MultivariateMultiLinearLogisticRegression Method (IReadOnlyListBoolean, IReadOnlyListDouble)

Performs a multivariate linear logistic regression.

Namespace: Meta.Numerics.Statistics
Assembly: Meta.Numerics (in Meta.Numerics.dll) Version: 4.1.4

Syntax

public static MultiLinearLogisticRegressionResult MultiLinearLogisticRegression(
	this IReadOnlyList<bool> yColumn,
	params IReadOnlyList<double>[] xColumns
)

<ExtensionAttribute>
Public Shared Function MultiLinearLogisticRegression ( 
	yColumn As IReadOnlyList(Of Boolean),
	ParamArray xColumns As IReadOnlyList(Of Double)()
) As MultiLinearLogisticRegressionResult

public:
[ExtensionAttribute]
static MultiLinearLogisticRegressionResult^ MultiLinearLogisticRegression(
	IReadOnlyList<bool>^ yColumn, 
	... array<IReadOnlyList<double>^>^ xColumns
)

[<ExtensionAttribute>]
static member MultiLinearLogisticRegression : 
        yColumn : IReadOnlyList<bool> * 
        xColumns : IReadOnlyList<float>[] -> MultiLinearLogisticRegressionResult

Parameters

yColumn: Type: System.Collections.GenericIReadOnlyListBoolean
A column of dependent Boolean variable observations to be predicted.
xColumns: Type: System.Collections.GenericIReadOnlyListDouble
Columns of independent variable observations that serve as inputs to the regression function.

Return Value

Type: MultiLinearLogisticRegressionResult
A multi-linear fit.

Usage Note

In Visual Basic and C#, you can call this method as an instance method on any object of type IReadOnlyListBoolean. When you use instance method syntax to call this method, omit the first parameter. For more information, see Extension Methods (Visual Basic) or Extension Methods (C# Programming Guide).

Exceptions

Exception	Condition
NullReferenceException	yColumn is , or xColumns is , or one of the x-columns is .
DimensionMismatchException	Not all of the columns contain the same number of observations.
InsufficientDataException	There are too few observations to perform the fit.
DivideByZeroException	The curvature matrix is singular, indicating that the data is independent of one or more of the independent variables, or that two or more variables are linearly dependent.

Reference

Multivariate Class

MultiLinearLogisticRegression Overload

Meta.Numerics.Statistics Namespace