Enumerates the categories or roles of variables
in a statistical or machine learning model.
Namespace:
Extreme.DataAnalysis.Models
Assembly:
Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.1
public enum ModelInputCategory
Public Enumeration ModelInputCategory
public enum class ModelInputCategory
|
| Member name | Value | Description |
|---|
| Features | 0 |
The category of features, independent variables.
|
| Independent | 0 |
Same as Features.
|
| Target | 1 |
The category of targets, dependent variables.
|
| Dependent | 1 |
Same as Target.
|
| Weight | 2 |
The category of weights.
|
| Group | 3 |
The grouping variables.
|
| Custom | 99 |
A custom category.
|
| Offset | 4 |
For some forms of generalized linear models,
the variable that contains an offset which has a fixed coefficient of 1.
|
| Count | 5 |
For binomial regression, the variable that contains the total number of trials.
|
Reference