java.lang.Object
- adams.core.logging.LoggingObject
- - adams.core.logging.CustomLoggingLevelObject
  - - adams.core.option.AbstractOptionHandler
    - - adams.ml.cntk.modelgenerator.AbstractModelGenerator
      - adams.ml.cntk.modelgenerator.AbstractBrainScriptModelGenerator
        
        adams.ml.cntk.modelgenerator.RandomBrainScriptGenerator

All Implemented Interfaces:

adams.core.Destroyable, adams.core.GlobalInfoSupporter, adams.core.logging.LoggingLevelHandler, adams.core.logging.LoggingSupporter, adams.core.option.OptionHandler, adams.core.QuickInfoSupporter, adams.core.Randomizable, adams.core.SizeOfHandler, adams.flow.core.FlowContextHandler, ModelGenerator, Serializable
```
public class RandomBrainScriptGenerator
extends AbstractBrainScriptModelGenerator
implements adams.core.Randomizable
```
Generates random networks, just using dense layers and a linear layer as output.

Author:

FracPete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Field Summary

Fields
Modifier and Type	Field	Description
`static String`	`INPUT_DIM`	the placeholder variable for the input dimension.
`protected adams.core.base.BaseText`	`m_DefaultDenseLayer`	the default dense layer.
`protected adams.core.base.BaseText`	`m_DefaultNetwork`	the default network.
`protected adams.core.base.BaseText`	`m_DefaultOutputLayer`	the default output layer.
`protected adams.core.base.BaseDouble[]`	`m_DropOut`	the drop out.
`protected boolean`	`m_InsertBatchNormLayers`	whether to insert batchnorm layers.
`protected adams.core.base.BaseDouble[]`	`m_L1`	L1 values.
`protected adams.core.base.BaseDouble[]`	`m_L2`	L2 values.
`protected adams.core.base.BaseDouble[]`	`m_LearningRate`	learning rate values.
`protected adams.core.base.BaseDouble[]`	`m_LearningRateScheduleDivisors`	the learning rate divisors for the learning rate schedule.
`protected adams.core.base.BaseInteger[]`	`m_LearningRateScheduleEpochs`	the epochs for the learning rate schedule.
`protected adams.core.base.BaseInteger[]`	`m_NumLayers`	the list of possible layers.
`protected int`	`m_NumNetworks`	the number of networks to generate.
`protected adams.core.base.BaseInteger[]`	`m_NumNodes`	the list of possible nodes (per layer).
`protected long`	`m_Seed`	the seed value.
`protected adams.core.base.BaseBoolean[]`	`m_UseRegularization`	using regularization.
`static String`	`OUTPUT_DIM`	the placeholder variable for the output dimension.

Fields inherited from class adams.ml.cntk.modelgenerator.AbstractModelGenerator
m_FlowContext

Fields inherited from class adams.core.option.AbstractOptionHandler
m_OptionManager

Fields inherited from class adams.core.logging.LoggingObject
m_Logger, m_LoggingIsEnabled, m_LoggingLevel

Constructor Summary

Constructors
Constructor Description

RandomBrainScriptGenerator()

