OCNNLayerSpace (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<OCNNOutputLayer>
        
        org.deeplearning4j.arbiter.layers.OCNNLayerSpace

All Implemented Interfaces:: ParameterSpace<OCNNOutputLayer>

public class OCNNLayerSpace
extends BaseOutputLayerSpace<OCNNOutputLayer>

Nested Class Summary

Nested Classes
Modifier and Type Class and Description

static class OCNNLayerSpace.Builder

Field Summary

Fields
Modifier and Type	Field and Description
`protected ParameterSpace<Boolean>`	`configureR`
`protected ParameterSpace<Integer>`	`hiddenLayerSize`
`protected ParameterSpace<Double>`	`initialRValue`
`protected ParameterSpace<Double>`	`nuSpace`
`protected ParameterSpace<Integer>`	`windowSize`

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
`OCNNOutputLayer`	`getValue(double[] parameterValues)` Generate a candidate given a set of values.
`protected void`	`setLayerOptionsBuilder(OCNNOutputLayer.Builder builder, double[] values)`

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

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

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

- Field Detail
  - nuSpace
```
protected ParameterSpace<Double> nuSpace
```
  - initialRValue
```
protected ParameterSpace<Double> initialRValue
```
  - hiddenLayerSize
```
protected ParameterSpace<Integer> hiddenLayerSize
```
  - windowSize
```
protected ParameterSpace<Integer> windowSize
```
  - configureR
```
protected ParameterSpace<Boolean> configureR
```
- Method Detail
  - getValue
```
public OCNNOutputLayer 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()
  - setLayerOptionsBuilder
```
protected void setLayerOptionsBuilder(OCNNOutputLayer.Builder builder,
                                      double[] values)
```

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