MultinomialRegression Methods |
The MultinomialRegression type exposes the following members.
Methods| Name | Description | |
|---|---|---|
 | Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) |
| Estimate(Matrix, Matrix) |
Computes predicted probabilities for the multinomial logistic regression model with predictors X.
|
| Estimate(Vector, Vector) |
Computes predicted probabilities for the multinomial logistic regression model with predictor X.
|
| EstimateResidual |
Computes deviance residuals.
|
| EstimateResiduals |
Computes deviance residuals.
|
| GetFittedIntercepts |
(K-1) vector of intercepts estimate.
Each value corresponds to the estimated intercept term.
|
| GetFittedParameters |
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.
|
| GetHashCode | Serves as the default hash function. (Inherited from Object.) |
| GetType | Gets the Type of the current instance. (Inherited from Object.) |
| ToString | Returns a string that represents the current object. (Inherited from Object.) |
See Also