RnnOutputLayerSpace (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<L>
  - - org.deeplearning4j.arbiter.layers.BaseLayerSpace<L>
    - - org.deeplearning4j.arbiter.layers.FeedForwardLayerSpace<L>
      - org.deeplearning4j.arbiter.layers.BaseOutputLayerSpace<RnnOutputLayer>
        
        org.deeplearning4j.arbiter.layers.RnnOutputLayerSpace

All Implemented Interfaces:

ParameterSpace<RnnOutputLayer>
```
public class RnnOutputLayerSpace
extends BaseOutputLayerSpace<RnnOutputLayer>
```
Layer hyperparametor configuration space for RnnOutputLayer

Nested Class Summary

Nested Classes
Modifier and Type Class and Description

static class RnnOutputLayerSpace.Builder

Field Summary
- Fields inherited from class org.deeplearning4j.arbiter.layers.BaseOutputLayerSpace
  hasBias, lossFunction
- Fields inherited from class org.deeplearning4j.arbiter.layers.FeedForwardLayerSpace
  constrainAll, constrainBias, constrainWeights, nIn, nOut
- Fields inherited from class org.deeplearning4j.arbiter.layers.BaseLayerSpace
  activationFunction, biasInit, biasUpdater, dist, gradientNormalization, gradientNormalizationThreshold, l1, l1Bias, l2, l2Bias, numParameters, updater, weightInit, weightNoise
- Fields inherited from class org.deeplearning4j.arbiter.layers.LayerSpace
  dropOut

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`RnnOutputLayer`	`getValue(double[] values)` Generate a candidate given a set of values.
`protected void`	`setLayerOptionsBuilder(RnnOutputLayer.Builder builder, double[] values)`
`String`	`toString()`
`String`	`toString(String delim)`

Methods inherited from class org.deeplearning4j.arbiter.layers.BaseOutputLayerSpace
setLayerOptionsBuilder

Methods inherited from class org.deeplearning4j.arbiter.layers.FeedForwardLayerSpace
setLayerOptionsBuilder

Methods inherited from class org.deeplearning4j.arbiter.layers.BaseLayerSpace
isLeaf, numParameters, setIndices, setLayerOptionsBuilder

Methods inherited from class org.deeplearning4j.arbiter.layers.LayerSpace
collectLeaves, setLayerOptionsBuilder

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

- Method Detail
  - getValue
```
public RnnOutputLayer getValue(double[] values)
```
    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:
    
    values - A set of values, each in the range [0,1], of length ParameterSpace.numParameters()
  - setLayerOptionsBuilder
```
protected void setLayerOptionsBuilder(RnnOutputLayer.Builder builder,
                                      double[] values)
```
  - toString
```
public String toString()
```
    Overrides:
    
    toString in class FeedForwardLayerSpace<RnnOutputLayer>
  - toString
```
public String toString(String delim)
```
    Overrides:
    
    toString in class FeedForwardLayerSpace<RnnOutputLayer>

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