(Depreciated - use MyCaffeTrainerDual instead.) The MyCaffeTrainerRNN is used to perform recurrent neural-network training tasks on an instance of the MyCaffeControl. More...

Inheritance diagram for MyCaffe.trainers.MyCaffeTrainerRNN:

Public Member Functions
	MyCaffeTrainerRNN ()
	The constructor. More...

	MyCaffeTrainerRNN (IContainer container)
	The constructor. More...

bool	GetUpdateSnapshot (out int nIteration, out double dfAccuracy)
	Returns true when the training is ready for a snap-shot, false otherwise. More...

DatasetDescriptor	GetDatasetOverride (int nProjectID, ConnectInfo ci=null)
	Returns a dataset override to use (if any) instead of the project's dataset. If there is no dataset override null is returned and the project's dataset is used. More...

void	CleanUp ()
	Releases any resources used by the component. More...

void	Initialize (string strProperties, IXMyCaffeCustomTrainerCallback icallback)
	Initializes a new custom trainer by loading the key-value pair of properties into the property set. More...

float[]	Run (Component mycaffe, int nN)
	Create a new trainer and use it to run a single run cycle. More...

byte[]	Run (Component mycaffe, int nN, out string type)
	Run the network using the run technique implemented by this trainer. More...

void	Test (Component mycaffe, int nIterationOverride, ITERATOR_TYPE type=ITERATOR_TYPE.ITERATION)
	Create a new trainer and use it to run a test cycle. More...

void	Train (Component mycaffe, int nIterationOverride, ITERATOR_TYPE type=ITERATOR_TYPE.ITERATION, TRAIN_STEP step=TRAIN_STEP.NONE)
	Create a new trainer and use it to run a training cycle. More...

void	OnInitialize (InitializeArgs e)
	The OnIntialize callback fires when initializing the trainer. More...

void	OnShutdown ()
	The OnShutdown callback fires when shutting down the trainer. More...

void	OnGetData (GetDataArgs e)
	The OnGetData callback fires from within the Train method and is used to get a new observation data. More...

void	OnConvertOutput (ConvertOutputArgs e)
	The OnConvertOutput callback fires from within the Run method and is used to convert the network output into its native format. More...

void	OnTestAccuracyUpdate (TestAccuracyUpdateArgs e)
	The OnTestAccuracyUpdate callback fires from within the Run method and is used to give the recipient the chance to determine whether the label detected is correct or not. More...

void	OnUpdateStatus (GetStatusArgs e)
	The OnGetStatus callback fires on each iteration within the Train method. More...

void	OnWait (WaitArgs e)
	The OnWait callback fires when waiting for a shutdown. More...

double	GetProperty (string strProp)
	Returns a specific property value. More...

void	OpenUi ()
	Open the user interface for the trainer, of one exists. More...

BucketCollection	PreloadData (Log log, CancelEvent evtCancel, int nProjectID, PropertySet propertyOverride=null, ConnectInfo ci=null)
	The PreloadData method gives the custom trainer an opportunity to pre-load any data. More...

string	ResizeModel (Log log, string strModel, BucketCollection rgVocabulary)
	The ResizeModel method gives the custom trainer the opportunity to resize the model if needed. More...

Protected Member Functions
virtual DatasetDescriptor	get_dataset_override (int nProjectID, ConnectInfo ci=null)
	Returns a dataset override to use (if any) instead of the project's dataset. If there is no dataset override null is returned and the project's dataset is used. More...

virtual string	get_information ()
	Returns information describing the specific trainer, such as the gym used, if any. More...

virtual IxTrainerRNN	create_trainerD (Component caffe)
	Optionally overridden to return a new type of trainer. More...

virtual IxTrainerRNN	create_trainerF (Component caffe)
	Optionally overridden to return a new type of trainer. More...

virtual void	dispose ()
	Override to dispose of resources used. More...

virtual void	initialize (InitializeArgs e)
	Override called by the Initialize method of the trainer. More...

virtual void	shutdown ()
	Override called from within the CleanUp method. More...

