PartialLeastSquaresModel.PredictCore Method

Definition

Namespace: Extreme.Statistics.Multivariate
Assembly: Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.23

PredictCore(Matrix<Double>)	Predicts the value of the dependent variable based on the specified values of the features.
PredictCore(Vector<Double>)	Predicts the value of the dependent variable based on the specified values of the features.

Predicts the value of the dependent variable based on the specified values of the features.

protected virtual Matrix<double> PredictCore(
	Matrix<double> features
)

Visual Basic

Protected Overridable Function PredictCore ( 
	features As Matrix(Of Double)
) As Matrix(Of Double)

C++/CLI

protected:
virtual Matrix<double>^ PredictCore(
	Matrix<double>^ features
)

abstract PredictCore : 
        features : Matrix<float> -> Matrix<float> 
override PredictCore : 
        features : Matrix<float> -> Matrix<float>

features Matrix<Double>: A matrix containing the values for the independent variables.

Matrix<Double>
A matrix of the values of the dependent variables predicted by the regression for each row in features.

ArgumentNullException	features is null.
DimensionMismatchException	The number of columns of features does not match the required number of values.

Predicts the value of the dependent variable based on the specified values of the features.

public Vector<double> PredictCore(
	Vector<double> features
)

Visual Basic

Public Function PredictCore ( 
	features As Vector(Of Double)
) As Vector(Of Double)

C++/CLI

public:
Vector<double>^ PredictCore(
	Vector<double>^ features
)

member PredictCore : 
        features : Vector<float> -> Vector<float>

features Vector<Double>: A vector containing the values for the independent variables.

Vector<Double>
A vector containing the values of the dependent variables predicted by the regression.

ArgumentNullException	features is null.
DimensionMismatchException	The length of features does not match the required number of values.