| Class | Description |
|---|---|
| Discriminant_Analysis |
The Linear Discriminant analysis is a regression-type technique introduced by Fisher, R.
|
| LeastSquare_Regression |
This class will perform Linear Least square regression with focus on providing
all the common regression statistics like T-stats, Anova
and so on.
|
| Logistic_Regression |
The (binary) logistic regression is a model commonly used to predict the chances
of a dependent variable resulting into Good=1 or Bad=0.
|
| Multinomial_Logistic_Regression |
This class will create a multinomial Logistic regression algorithm where
there is a set of predictors as a double [][] array and a String categorical type
variable as array [] with K distinct categories ,where k>=3 (for 2 distinct categories a simple
binary logistic model may be preferred).
|