virtual bool	getData (GetDataArgs e)
	Override called by the OnGetData event fired by the Trainer to retrieve a new set of observation collections making up a set of experiences. More...

virtual bool	convertOutput (ConvertOutputArgs e)
	Override called by the OnConvertOutput event fired by the Trainer to convert the network output into its native format. More...

virtual void	testAccuracyUpdate (TestAccuracyUpdateArgs e)
	Override called by the OnTestAccuracyUpdate event fired from within the Run method and is used to give the recipient the chance to determine whether the label detected is correct or not. More...

virtual bool	get_update_snapshot (out int nIteration, out double dfAccuracy)
	Returns true when the training is ready for a snap-shot, false otherwise. More...

virtual void	openUi ()
	Called by OpenUi, override this when a UI (via WCF) should be displayed. More...

virtual BucketCollection	preloaddata (Log log, CancelEvent evtCancel, int nProjectID, PropertySet propertyOverride=null, ConnectInfo ci=null)
	The preloaddata method gives the custom trainer an opportunity to pre-load any data. More...

override void	Dispose (bool disposing)
	Clean up any resources being used. More...

Protected Attributes
PropertySet	m_properties = null
	Specifies the properties parsed from the key-value pair passed to the Initialize method. More...

int	m_nProjectID = 0
	Specifies the project ID of the project held by the instance of MyCaffe. More...

ConnectInfo	m_dsCi = null
	Optionally, specifies the dataset connection info, or null. More...

Properties
virtual string	name `[get]`
	Overriden to give the actual name of the custom trainer. More...

virtual TRAINING_CATEGORY	category `[get]`
	Override when using a training method other than the RECURRENT method (the default). More...

Stage	Stage `[get]`
	Returns the Stage.RNN type. More...

string	Name `[get]`
	Returns the name of the custom trainer. This method calls the 'name' override. More...

TRAINING_CATEGORY	TrainingCategory `[get]`
	Returns the training category of the custom trainer (default = REINFORCEMENT). More...

bool	IsTrainingSupported `[get]`
	Returns whether or not Training is supported. More...

bool	IsTestingSupported `[get]`
	Returns whether or not Testing is supported. More...

bool	IsRunningSupported `[get]`
	Returns whether or not Running is supported. More...

string	Information `[get]`
	Returns information describing the trainer. More...

Properties inherited from MyCaffe.trainers.IXMyCaffeCustomTrainer
Stage	Stage `[get]`
	Returns the stage that the trainer is running under based on the trainer type. More...

string	Name `[get]`
	Returns the name of the custom trainer. More...

TRAINING_CATEGORY	TrainingCategory `[get]`
	Returns the training category supported by the implementer of the interface. More...

bool	IsTrainingSupported `[get]`
	Returns true when the 'Train' method is supported - this should almost always be true. More...

bool	IsTestingSupported `[get]`
	Returns true when the 'Test' method is supported. More...

bool	IsRunningSupported `[get]`
	Returns true when the 'Run' method is supported. More...

string	Information `[get]`
	Returns general information about the custom trainer. More...

Detailed Description

(Depreciated - use MyCaffeTrainerDual instead.) The MyCaffeTrainerRNN is used to perform recurrent neural-network training tasks on an instance of the MyCaffeControl.

Currently, the MyCaffeTrainerRNN supports the following trainers, each of which are selected with the 'TrainerType=type' property value within the property set specified when calling the Initialize method.

TrainerType=RNN.SIMPLE - creates the initial simple policy gradient trainer that only supports single-threaded Sigmoid based models.

The following settings are used from the Model and Solver descriptions:

Solver: base_lr - specifies the learning rate used. Model: batch_size - specifies how often accumulated gradients are applied.

Definition at line 32 of file MyCaffeTrainerRNN.cs.

Constructor & Destructor Documentation

◆ MyCaffeTrainerRNN() [1/2]

MyCaffe.trainers.MyCaffeTrainerRNN.MyCaffeTrainerRNN ( )

The constructor.

Definition at line 68 of file MyCaffeTrainerRNN.cs.