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`String`	`defaultDenseLayerTipText()`	Returns the tip text for this property.
`String`	`defaultNetworkTipText()`	Returns the tip text for this property.
`String`	`defaultOutputLayerTipText()`	Returns the tip text for this property.
`void`	`defineOptions()`	Adds options to the internal list of options.
`protected List<String>`	`doGenerate(int numInput, int numOutput)`	Generates the actual models.
`String`	`dropOutTipText()`	Returns the tip text for this property.
`adams.core.base.BaseText`	`getDefaultDenseLayer()`	Returns the default dense layer.
`adams.core.base.BaseText`	`getDefaultNetwork()`	Returns the default network.
`adams.core.base.BaseText`	`getDefaultOutputLayer()`	Returns the default output layer.
`adams.core.base.BaseDouble[]`	`getDropOut()`	Returns the list of drop out values to choose from.
`boolean`	`getInsertBatchNormLayers()`	Returns whether to insert batchnorm layers after each layer.
`adams.core.base.BaseDouble[]`	`getL1()`	Returns the list of L1 values to choose from.
`adams.core.base.BaseDouble[]`	`getL2()`	Returns the list of L2 values to choose from.
`adams.core.base.BaseDouble[]`	`getLearningRate()`	Returns the list of learning rate values to choose from.
`adams.core.base.BaseDouble[]`	`getLearningRateScheduleDivisors()`	Returns the list of divisors to use for the learning rate schedule; not used if empty.
`adams.core.base.BaseInteger[]`	`getLearningRateScheduleEpochs()`	Returns the list of epochs to use for the learning rate schedule; not used if empty.
`adams.core.base.BaseInteger[]`	`getNumLayers()`	Returns the list of number of layers.
`int`	`getNumNetworks()`	Returns the maximum number of networks to generate.
`adams.core.base.BaseInteger[]`	`getNumNodes()`	Returns the list of node counts to choose from.
`long`	`getSeed()`	Returns the seed value.
`adams.core.base.BaseBoolean[]`	`getUseRegularization()`	Returns the list of regularization flags to choose from.
`String`	`globalInfo()`	Returns a string describing the object.
`String`	`insertBatchNormLayersTipText()`	Returns the tip text for this property.
`String`	`L1TipText()`	Returns the tip text for this property.
`String`	`L2TipText()`	Returns the tip text for this property.
`String`	`learningRateScheduleDivisorsTipText()`	Returns the tip text for this property.
`String`	`learningRateScheduleEpochsTipText()`	Returns the tip text for this property.
`String`	`learningRateTipText()`	Returns the tip text for this property.
`String`	`numLayersTipText()`	Returns the tip text for this property.
`String`	`numNetworksTipText()`	Returns the tip text for this property.
`String`	`numNodesTipText()`	Returns the tip text for this property.
`protected Object`	`pick(Random rand, Object array)`	Picks an array element randomly if more than one element, otherwise just returns the single element.
`String`	`seedTipText()`	Returns the tip text for this property.
`void`	`setDefaultDenseLayer(adams.core.base.BaseText value)`	Sets the default dense layer.
`void`	`setDefaultNetwork(adams.core.base.BaseText value)`	Sets the default network.
`void`	`setDefaultOutputLayer(adams.core.base.BaseText value)`	Sets the default output layer.
`void`	`setDropOut(adams.core.base.BaseDouble[] value)`	Sets the list of drop out values to choose from.
`void`	`setInsertBatchNormLayers(boolean value)`	Sets whether to insert batchnorm layers after each layer.
`void`	`setL1(adams.core.base.BaseDouble[] value)`	Sets the list of L1 values to choose from.
`void`	`setL2(adams.core.base.BaseDouble[] value)`	Sets the list of L2 values to choose from.
`void`	`setLearningRate(adams.core.base.BaseDouble[] value)`	Sets the list of learning rate values to choose from.
`void`	`setLearningRateScheduleDivisors(adams.core.base.BaseDouble[] value)`	Sets the divisors to use for the learning rate schedule; not used if empty.
`void`	`setLearningRateScheduleEpochs(adams.core.base.BaseInteger[] value)`	Sets the epochs to use for the learning rate schedule; not used if empty.
`void`	`setNumLayers(adams.core.base.BaseInteger[] value)`	Sets the list of number of layers.
`void`	`setNumNetworks(int value)`	Sets the maximum number of networks to generate.
`void`	`setNumNodes(adams.core.base.BaseInteger[] value)`	Sets the list of node counts to choose from.
`void`	`setSeed(long value)`	Sets the seed value.
`void`	`setUseRegularization(adams.core.base.BaseBoolean[] value)`	Sets the list of regularization flags to choose from.
`String`	`useRegularizationTipText()`	Returns the tip text for this property.

Methods inherited from class adams.ml.cntk.modelgenerator.AbstractBrainScriptModelGenerator
getBrainScriptInfo

Methods inherited from class adams.ml.cntk.modelgenerator.AbstractModelGenerator
check, generate, getFlowContext, getQuickInfo, setFlowContext

Methods inherited from class adams.core.option.AbstractOptionHandler
cleanUpOptions, destroy, finishInit, getDefaultLoggingLevel, getOptionManager, initialize, loggingLevelTipText, newOptionManager, reset, setLoggingLevel, toCommandLine, toString

Methods inherited from class adams.core.logging.LoggingObject
configureLogger, getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled, sizeOf

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface adams.core.logging.LoggingLevelHandler
getLoggingLevel

- Field Detail
  - INPUT_DIM
```
public static final String INPUT_DIM
```
    the placeholder variable for the input dimension.
    
    See Also:
    
    Constant Field Values
  - OUTPUT_DIM
```
public static final String OUTPUT_DIM
```
    the placeholder variable for the output dimension.
    
