LossLayerSpace (deeplearning4j 1.0.0-beta7 API)

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java.lang.Object
- org.deeplearning4j.arbiter.optimize.api.AbstractParameterSpace<L>
- - org.deeplearning4j.arbiter.layers.LayerSpace<LossLayer>
  - - org.deeplearning4j.arbiter.layers.LossLayerSpace

All Implemented Interfaces:: ParameterSpace<LossLayer>

public class LossLayerSpace
extends LayerSpace<LossLayer>

- Nested Class Summary
  
  Nested Classes
  Modifier and Type Class and Description
  
  static class LossLayerSpace.Builder
- Field Summary
  
  Fields
  Modifier and Type Field and Description
  
  protected ParameterSpace<ILossFunction> lossFunction
  - Fields inherited from class org.deeplearning4j.arbiter.layers.LayerSpace
    dropOut, numParameters
- Constructor Summary
  
  Constructors
  Constructor and Description
  
  LossLayerSpace(LossLayerSpace.Builder builder)
- Method Summary
  
  All Methods Instance Methods Concrete Methods
  Modifier and Type Method and Description
  
  LossLayer getValue(double[] parameterValues)
  Generate a candidate given a set of values.
  - Methods inherited from class org.deeplearning4j.arbiter.layers.LayerSpace
    collectLeaves, isLeaf, numParameters, setIndices, setLayerOptionsBuilder, toString, toString
  - Methods inherited from class org.deeplearning4j.arbiter.optimize.api.AbstractParameterSpace
    getNestedSpaces
  - Methods inherited from class java.lang.Object
    clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

- Field Detail
  - lossFunction
```
protected ParameterSpace<ILossFunction> lossFunction
```
- Constructor Detail
  - LossLayerSpace
```
public LossLayerSpace(LossLayerSpace.Builder builder)
```
- Method Detail
  - getValue
```
public LossLayer getValue(double[] parameterValues)
```
    Description copied from interface: ParameterSpace
    
    Generate a candidate given a set of values. These values are then mapped to a specific candidate, using some mapping function (such as the prior probability distribution)
    
    Parameters:
    
    parameterValues - A set of values, each in the range [0,1], of length ParameterSpace.numParameters()

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