◆ MyCaffeTrainerRNN() [2/2]

MyCaffe.trainers.MyCaffeTrainerRNN.MyCaffeTrainerRNN ( IContainer container )

The constructor.

Parameters

container The container of the component.

Definition at line 77 of file MyCaffeTrainerRNN.cs.

Member Function Documentation

◆ CleanUp()

void MyCaffe.trainers.MyCaffeTrainerRNN.CleanUp ( )

Releases any resources used by the component.

Implements MyCaffe.trainers.IXMyCaffeCustomTrainer.

Definition at line 351 of file MyCaffeTrainerRNN.cs.

◆ convertOutput()

virtual bool MyCaffe.trainers.MyCaffeTrainerRNN.convertOutput ( ConvertOutputArgs e )

protectedvirtual

Override called by the OnConvertOutput event fired by the Trainer to convert the network output into its native format.

Parameters

e	Specifies the event arguments.

Returns: When handled this function retunrs true, otherwise it returns false.

Definition at line 222 of file MyCaffeTrainerRNN.cs.

◆ create_trainerD()

virtual IxTrainerRNN MyCaffe.trainers.MyCaffeTrainerRNN.create_trainerD ( Component caffe )

protectedvirtual

Optionally overridden to return a new type of trainer.

Override this method when using the MyCaffeControl that uses the double base type.

Parameters

caffe Specifies the MyCaffeControl used.

Returns: The IxTraininer interface implemented by the new trainer is returned.

Definition at line 130 of file MyCaffeTrainerRNN.cs.

◆ create_trainerF()

virtual IxTrainerRNN MyCaffe.trainers.MyCaffeTrainerRNN.create_trainerF ( Component caffe )

protectedvirtual

Optionally overridden to return a new type of trainer.

Override this method when using the MyCaffeControl that uses the double base type.

Parameters

caffe Specifies the MyCaffeControl used.

Returns: The IxTraininer interface implemented by the new trainer is returned.

Definition at line 160 of file MyCaffeTrainerRNN.cs.

◆ dispose()

virtual void MyCaffe.trainers.MyCaffeTrainerRNN.dispose ( )

protectedvirtual

Override to dispose of resources used.

Definition at line 185 of file MyCaffeTrainerRNN.cs.

◆ Dispose()

override void MyCaffe.trainers.MyCaffeTrainerRNN.Dispose ( bool disposing )

protected

Clean up any resources being used.

Parameters

disposing true if managed resources should be disposed; otherwise, false.

Definition at line 14 of file MyCaffeTrainerRNN.Designer.cs.

◆ get_dataset_override()

virtual DatasetDescriptor MyCaffe.trainers.MyCaffeTrainerRNN.get_dataset_override	(	int	nProjectID,
		ConnectInfo	ci = `null`
	)

protectedvirtual

Returns a dataset override to use (if any) instead of the project's dataset. If there is no dataset override null is returned and the project's dataset is used.

Parameters

nProjectID	Specifies the project ID associated with the trainer (if any)
ci	Optionally, specifies the database connection information (default = null).

Definition at line 108 of file MyCaffeTrainerRNN.cs.

◆ get_information()

virtual string MyCaffe.trainers.MyCaffeTrainerRNN.get_information ( )

protectedvirtual

Returns information describing the specific trainer, such as the gym used, if any.

Returns: The string describing the trainer is returned.

Definition at line 117 of file MyCaffeTrainerRNN.cs.

◆ get_update_snapshot()

virtual bool MyCaffe.trainers.MyCaffeTrainerRNN.get_update_snapshot	(	out int	nIteration,
		out double	dfAccuracy
	)

protectedvirtual

Returns true when the training is ready for a snap-shot, false otherwise.

Parameters

nIteration	Specifies the current iteration.
dfAccuracy	Returns the current accuracy.

Definition at line 240 of file MyCaffeTrainerRNN.cs.

◆ getData()

virtual bool MyCaffe.trainers.MyCaffeTrainerRNN.getData ( GetDataArgs e )

protectedvirtual

Override called by the OnGetData event fired by the Trainer to retrieve a new set of observation collections making up a set of experiences.

