LinearRegression(DataFrame, IDFColumn, Boolean, IRegressionCalculation) Constructor

Constructs a LinearRegression instance with the specifed regresssion data and 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,
	IDFColumn observations,
	bool addIntercept,
	IRegressionCalculation regressionCalculator
)

Public Sub New ( 
	data As DataFrame,
	observations As IDFColumn,
	addIntercept As Boolean,
	regressionCalculator As IRegressionCalculation
)

public:
LinearRegression(
	DataFrame^ data, 
	IDFColumn^ observations, 
	bool addIntercept, 
	IRegressionCalculation^ regressionCalculator
)

new : 
        data : DataFrame * 
        observations : IDFColumn * 
        addIntercept : bool * 
        regressionCalculator : IRegressionCalculation -> LinearRegression

Parameters

data DataFrame: Regression data.
observations IDFColumn: 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.

Exceptions

Exception	Condition
MismatchedSizeException	Thrown if the number of rows in the regression matrix is not equal to the length of the observation vector.

Reference

LinearRegression Class

LinearRegression Overload

CenterSpace.NMath.Core Namespace