LinearRegression(DataFrame, Int32, Boolean, IRegressionCalculation) Constructor

Constructs a LinearRegression instance with the specifed regresssion data and an index to the observation column, optionally adding an intercept parameter. The model parameter values are computed using the specified regression calculator.

Namespace: CenterSpace.NMath.Core
Assembly: NMath (in NMath.dll) Version: 7.4

Syntax

C++

Copy

public LinearRegression(
	DataFrame data,
	int observationIndex,
	bool addIntercept,
	IRegressionCalculation regressionCalculator
)

Public Sub New ( 
	data As DataFrame,
	observationIndex As Integer,
	addIntercept As Boolean,
	regressionCalculator As IRegressionCalculation
)

public:
LinearRegression(
	DataFrame^ data, 
	int observationIndex, 
	bool addIntercept, 
	IRegressionCalculation^ regressionCalculator
)

new : 
        data : DataFrame * 
        observationIndex : int * 
        addIntercept : bool * 
        regressionCalculator : IRegressionCalculation -> LinearRegression

Parameters

data DataFrame: Regression data.
observationIndex Int32: Index of column of observations.
addIntercept Boolean: If true, a column of ones is prepended onto the data in the regression data data, thus adding an intercept to the model. If false, the data in the regression data is used as given.
regressionCalculator IRegressionCalculation: A regression calculation object. Must implement the IRegressionCalculation interface.

Reference

LinearRegression Class

LinearRegression Overload

CenterSpace.NMath.Core Namespace