Parameters

e	Specifies the getData argments used to return the new observations.

Returns: A value of true is returned when data is retrieved.

Definition at line 212 of file MyCaffeTrainerRNN.cs.

◆ GetDatasetOverride()

DatasetDescriptor MyCaffe.trainers.MyCaffeTrainerRNN.GetDatasetOverride	(	int	nProjectID,
		ConnectInfo	ci = `null`
	)

Returns a dataset override to use (if any) instead of the project's dataset. If there is no dataset override null is returned and the project's dataset is used.

Parameters

nProjectID	Specifies the project ID associated with the trainer (if any)
ci	Optionally, specifies the database connection information (default = null).

Implements MyCaffe.trainers.IXMyCaffeCustomTrainer.

Definition at line 319 of file MyCaffeTrainerRNN.cs.

◆ GetProperty()

double MyCaffe.trainers.MyCaffeTrainerRNN.GetProperty ( string strProp )

Returns a specific property value.

Parameters

strProp Specifies the property to get.

Returns: The property value is returned.

The following properties are supported by the RNN trainers: 'GlobalIteration'

Implements MyCaffe.trainers.IXMyCaffeCustomTrainer.

Definition at line 573 of file MyCaffeTrainerRNN.cs.

◆ GetUpdateSnapshot()

bool MyCaffe.trainers.MyCaffeTrainerRNN.GetUpdateSnapshot	(	out int	nIteration,
		out double	dfAccuracy
	)

Returns true when the training is ready for a snap-shot, false otherwise.

Parameters

nIteration	Specifies the current iteration.
dfAccuracy	Specifies the current accuracy.

Implements MyCaffe.trainers.IXMyCaffeCustomTrainer.

Definition at line 308 of file MyCaffeTrainerRNN.cs.

◆ initialize()

virtual void MyCaffe.trainers.MyCaffeTrainerRNN.initialize ( InitializeArgs e )

protectedvirtual

Override called by the Initialize method of the trainer.

When providing a new trainer, this method is not used.

Parameters

e	Specifies the initialization arguments.

Definition at line 196 of file MyCaffeTrainerRNN.cs.

◆ Initialize()

void MyCaffe.trainers.MyCaffeTrainerRNN.Initialize	(	string	strProperties,
		IXMyCaffeCustomTrainerCallback	icallback
	)

Initializes a new custom trainer by loading the key-value pair of properties into the property set.

Parameters

strProperties	Specifies the key-value pair of properties each separated by ';'. For example the expected format is 'key1'='value1';'key2'='value2';...
icallback	Specifies the parent callback.

Implements MyCaffe.trainers.IXMyCaffeCustomTrainer.

Definition at line 377 of file MyCaffeTrainerRNN.cs.

◆ OnConvertOutput()

void MyCaffe.trainers.MyCaffeTrainerRNN.OnConvertOutput ( ConvertOutputArgs e )

The OnConvertOutput callback fires from within the Run method and is used to convert the network output into its native format.

Parameters

e	Specifies the event arguments.

Implements MyCaffe.trainers.IxTrainerCallbackRNN.

Definition at line 521 of file MyCaffeTrainerRNN.cs.

◆ OnGetData()

void MyCaffe.trainers.MyCaffeTrainerRNN.OnGetData ( GetDataArgs e )

The OnGetData callback fires from within the Train method and is used to get a new observation data.

Implements MyCaffe.trainers.IxTrainerCallback.

Definition at line 512 of file MyCaffeTrainerRNN.cs.

◆ OnInitialize()

void MyCaffe.trainers.MyCaffeTrainerRNN.OnInitialize ( InitializeArgs e )

The OnIntialize callback fires when initializing the trainer.

Implements MyCaffe.trainers.IxTrainerCallback.

Definition at line 496 of file MyCaffeTrainerRNN.cs.

◆ OnShutdown()

void MyCaffe.trainers.MyCaffeTrainerRNN.OnShutdown ( )

The OnShutdown callback fires when shutting down the trainer.

Implements MyCaffe.trainers.IxTrainerCallback.

