LayerConstraint (deeplearning4j-nn 1.0.0-M2.1 API)

All Superinterfaces:

Cloneable, Serializable

All Known Implementing Classes:

BaseConstraint, MaxNormConstraint, MinMaxNormConstraint, NonNegativeConstraint, UnitNormConstraint
```
public interface LayerConstraint
extends Cloneable, Serializable
```

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`void`	`applyConstraint(Layer layer, int iteration, int epoch)`	Apply a given constraint to a layer at each iteration in the provided epoch, after parameters have been updated.
`LayerConstraint`	`clone()`
`Set<String>`	`getParams()`
`void`	`setParams(Set<String> params)`	Set the parameters that this layer constraint should be applied to

- Method Detail
  - applyConstraint
```
void applyConstraint(Layer layer,
                     int iteration,
                     int epoch)
```
    Apply a given constraint to a layer at each iteration in the provided epoch, after parameters have been updated.
    
    Parameters:
    
    layer - org.deeplearning4j.nn.api.Layer
    
    iteration - given iteration as integer
    
    epoch - current epoch as integer
  - setParams
```
void setParams(Set<String> params)
```
    Set the parameters that this layer constraint should be applied to
    
    Parameters:
    
    params - Parameters that the layer constraint should be applied to
  - getParams
```
Set<String> getParams()
```
    Returns:
    
    Set of parameters that this layer constraint will be applied to
  - clone
```
LayerConstraint clone()
```