    See Also:
    
    Constant Field Values
  - m_DefaultNetwork
```
protected adams.core.base.BaseText m_DefaultNetwork
```
    the default network.
  - m_DefaultDenseLayer
```
protected adams.core.base.BaseText m_DefaultDenseLayer
```
    the default dense layer.
  - m_DefaultOutputLayer
```
protected adams.core.base.BaseText m_DefaultOutputLayer
```
    the default output layer.
  - m_Seed
```
protected long m_Seed
```
    the seed value.
  - m_NumNetworks
```
protected int m_NumNetworks
```
    the number of networks to generate.
  - m_NumLayers
```
protected adams.core.base.BaseInteger[] m_NumLayers
```
    the list of possible layers.
  - m_NumNodes
```
protected adams.core.base.BaseInteger[] m_NumNodes
```
    the list of possible nodes (per layer).
  - m_LearningRate
```
protected adams.core.base.BaseDouble[] m_LearningRate
```
    learning rate values.
  - m_UseRegularization
```
protected adams.core.base.BaseBoolean[] m_UseRegularization
```
    using regularization.
  - m_L1
```
protected adams.core.base.BaseDouble[] m_L1
```
    L1 values.
  - m_L2
```
protected adams.core.base.BaseDouble[] m_L2
```
    L2 values.
  - m_DropOut
```
protected adams.core.base.BaseDouble[] m_DropOut
```
    the drop out.
  - m_LearningRateScheduleEpochs
```
protected adams.core.base.BaseInteger[] m_LearningRateScheduleEpochs
```
    the epochs for the learning rate schedule.
  - m_LearningRateScheduleDivisors
```
protected adams.core.base.BaseDouble[] m_LearningRateScheduleDivisors
```
    the learning rate divisors for the learning rate schedule.
  - m_InsertBatchNormLayers
```
protected boolean m_InsertBatchNormLayers
```
    whether to insert batchnorm layers.
- Constructor Detail
  - RandomBrainScriptGenerator
```
public RandomBrainScriptGenerator()
```
- Method Detail
  - globalInfo
```
public String globalInfo()
```
    Returns a string describing the object.
    
    Specified by:
    
    globalInfo in interface adams.core.GlobalInfoSupporter
    
    Specified by:
    
    globalInfo in class adams.core.option.AbstractOptionHandler
    
    Returns:
    
    a description suitable for displaying in the gui
  - defineOptions
```
public void defineOptions()
```
    Adds options to the internal list of options.
    
    Specified by:
    
    defineOptions in interface adams.core.option.OptionHandler
    
    Overrides:
    
    defineOptions in class adams.core.option.AbstractOptionHandler
  - setDefaultNetwork
```
public void setDefaultNetwork(adams.core.base.BaseText value)
```
    Sets the default network.
    
    Parameters:
    
    value - the network
  - getDefaultNetwork
```
public adams.core.base.BaseText getDefaultNetwork()
```
    Returns the default network.
    
    Returns:
    
    the network
  - defaultNetworkTipText
```
public String defaultNetworkTipText()
```
    Returns the tip text for this property.
    
    Returns:
    
    tip text for this property suitable for displaying in the GUI or for listing the options.
  - setDefaultDenseLayer
```
public void setDefaultDenseLayer(adams.core.base.BaseText value)
```
    Sets the default dense layer.
    
    Parameters:
    
    value - the dense layer
  - getDefaultDenseLayer
```
public adams.core.base.BaseText getDefaultDenseLayer()
```
    Returns the default dense layer.
    
    Returns:
    
    the dense layer
  - defaultDenseLayerTipText
```
public String defaultDenseLayerTipText()
```
    Returns the tip text for this property.
    
    Returns:
    
    tip text for this property suitable for displaying in the GUI or for listing the options.
  - setDefaultOutputLayer
```
public void setDefaultOutputLayer(adams.core.base.BaseText value)
```
    Sets the default output layer.
    
    Parameters:
    
    value - the output layer
  - getDefaultOutputLayer
```
public adams.core.base.BaseText getDefaultOutputLayer()
```
    Returns the default output layer.
    
    Returns:
    
    the output layer
  - defaultOutputLayerTipText
```
public String defaultOutputLayerTipText()
```
    Returns the tip text for this property.
    
    Returns:
    
    tip text for this property suitable for displaying in the GUI or for listing the options.
  - setSeed
```
public void setSeed(long value)
```
    Sets the seed value.
    
    Specified by:
    
    setSeed in interface adams.core.Randomizable
    
    Parameters:
    
    value - the seed
  - getSeed
```
public long getSeed()
```
    Returns the seed value.
    
    Specified by:
    
    getSeed in interface adams.core.Randomizable
    
    Returns:
    
    the seed
  - seedTipText
```
public String seedTipText()
```
    Returns the tip text for this property.
    
    Specified by:
    
    seedTipText in interface adams.core.Randomizable
    
    Returns:
    
    tip text for this property suitable for displaying in the GUI or for listing the options.
  - setNumNetworks
```
public void setNumNetworks(int value)
```
    Sets the maximum number of networks to generate.
    
