FFNtrainInfo Class Reference

Collaboration diagram for FFNtrainInfo:

[legend]List of all members.

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Detailed Description

Definition at line 51 of file trainUtils.H.

Public Member Functions
	FFNtrainInfo (std::string fName=std::string(""))
	Constructor.
virtual	~FFNtrainInfo ()
	Destructor.
void	reset (std::string fName)
	reset the Neural Network classifier parameter
Public Attributes
std::string	trainFolder
	where the training data is
std::string	testFolder
	where the testing data is
uint	nOutput
	the number of output dimension
bool	isPCA
	has a dimension reduction step
std::string	evecFname
	the dimension reduction
uint	oriFeatSize
	the original number of features
uint	redFeatSize
	the reduced number of features
uint	h1size
	the number of hidden nodes in layer 1
uint	h2size
	the number of hidden nodes in layer 2
std::string	h1Name
	the weight file for hidden layer 1
std::string	h2Name
	the weight file for hidden layer 2
std::string	oName
	the weight file for output layer
float	learnRate
	the learning rate
std::string	trainSampleFile
	the training sample file list
std::string	testSampleFile
	the testing sample file list

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Constructor & Destructor Documentation

FFNtrainInfo::FFNtrainInfo (  std::string  fName = std::string("")  )

Constructor. Construct a FFN training params info if blank, need to call reset later on Definition at line 46 of file trainUtils.C. References reset().

FFNtrainInfo::~FFNtrainInfo (   )  [virtual]

Destructor. Definition at line 53 of file trainUtils.C.

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Member Function Documentation

void FFNtrainInfo::reset (  std::string  fName  )

reset the Neural Network classifier parameter Definition at line 58 of file trainUtils.C. References evecFname, h1Name, h1size, h2Name, h2size, isPCA, learnRate, LFATAL, LINFO, nOutput, oName, oriFeatSize, redFeatSize, temp, testFolder, testSampleFile, trainFolder, and trainSampleFile. Referenced by FFNtrainInfo().

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Member Data Documentation

std::string FFNtrainInfo::evecFname

the dimension reduction Definition at line 68 of file trainUtils.H. Referenced by main(), and reset().

std::string FFNtrainInfo::h1Name

the weight file for hidden layer 1 Definition at line 73 of file trainUtils.H. Referenced by main(), and reset().

uint FFNtrainInfo::h1size

the number of hidden nodes in layer 1 Definition at line 71 of file trainUtils.H. Referenced by main(), and reset().

std::string FFNtrainInfo::h2Name

the weight file for hidden layer 2 Definition at line 74 of file trainUtils.H. Referenced by main(), and reset().

uint FFNtrainInfo::h2size

the number of hidden nodes in layer 2 Definition at line 72 of file trainUtils.H. Referenced by main(), and reset().

bool FFNtrainInfo::isPCA

has a dimension reduction step Definition at line 67 of file trainUtils.H. Referenced by Environment::classifySegNum(), main(), and reset().

float FFNtrainInfo::learnRate

the learning rate Definition at line 76 of file trainUtils.H. Referenced by reset().

uint FFNtrainInfo::nOutput

the number of output dimension Definition at line 66 of file trainUtils.H. Referenced by main(), and reset().

std::string FFNtrainInfo::oName

the weight file for output layer Definition at line 75 of file trainUtils.H. Referenced by main(), and reset().

uint FFNtrainInfo::oriFeatSize

the original number of features Definition at line 69 of file trainUtils.H. Referenced by main(), and reset().

uint FFNtrainInfo::redFeatSize

the reduced number of features Definition at line 70 of file trainUtils.H. Referenced by main(), and reset().

std::string FFNtrainInfo::testFolder

where the testing data is Definition at line 65 of file trainUtils.H. Referenced by reset().

std::string FFNtrainInfo::testSampleFile

the testing sample file list Definition at line 78 of file trainUtils.H. Referenced by reset().

std::string FFNtrainInfo::trainFolder

where the training data is Definition at line 64 of file trainUtils.H. Referenced by main(), and reset().

std::string FFNtrainInfo::trainSampleFile

the training sample file list Definition at line 77 of file trainUtils.H. Referenced by reset().

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

• src/Gist/trainUtils.H
• src/Gist/trainUtils.C

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