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              GeneralizedLinearRegression Properties | 
          
The GeneralizedLinearRegression type exposes the following members.
| Name | Description | |
|---|---|---|
| Coefficients |  Obsolete.  
              Obsolete. For quick compatibility fixes in the short term, use
              GetCoefficient(Int32) and SetCoefficient(Int32, Double).
              | |
| Inputs |  Obsolete.  
              Gets the number of inputs handled by this model.
              | |
| Intercept | 
              Gets or sets the intercept term. This is always the 
              first value of the Coefficients array.
              | |
| Linear | 
              Gets the underlying linear regression.
              | |
| Link | 
              Gets the link function used by
              this generalized linear model.
              | |
| 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.
              (Overrides TransformBaseTInput, TOutputNumberOfInputs.) | |
| 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).
              | |
| StandardErrors | 
              Gets the standard errors associated with each
              coefficient during the model estimation phase.
              | |
| 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.
              |