Trainer

Type Parameters:

S - The type of the observations.

T - The type of the categories.

All Known Implementing Classes:

GridSearchParameterLearner, MultiClassRbfTrainer, ParameterTrainer
```
public interface Trainer<S extends Observation,T extends Category>
```
Author:

Matthias Thimm

Method Summary

Modifier and Type	Method	Description
`ParameterSet`	`getParameterSet()`	Returns the set of parameters for this trainer.
`boolean`	`setParameterSet(ParameterSet params)`	Sets the parameters for this trainer (calling this method must ensure that the next time `train(TrainingSet<S,T> trainingSet)` is used it uses these parameters.
`Classifier`	`train(TrainingSet<S,T> trainingSet)`	Trains a classifier on the given training set.
`Classifier`	`train(TrainingSet<S,T> trainingSet, ParameterSet params)`	Trains a classifier on the given training set with the given parameters

- Method Detail
  - train
```
Classifier train(TrainingSet<S,T> trainingSet)
```
    Trains a classifier on the given training set.
    
    Parameters:
    
    trainingSet - some training set.
    
    Returns:
    
    a classifier
  - train
```
Classifier train(TrainingSet<S,T> trainingSet,
                 ParameterSet params)
```
    Trains a classifier on the given training set with the given parameters
    
    Parameters:
    
    trainingSet - some training set.
    
    params - parameters for the training.
    
    Returns:
    
    a classifier
  - getParameterSet
```
ParameterSet getParameterSet()
```
    Returns the set of parameters for this trainer.
    
    Returns:
    
    the set of parameters for this trainer.
  - setParameterSet
```
boolean setParameterSet(ParameterSet params)
```
    Sets the parameters for this trainer (calling this method must ensure that the next time train(TrainingSet<S,T> trainingSet) is used it uses these parameters.
    
    Parameters:
    
    params - a parameter set.
    
    Returns:
    
    true if the operation was successful.