Definition at line 504 of file MyCaffeTrainerRNN.cs.

◆ OnTestAccuracyUpdate()

void MyCaffe.trainers.MyCaffeTrainerRNN.OnTestAccuracyUpdate ( TestAccuracyUpdateArgs e )

The OnTestAccuracyUpdate callback fires from within the Run method and is used to give the recipient the chance to determine whether the label detected is correct or not.

Parameters

e	Specifies the argument sent with the callback.

Implements MyCaffe.trainers.IxTrainerCallbackRNN.

Definition at line 530 of file MyCaffeTrainerRNN.cs.

◆ OnUpdateStatus()

void MyCaffe.trainers.MyCaffeTrainerRNN.OnUpdateStatus ( GetStatusArgs e )

The OnGetStatus callback fires on each iteration within the Train method.

Implements MyCaffe.trainers.IxTrainerCallback.

Definition at line 538 of file MyCaffeTrainerRNN.cs.

◆ OnWait()

void MyCaffe.trainers.MyCaffeTrainerRNN.OnWait ( WaitArgs e )

The OnWait callback fires when waiting for a shutdown.

Implements MyCaffe.trainers.IxTrainerCallback.

Definition at line 559 of file MyCaffeTrainerRNN.cs.

◆ openUi()

virtual void MyCaffe.trainers.MyCaffeTrainerRNN.openUi ( )

protectedvirtual

Called by OpenUi, override this when a UI (via WCF) should be displayed.

Definition at line 257 of file MyCaffeTrainerRNN.cs.

◆ OpenUi()

void MyCaffe.trainers.MyCaffeTrainerRNN.OpenUi ( )

Open the user interface for the trainer, of one exists.

Implements MyCaffe.trainers.IXMyCaffeCustomTrainer.

Definition at line 605 of file MyCaffeTrainerRNN.cs.

◆ preloaddata()

virtual BucketCollection MyCaffe.trainers.MyCaffeTrainerRNN.preloaddata	(	Log	log,
		CancelEvent	evtCancel,
		int	nProjectID,
		PropertySet	propertyOverride = `null`,
		ConnectInfo	ci = `null`
	)

protectedvirtual

The preloaddata method gives the custom trainer an opportunity to pre-load any data.

Parameters

log	Specifies the output log to use.
evtCancel	Specifies the cancel event.
nProjectID	Specifies the project ID if any.
propertyOverride	Optionally, specifies the properites to override those already specified during initialization (default = null).
ci	Optionally, specifies the database connection information (default = null).

Returns: When data is pre-loaded the discovered vocabulary is returned as a bucket collection.

Definition at line 270 of file MyCaffeTrainerRNN.cs.

◆ PreloadData()

BucketCollection MyCaffe.trainers.MyCaffeTrainerRNN.PreloadData	(	Log	log,
		CancelEvent	evtCancel,
		int	nProjectID,
		PropertySet	propertyOverride = `null`,
		ConnectInfo	ci = `null`
	)

The PreloadData method gives the custom trainer an opportunity to pre-load any data.

Parameters

log	Specifies the output log to use.
evtCancel	Specifies the cancel event.
nProjectID	Specifies the project ID used, if any.
propertyOverride	Optionally, specifies the properites to override those already specified during initialization (default = null).
ci	Optionally, specifies the database connection information (default = null).

Returns: When data is pre-loaded the discovered vocabulary is returned as a BucketCollection.

Implements MyCaffe.trainers.IXMyCaffeCustomTrainerRNN.

Definition at line 619 of file MyCaffeTrainerRNN.cs.

◆ ResizeModel()

string MyCaffe.trainers.MyCaffeTrainerRNN.ResizeModel	(	Log	log,
		string	strModel,
		BucketCollection	rgVocabulary
	)

The ResizeModel method gives the custom trainer the opportunity to resize the model if needed.

Parameters

strModel	Specifies the model descriptor.
rgVocabulary	Specifies the vocabulary.
log	Specifies the output log.

Returns: A new model discriptor is returned (or the same 'strModel' if no changes were made).

Note, this method is called after PreloadData.

