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LogisticRegression Properties |
The LogisticRegression type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | Coefficients | Obsolete.
Obsolete. For quick compatibility fixes in the short term, use
GetCoefficient(Int32) and SetCoefficient(Int32, Double).
(Inherited from GeneralizedLinearRegression.) |
| Inputs | Obsolete.
Gets the number of inputs handled by this model.
(Inherited from GeneralizedLinearRegression.) |
| Intercept |
Gets or sets the intercept term. This is always the
first value of the Coefficients array.
(Inherited from GeneralizedLinearRegression.) |
| Linear |
Gets the underlying linear regression.
(Inherited from GeneralizedLinearRegression.) |
| Link |
Gets the link function used by
this generalized linear model.
(Inherited from GeneralizedLinearRegression.) |
| 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 GeneralizedLinearRegression.) |
| NumberOfOutputs |
Gets the number of outputs generated by the model.
(Inherited from TransformBaseTInput, TOutput.) |
| NumberOfParameters |
Gets the number of parameters in this model (equals the NumberOfInputs + 1).
(Inherited from GeneralizedLinearRegression.) |
| StandardErrors |
Gets the standard errors associated with each
coefficient during the model estimation phase.
(Inherited from GeneralizedLinearRegression.) |
| Weights |
Gets or sets the linear weights of the regression model. The
intercept term is not stored in this vector, but is instead
available through the Intercept property.
(Inherited from GeneralizedLinearRegression.) |
See Also