MyCaffe.layers.tft.RawSqlData< T > Class Template Reference

The RawSqlData class loads data from a database. More...

Inheritance diagram for MyCaffe.layers.tft.RawSqlData< T >:

Public Member Functions
	RawSqlData (uint? nSeed, bool bOutputTargetHistorical, IXTemporalDatabaseBase db, Log log)
	The constructor. More...
override bool	LoadData (Phase phase, string strDataset, bool bShuffleData, int nBatchSize, int nHistoricalSteps, int nFutureSteps, double dfPctMaxLoad, int nDripRefreshRateInSec, uint nChunkCount, Log log, CancelEvent evtCancel)
	Loads all data values for the phase specified. More...
override void	Add (LossArgs e, int[,] rgIdx)
	Add the loss data for the batch into the performance data later used to select the worst cases. More...
override int[,]	LoadBatch (Phase phase, int nBatchSize, BlobCollection< T > col, bool bEnableDebug=false, string strDebugPath=null)
	Load a batch of data to feed into the network. More...
override int	GetTotalSize ()
	Return the total number of blocks available in the current phase. More...
override int[]	GetShape (DataNpy< T >.OUTPUT_TYPE ot)
	Return the shape of the OUTPUT_TYPE. More...
Public Member Functions inherited from MyCaffe.layers.tft.RawData< T >
	RawData (uint? nSeed, bool bOutputTargetHistorical)
	The constructor. More...

Additional Inherited Members
Protected Member Functions inherited from MyCaffe.layers.tft.RawData< T >
virtual void	loadDataFunction (object obj)
	The virtual load data function override by the derived class to load the data in the background. More...
Protected Attributes inherited from MyCaffe.layers.tft.RawData< T >
Data< T >	m_data
	Specifies the base data object used to store data blocks loaded from disk or database. More...
Random	m_random
	Specifies the random number generator used to shuffle the data. More...
int	m_nBatchSize
	Specifies the batch size. More...
bool	m_bOutputTargetHistorical
	Specifies to output the target historical data. More...
Properties inherited from MyCaffe.layers.tft.RawData< T >
Random	Random [get]
	Specifies the random number generator used. More...

Detailed Description

The RawSqlData class loads data from a database.

Template Parameters

T	Specifies the base type.

Definition at line 352 of file DataTemporalLayer.cs.

Constructor & Destructor Documentation

RawSqlData()

MyCaffe.layers.tft.RawSqlData< T >.RawSqlData	(	uint?	nSeed,
		bool	bOutputTargetHistorical,
		IXTemporalDatabaseBase	db,
		Log	log
	)

The constructor.

Parameters

nSeed	Specifies the random number generator seed.
bOutputTargetHistorical	Specifies to output the target historical data.
db	Specifies the external database.
log	Specifies the output log.

Definition at line 381 of file DataTemporalLayer.cs.

Member Function Documentation

Add()

override void MyCaffe.layers.tft.RawSqlData< T >.Add ( LossArgs  e, int  rgIdx[,]  )

virtual

Add the loss data for the batch into the performance data later used to select the worst cases.

Parameters

e	Specifies the loss data.
rgIdx	Specifies the selected indexes for the batch.

Reimplemented from MyCaffe.layers.tft.RawData< T >.

Definition at line 466 of file DataTemporalLayer.cs.

GetShape()

override int[] MyCaffe.layers.tft.RawSqlData< T >.GetShape ( DataNpy< T >.OUTPUT_TYPE  ot )

virtual

Return the shape of the OUTPUT_TYPE.

Parameters

ot	Specifies the output type.

Returns

The shape array is returned.

Reimplemented from MyCaffe.layers.tft.RawData< T >.

Definition at line 618 of file DataTemporalLayer.cs.

GetTotalSize()

override int MyCaffe.layers.tft.RawSqlData< T >.GetTotalSize ( )

virtual

Return the total number of blocks available in the current phase.

Returns

The total number of blocks is returned.

Reimplemented from MyCaffe.layers.tft.RawData< T >.

Definition at line 608 of file DataTemporalLayer.cs.

LoadBatch()

override int[,] MyCaffe.layers.tft.RawSqlData< T >.LoadBatch ( Phase  phase, int  nBatchSize, BlobCollection< T >  col, bool  bEnableDebug = false, string  strDebugPath = null  )

virtual

Load a batch of data to feed into the network.

Parameters

phase	Specifies the phase being loaded (e.g., TRAIN, TEST).
nBatchSize	Specifies the batch size.
col	Specifies the collection of blobs to load.
bEnableDebug	Optionally, specifies to enable debug output (default = false).
strDebugPath	Optionally, specifies the debug path where debug images are placed when 'EnableDebug' = true.

Returns

The list of selected indexes is returned.

Reimplemented from MyCaffe.layers.tft.RawData< T >.

Definition at line 483 of file DataTemporalLayer.cs.

LoadData()

override bool MyCaffe.layers.tft.RawSqlData< T >.LoadData ( Phase  phase, string  strDataset, bool  bShuffleData, int  nBatchSize, int  nHistoricalSteps, int  nFutureSteps, double  dfPctMaxLoad, int  nDripRefreshRateInSec, uint  nChunkCount, Log  log, CancelEvent  evtCancel  )

virtual

Loads all data values for the phase specified.

Parameters

phase	Specifies the phase for which the data is to be loaded (e.g., TRAIN, TEST)
strDataset	Specifies the name of the dataset.
bShuffleData	Specifies to shuffle the data.
nBatchSize	Specifies the batch size.
nHistoricalSteps	Specifies the number of historical steps (before current time).
nFutureSteps	Specifies the number of future steps (after current time).
dfPctMaxLoad	Specifies the maximum percentage to load into memory.
nDripRefreshRateInSec	Specifies how often in seconds to refresh the data.
nChunkCount	Specifies the number of chunks (blocks) to refresh.
log	Specifies the output log.
evtCancel	Specifies the event used to cancel loading.

Returns

True is returned if the data is loaded successfully, otherwise false.

Reimplemented from MyCaffe.layers.tft.RawData< T >.

Definition at line 402 of file DataTemporalLayer.cs.

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

• C:/Data/Data/SS_Projects/Intelligence/GitHub/MyCaffe/MyCaffe.layers.tft/layers.tft/DataTemporalLayer.cs