    Parameters:
    
    value - the maximum
  - getNumNetworks
```
public int getNumNetworks()
```
    Returns the maximum number of networks to generate.
    
    Returns:
    
    the maximum
  - numNetworksTipText
```
public String numNetworksTipText()
```
    Returns the tip text for this property.
    
    Returns:
    
    tip text for this property suitable for displaying in the GUI or for listing the options.
  - setNumLayers
```
public void setNumLayers(adams.core.base.BaseInteger[] value)
```
    Sets the list of number of layers.
    
    Parameters:
    
    value - the list
  - getNumLayers
```
public adams.core.base.BaseInteger[] getNumLayers()
```
    Returns the list of number of layers.
    
    Returns:
    
    the list
  - numLayersTipText
```
public String numLayersTipText()
```
    Returns the tip text for this property.
    
    Returns:
    
    tip text for this property suitable for displaying in the GUI or for listing the options.
  - setNumNodes
```
public void setNumNodes(adams.core.base.BaseInteger[] value)
```
    Sets the list of node counts to choose from.
    
    Parameters:
    
    value - the list
  - getNumNodes
```
public adams.core.base.BaseInteger[] getNumNodes()
```
    Returns the list of node counts to choose from.
    
    Returns:
    
    the list
  - numNodesTipText
```
public String numNodesTipText()
```
    Returns the tip text for this property.
    
    Returns:
    
    tip text for this property suitable for displaying in the GUI or for listing the options.
  - setLearningRate
```
public void setLearningRate(adams.core.base.BaseDouble[] value)
```
    Sets the list of learning rate values to choose from.
    
    Parameters:
    
    value - the list
  - getLearningRate
```
public adams.core.base.BaseDouble[] getLearningRate()
```
    Returns the list of learning rate values to choose from.
    
    Returns:
    
    the list
  - learningRateTipText
```
public String learningRateTipText()
```
    Returns the tip text for this property.
    
    Returns:
    
    tip text for this property suitable for displaying in the GUI or for listing the options.
  - setUseRegularization
```
public void setUseRegularization(adams.core.base.BaseBoolean[] value)
```
    Sets the list of regularization flags to choose from.
    
    Parameters:
    
    value - the list
  - getUseRegularization
```
public adams.core.base.BaseBoolean[] getUseRegularization()
```
    Returns the list of regularization flags to choose from.
    
    Returns:
    
    the list
  - useRegularizationTipText
```
public String useRegularizationTipText()
```
    Returns the tip text for this property.
    
    Returns:
    
    tip text for this property suitable for displaying in the GUI or for listing the options.
  - setL1
```
public void setL1(adams.core.base.BaseDouble[] value)
```
    Sets the list of L1 values to choose from.
    
    Parameters:
    
    value - the list
  - getL1
```
public adams.core.base.BaseDouble[] getL1()
```
    Returns the list of L1 values to choose from.
    
    Returns:
    
    the list
  - L1TipText
```
public String L1TipText()
```
    Returns the tip text for this property.
    
    Returns:
    
    tip text for this property suitable for displaying in the GUI or for listing the options.
  - setL2
```
public void setL2(adams.core.base.BaseDouble[] value)
```
    Sets the list of L2 values to choose from.
    
    Parameters:
    
    value - the list
  - getL2
```
public adams.core.base.BaseDouble[] getL2()
```
    Returns the list of L2 values to choose from.
    
    Returns:
    
    the list
  - L2TipText
```
public String L2TipText()
```
    Returns the tip text for this property.
    
    Returns:
    
    tip text for this property suitable for displaying in the GUI or for listing the options.
  - setDropOut
```
public void setDropOut(adams.core.base.BaseDouble[] value)
```
    Sets the list of drop out values to choose from.
    
    Parameters:
    
    value - the list
  - getDropOut
```
public adams.core.base.BaseDouble[] getDropOut()
```
    Returns the list of drop out values to choose from.
    
    Returns:
    
    the list
  - dropOutTipText
```
public String dropOutTipText()
```
    Returns the tip text for this property.
    
    Returns:
    
    tip text for this property suitable for displaying in the GUI or for listing the options.
  - setLearningRateScheduleEpochs
```
public void setLearningRateScheduleEpochs(adams.core.base.BaseInteger[] value)
```
    Sets the epochs to use for the learning rate schedule; not used if empty.
    
    Parameters:
    
    value - the list
  - getLearningRateScheduleEpochs
```
public adams.core.base.BaseInteger[] getLearningRateScheduleEpochs()
```
    Returns the list of epochs to use for the learning rate schedule; not used if empty.
    
