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MultivariateMultiLinearLogisticRegression Method (IReadOnlyListBoolean, IReadOnlyDictionaryString, IReadOnlyListDouble)

Performs a multivariate linear logistic regression on the named columns.

Namespace:  Meta.Numerics.Statistics
Assembly:  Meta.Numerics (in Meta.Numerics.dll) Version: 4.0.5.0 (4.0.5.0)
Syntax
public static MultiLinearLogisticRegressionResult MultiLinearLogisticRegression(
	this IReadOnlyList<bool> yColumn,
	IReadOnlyDictionary<string, IReadOnlyList<double>> xColumnDictionary
)

Parameters

yColumn
Type: System.Collections.GenericIReadOnlyListBoolean
A column of dependent Boolean variable observations to be predicted.
xColumnDictionary
Type: System.Collections.GenericIReadOnlyDictionaryString, IReadOnlyListDouble
A dictionary of 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
ExceptionCondition
NullReferenceExceptionyColumn is , or xColumnDictionary is , or one of the x-columns is .
DimensionMismatchExceptionNot all of the columns contain the same number of observations.
InsufficientDataExceptionThere are too few observations to perform the fit.
DivideByZeroExceptionThe 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.
See Also