Parameters of the multi-class classifier algorithm.
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◆ getEps()
Retrieves convergence threshold of the multi-class classifier training algorithm
- Returns
- Convergence threshold of the multi-class classifier training algorithm
◆ getNIter()
Retrieves maximum number of iterations of the multi-class classifier training algorithm
- Returns
- Maximum number of iterations of the multi-class classifier training algorithm
◆ setEps()
void setEps |
( |
double |
eps | ) |
|
Sets convergence threshold of the multi-class classifier training algorithm
- Parameters
-
eps | Convergence threshold of the multi-class classifier training algorithm |
◆ setNIter()
void setNIter |
( |
long |
nIter | ) |
|
Sets maximum number of iterations of the multi-class classifier training algorithm
- Parameters
-
nIter | Maximum number of iterations of the multi-class classifier training algorithm |
◆ setPrediction()
Sets algorithm for prediction based on two class classifier model
- Parameters
-
prediction | Algorithm for prediction based on two class classifier model |
◆ setTraining()
Sets algorithm for two class classifier model training
- Parameters
-
training | Algorithm for two class classifier model training |
The documentation for this class was generated from the following file:
- multi_class_classifier/Parameter.java