    Returns:
    
    the list
  - learningRateScheduleEpochsTipText
```
public String learningRateScheduleEpochsTipText()
```
    Returns the tip text for this property.
    
    Returns:
    
    tip text for this property suitable for displaying in the GUI or for listing the options.
  - setLearningRateScheduleDivisors
```
public void setLearningRateScheduleDivisors(adams.core.base.BaseDouble[] value)
```
    Sets the divisors to use for the learning rate schedule; not used if empty.
    
    Parameters:
    
    value - the list
  - getLearningRateScheduleDivisors
```
public adams.core.base.BaseDouble[] getLearningRateScheduleDivisors()
```
    Returns the list of divisors to use for the learning rate schedule; not used if empty.
    
    Returns:
    
    the list
  - learningRateScheduleDivisorsTipText
```
public String learningRateScheduleDivisorsTipText()
```
    Returns the tip text for this property.
    
    Returns:
    
    tip text for this property suitable for displaying in the GUI or for listing the options.
  - setInsertBatchNormLayers
```
public void setInsertBatchNormLayers(boolean value)
```
    Sets whether to insert batchnorm layers after each layer.
    
    Parameters:
    
    value - true if to insert
  - getInsertBatchNormLayers
```
public boolean getInsertBatchNormLayers()
```
    Returns whether to insert batchnorm layers after each layer.
    
    Returns:
    
    true if to insert
  - insertBatchNormLayersTipText
```
public String insertBatchNormLayersTipText()
```
    Returns the tip text for this property.
    
    Returns:
    
    tip text for this property suitable for displaying in the GUI or for listing the options.
  - pick
```
protected Object pick(Random rand,
                      Object array)
```
    Picks an array element randomly if more than one element, otherwise just returns the single element.
    
    Parameters:
    
    rand - the random number generator to use for picking the element
    
    array - the array to pick the element from
    
    Returns:
    
    the chosen element
  - doGenerate
```
protected List<String> doGenerate(int numInput,
                                  int numOutput)
```
    Generates the actual models.
    
    Specified by:
    
    doGenerate in class AbstractModelGenerator
    
    Parameters:
    
    numInput - the number of input nodes
    
    numOutput - the number of output nodes
    
    Returns:
    
    the models

Class RandomBrainScriptGenerator

Field Summary

Fields inherited from class adams.ml.cntk.modelgenerator.AbstractModelGenerator

Fields inherited from class adams.core.option.AbstractOptionHandler

Fields inherited from class adams.core.logging.LoggingObject

Constructor Summary

Method Summary

Methods inherited from class adams.ml.cntk.modelgenerator.AbstractBrainScriptModelGenerator

Methods inherited from class adams.ml.cntk.modelgenerator.AbstractModelGenerator

Methods inherited from class adams.core.option.AbstractOptionHandler

Methods inherited from class adams.core.logging.LoggingObject

Methods inherited from class java.lang.Object

Methods inherited from interface adams.core.logging.LoggingLevelHandler

Field Detail

INPUT_DIM

OUTPUT_DIM

m_DefaultNetwork

m_DefaultDenseLayer

m_DefaultOutputLayer

m_Seed

m_NumNetworks

m_NumLayers

m_NumNodes

m_LearningRate

m_UseRegularization

m_L1

m_L2

m_DropOut

m_LearningRateScheduleEpochs

m_LearningRateScheduleDivisors

m_InsertBatchNormLayers

Constructor Detail

RandomBrainScriptGenerator

Method Detail

globalInfo

defineOptions

setDefaultNetwork

getDefaultNetwork

defaultNetworkTipText

setDefaultDenseLayer

getDefaultDenseLayer

defaultDenseLayerTipText

setDefaultOutputLayer

getDefaultOutputLayer

defaultOutputLayerTipText

setSeed

getSeed

seedTipText

setNumNetworks

getNumNetworks

numNetworksTipText

setNumLayers

getNumLayers

numLayersTipText

setNumNodes

getNumNodes

numNodesTipText

setLearningRate

getLearningRate

learningRateTipText

setUseRegularization

getUseRegularization

useRegularizationTipText

setL1

getL1

L1TipText

setL2

getL2

L2TipText

setDropOut

getDropOut

dropOutTipText

setLearningRateScheduleEpochs

getLearningRateScheduleEpochs

learningRateScheduleEpochsTipText

setLearningRateScheduleDivisors

getLearningRateScheduleDivisors

learningRateScheduleDivisorsTipText

setInsertBatchNormLayers

getInsertBatchNormLayers