MultinomialRegressionGetFittedParameters Method

The result B is a (P+1)-by-(K-1) matrix of estimate. Each column corresponds to the estimated intercept term and predictor coefficients, one for each of the first K-1 multinomial categories. The estimates for the K-th category are taken to be zero.

Namespace: FinMath.LeastSquares
Assembly: FinMath (in FinMath.dll) Version: 2.4.7-0a995bd0ea1854c2c868ec3f8dae606c5777e170

Syntax

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public Matrix GetFittedParameters()

Return Value

Type: Matrix
(P+1)-by-(K-1) matrix of estimate.

Reference

MultinomialRegression Class

FinMath.LeastSquares Namespace

MultinomialRegressionAddLanguageSpecificTextSet("LST48A44C99_0?cpp=::|nu=.");GetFittedParameters Method

Return Value

Reference

MultinomialRegressionGetFittedParameters Method