Implements MyCaffe.trainers.IXMyCaffeCustomTrainerRNN.

Definition at line 632 of file MyCaffeTrainerRNN.cs.

◆ Run() [1/2]

float[] MyCaffe.trainers.MyCaffeTrainerRNN.Run	(	Component	mycaffe,
		int	nN
	)

Create a new trainer and use it to run a single run cycle.

Parameters

mycaffe	Specifies the MyCaffeControl to use.
nN	Specifies the number of samples to run.

Returns: The results of the run are returned.

Implements MyCaffe.trainers.IXMyCaffeCustomTrainerRNN.

Definition at line 415 of file MyCaffeTrainerRNN.cs.

◆ Run() [2/2]

byte[] MyCaffe.trainers.MyCaffeTrainerRNN.Run	(	Component	mycaffe,
		int	nN,
		out string	type
	)

Run the network using the run technique implemented by this trainer.

Parameters

mycaffe	Specifies an instance to the MyCaffeControl component.
nN	Specifies the number of samples to run.
type	Specifies the output data type returned as a raw byte stream.

Returns: The run results are returned in the same native type as that of the CustomQuery used.

Implements MyCaffe.trainers.IXMyCaffeCustomTrainerRNN.

Definition at line 438 of file MyCaffeTrainerRNN.cs.

◆ shutdown()

virtual void MyCaffe.trainers.MyCaffeTrainerRNN.shutdown ( )

protectedvirtual

Override called from within the CleanUp method.

Definition at line 203 of file MyCaffeTrainerRNN.cs.

◆ Test()

void MyCaffe.trainers.MyCaffeTrainerRNN.Test	(	Component	mycaffe,
		int	nIterationOverride,
		ITERATOR_TYPE	type = `ITERATOR_TYPE.ITERATION`
	)

Create a new trainer and use it to run a test cycle.

Parameters

mycaffe	Specifies the MyCaffeControl to use.
nIterationOverride	Specifies the iterations to run if greater than zero.
type	Specifies the type of iterator to use.

Implements MyCaffe.trainers.IXMyCaffeCustomTrainer.

Definition at line 460 of file MyCaffeTrainerRNN.cs.

◆ testAccuracyUpdate()

virtual void MyCaffe.trainers.MyCaffeTrainerRNN.testAccuracyUpdate ( TestAccuracyUpdateArgs e )

protectedvirtual

Override called by the OnTestAccuracyUpdate event fired from within the Run method and is used to give the recipient the chance to determine whether the label detected is correct or not.

Parameters

e	Specifies the argument sent with the callback.

Definition at line 231 of file MyCaffeTrainerRNN.cs.

◆ Train()

void MyCaffe.trainers.MyCaffeTrainerRNN.Train	(	Component	mycaffe,
		int	nIterationOverride,
		ITERATOR_TYPE	type = `ITERATOR_TYPE.ITERATION`,
		TRAIN_STEP	step = `TRAIN_STEP.NONE`
	)

Create a new trainer and use it to run a training cycle.

Parameters

mycaffe	Specifies the MyCaffeControl to use.
nIterationOverride	Specifies the iterations to run if greater than zero.
type	Specifies the type of iterator to use.
step	Optionally, specifies whether or not to step the training for debugging (default = NONE).

Implements MyCaffe.trainers.IXMyCaffeCustomTrainer.

Definition at line 479 of file MyCaffeTrainerRNN.cs.

Member Data Documentation

◆ m_dsCi

ConnectInfo MyCaffe.trainers.MyCaffeTrainerRNN.m_dsCi = null

protected

Optionally, specifies the dataset connection info, or null.

Definition at line 45 of file MyCaffeTrainerRNN.cs.

◆ m_nProjectID

int MyCaffe.trainers.MyCaffeTrainerRNN.m_nProjectID = 0

protected

Specifies the project ID of the project held by the instance of MyCaffe.

Definition at line 41 of file MyCaffeTrainerRNN.cs.

◆ m_properties

PropertySet MyCaffe.trainers.MyCaffeTrainerRNN.m_properties = null

protected

Specifies the properties parsed from the key-value pair passed to the Initialize method.

