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  • Extreme.Statistics.Multivariate
    • DendrogramNode Class
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    • PartialLeastSquaresModel Class
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  • PartialLeastSquaresModel Class
    • PartialLeastSquaresModel Constructors
    • Properties
    • Methods
  • Methods
    • FitCore Method
    • Predict Method Overloads
    • PredictCore Method Overloads
    • Press Method
    • RootMeanPress Method

PartialLeastSquaresModel Methods

Extreme Optimization Numerical Libraries for .NET Professional

The PartialLeastSquaresModel type exposes the following members.

Methods

  NameDescription
Public methodCompute Obsolete.
Computes the model.
(Inherited from Model.)
Public methodCompute(ParallelOptions) Obsolete.
Computes the model.
(Inherited from Model.)
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 methodFit
Fits the model to the data.
(Inherited from Model.)
Public methodFit(ParallelOptions)
Fits the model to the data.
(Inherited from Model.)
Protected methodFitCore
Computes the model.
(Overrides ModelFitCore(ModelInput, ParallelOptions).)
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 methodPredict(IDataFrame, ModelInputFormat)
Predicts the value of the dependent variables corresponding to the specified features.
Public methodPredict(MatrixDouble, ModelInputFormat)
Predicts the value of the dependent variables corresponding to the specified features.
Public methodPredict(VectorDouble, ModelInputFormat)
Predicts the value of the dependent variables corresponding to the specified features.
Protected methodPredictCore(MatrixDouble)
Predicts the value of the dependent variable based on the specified values of the features.
Public methodPredictCore(VectorDouble)
Predicts the value of the dependent variable based on the specified values of the features.
Public methodPress
Returns the Predicted REsidual Sum of Squares (PRESS) value for the specified test features and targets.
Public methodResetComputation Obsolete.
Clears all fitted model parameters.
(Inherited from Model.)
Public methodResetFit
Clears all fitted model parameters.
(Inherited from Model.)
Public methodRootMeanPress
Returns the square root of the mean of the Predicted REsidual Sum of Squares (PRESS) value for the specified test features and targets.
Public methodSetDataSource
Uses the specified data frame as the source for all input variables.
(Inherited from Model.)
Public methodSummarize
Returns a string containing a human-readable summary of the object using default options.
(Inherited from Model.)
Public methodSummarize(SummaryOptions)
Returns a string containing a human-readable summary of the object using the specified options.
(Inherited from Model.)
Public methodToString
Returns a string that represents the current object.
(Inherited from Model.)
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See Also

Reference

PartialLeastSquaresModel Class
Extreme.Statistics.Multivariate Namespace

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