WeightMapper (thomasjungblut-common 2.0.0 API)

All Known Implementing Classes:

MLPWeightMapper
```
public interface WeightMapper<A extends Classifier>
```
This interface helps to map minimizable weights of a CostFunction to a Classifier implementation.

Author:

thomas.jungblut

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`A`	`mapWeights(de.jungblut.math.DoubleVector weights)`	Maps the given weights to a classifier implementation.

- Method Detail
  - mapWeights
```
A mapWeights(de.jungblut.math.DoubleVector weights)
```
    Maps the given weights to a classifier implementation.
    
    Parameters:
    
    weights - the parameters of a trained model.
    
    Returns:
    
    a classifier instance with the weights set.