NetLearner Class Reference

Runs multiple learning epochs using Batcher objects. More...

Inherits NetLearnerBase.

Public Member Functions
publicapi	NetLearner (Trainer *trainer, Trainable *net, int Ntrain, float *trainData, int *trainLabels, int Ntest, float *testData, int *testLabels, int batchSize)
virtual publicapi void	reset ()
virtual publicapi bool	tickBatch ()
virtual publicapi bool	getEpochDone ()
virtual publicapi int	getNextEpoch ()
virtual publicapi int	getNextBatch ()
virtual publicapi int	getNTrain ()
virtual publicapi int	getBatchNumRight ()
virtual publicapi float	getBatchLoss ()
virtual publicapi bool	tickEpoch ()
virtual publicapi void	run ()
virtual publicapi bool	isLearningDone ()

Detailed Description

Runs multiple learning epochs using Batcher objects.

Handles learning the neural net, ie running multiple epochs. Uses two Batchers, one for training, one for testing, to learn the epochs.

This class expects the data to be already in memory. If the data is really big, wont fit in memory, you probably want to use something more like NetLearnerOnDemand, which can load in a chunk of data from datafiles at a time

Public API

Constructor & Destructor Documentation

publicapi NetLearner::NetLearner	(	Trainer *	trainer,
		Trainable *	net,
		int	Ntrain,
		float *	trainData,
		int *	trainLabels,
		int	Ntest,
		float *	testData,
		int *	testLabels,
		int	batchSize
	)

Public API

Member Function Documentation

publicapi VIRTUAL void NetLearner::reset ( )

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publicapi VIRTUAL bool NetLearner::tickBatch ( )

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publicapi VIRTUAL bool NetLearner::getEpochDone ( )

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publicapi VIRTUAL int NetLearner::getNextEpoch ( )

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publicapi VIRTUAL int NetLearner::getNextBatch ( )

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publicapi VIRTUAL int NetLearner::getNTrain ( )

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publicapi VIRTUAL int NetLearner::getBatchNumRight ( )

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publicapi VIRTUAL float NetLearner::getBatchLoss ( )

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publicapi VIRTUAL bool NetLearner::tickEpoch ( )

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publicapi VIRTUAL void NetLearner::run ( )

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publicapi VIRTUAL bool NetLearner::isLearningDone ( )

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

• NetLearner.h
• NetLearner.cpp