Definition at line 37 of file MyCaffeTrainerRNN.cs.

Property Documentation

◆ category

virtual TRAINING_CATEGORY MyCaffe.trainers.MyCaffeTrainerRNN.category

getprotected

Override when using a training method other than the RECURRENT method (the default).

Definition at line 97 of file MyCaffeTrainerRNN.cs.

◆ Information

string MyCaffe.trainers.MyCaffeTrainerRNN.Information

get

Returns information describing the trainer.

Definition at line 597 of file MyCaffeTrainerRNN.cs.

◆ IsRunningSupported

bool MyCaffe.trainers.MyCaffeTrainerRNN.IsRunningSupported

get

Returns whether or not Running is supported.

Definition at line 343 of file MyCaffeTrainerRNN.cs.

◆ IsTestingSupported

bool MyCaffe.trainers.MyCaffeTrainerRNN.IsTestingSupported

get

Returns whether or not Testing is supported.

Definition at line 335 of file MyCaffeTrainerRNN.cs.

◆ IsTrainingSupported

bool MyCaffe.trainers.MyCaffeTrainerRNN.IsTrainingSupported

get

Returns whether or not Training is supported.

Definition at line 327 of file MyCaffeTrainerRNN.cs.

◆ name

virtual string MyCaffe.trainers.MyCaffeTrainerRNN.name

getprotected

Overriden to give the actual name of the custom trainer.

Definition at line 89 of file MyCaffeTrainerRNN.cs.

◆ Name

string MyCaffe.trainers.MyCaffeTrainerRNN.Name

get

Returns the name of the custom trainer. This method calls the 'name' override.

Definition at line 290 of file MyCaffeTrainerRNN.cs.

◆ Stage

Stage MyCaffe.trainers.MyCaffeTrainerRNN.Stage

get

Returns the Stage.RNN type.

Definition at line 282 of file MyCaffeTrainerRNN.cs.

◆ TrainingCategory

TRAINING_CATEGORY MyCaffe.trainers.MyCaffeTrainerRNN.TrainingCategory

get

Returns the training category of the custom trainer (default = REINFORCEMENT).

Definition at line 298 of file MyCaffeTrainerRNN.cs.

The documentation for this class was generated from the following files:

C:/Data/Data/SS_Projects/Intelligence/GitHub/MyCaffe/MyCaffe.trainers/MyCaffeTrainerRNN.cs
C:/Data/Data/SS_Projects/Intelligence/GitHub/MyCaffe/MyCaffe.trainers/MyCaffeTrainerRNN.Designer.cs

Public Member Functions

Protected Member Functions

Protected Attributes

Properties

Detailed Description

Constructor & Destructor Documentation

◆ MyCaffeTrainerRNN() [1/2]

◆ MyCaffeTrainerRNN() [2/2]

Member Function Documentation

◆ CleanUp()

◆ convertOutput()

◆ create_trainerD()

◆ create_trainerF()

◆ dispose()

◆ Dispose()

◆ get_dataset_override()

◆ get_information()

◆ get_update_snapshot()

◆ getData()

◆ GetDatasetOverride()

◆ GetProperty()

◆ GetUpdateSnapshot()

◆ initialize()

◆ Initialize()

◆ OnConvertOutput()

◆ OnGetData()

◆ OnInitialize()

◆ OnShutdown()

◆ OnTestAccuracyUpdate()

◆ OnUpdateStatus()

◆ OnWait()

◆ openUi()

◆ OpenUi()

◆ preloaddata()

◆ PreloadData()

◆ ResizeModel()

◆ Run() [1/2]

◆ Run() [2/2]

◆ shutdown()

◆ Test()

◆ testAccuracyUpdate()

◆ Train()

Member Data Documentation

◆ m_dsCi

◆ m_nProjectID

◆ m_properties

Property Documentation

◆ category

◆ Information

◆ IsRunningSupported

◆ IsTestingSupported

◆ IsTrainingSupported

◆ name

◆ Name

◆ Stage

◆ TrainingCategory