methodPopulate(IDataFrame)
Populates the groups using the specified data frame.
Public methodPopulate(VectorDouble, MatrixDouble, Boolean, VectorDouble)
Populates the groups using the specified vectors and matrices.
Public methodPopulateFromFormula
Populates the groups using the specified data frame based on the specified formula.
Public methodToString
Returns a string that represents the current object.
(Inherited from Object.)
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Remarks

Use the ModelInput class to collect all information that serves as training input to a model in one place.

The information in a ModelInput may be incomplete. It may even be completely empty. When the model is fitted, any information in the ModelInput is combined with the supplied data to produce the prepared fitting data (design matrix).

See Also

Reference

Extreme.DataAnalysis.Models Namespace

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