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MultinomialLogisticRegression Properties |
The MultinomialLogisticRegression type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | Categories | Obsolete.
Gets the number of categories of the model.
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| Coefficients |
Gets the coefficient vectors, in which the
first column are the intercept values.
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| Inputs | Obsolete.
Gets the number of inputs of the model.
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| NumberOfClasses |
Gets the number of classes expected and recognized by the classifier.
(Inherited from ClassifierBaseTInput, TClasses.) |
| NumberOfInputs |
Gets the number of inputs accepted by the model.
(Inherited from TransformBaseTInput, TOutput.) |
| NumberOfOutputs |
Gets the number of outputs generated by the model.
(Inherited from TransformBaseTInput, TOutput.) |
| NumberOfParameters |
Gets the total number of parameters in the multinomial
logistic regression [(categories - 1) * (inputs + 1)].
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| StandardErrors |
Gets the standard errors associated with each
coefficient during the model estimation phase.
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See Also