FFNtrainInfo Class Reference

Collaboration diagram for FFNtrainInfo:

[legend]

List of all members.

Public Member Functions
	FFNtrainInfo (std::string fName=std::string(""))
	Constructor.
virtual	~FFNtrainInfo ()
	Destructor.
bool	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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Detailed Description

Definition at line 53 of file trainUtils.H.

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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 48 of file trainUtils.C.

References reset().

FFNtrainInfo::~FFNtrainInfo

(

)

[virtual]

Destructor.

Definition at line 55 of file trainUtils.C.

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Member Function Documentation

bool FFNtrainInfo::reset

(

std::string

fName

)

reset the Neural Network classifier parameter

reset the training info with a new file

Definition at line 60 of file trainUtils.C.

References evecFname, h1Name, h1size, h2Name, h2size, isPCA, learnRate, nOutput, oName, oriFeatSize, redFeatSize, 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 70 of file trainUtils.H.

Referenced by reset().

std::string FFNtrainInfo::h1Name

the weight file for hidden layer 1

Definition at line 75 of file trainUtils.H.

Referenced by reset().

uint FFNtrainInfo::h1size

the number of hidden nodes in layer 1

Definition at line 73 of file trainUtils.H.

Referenced by reset().

std::string FFNtrainInfo::h2Name

the weight file for hidden layer 2

Definition at line 76 of file trainUtils.H.

Referenced by reset().

uint FFNtrainInfo::h2size

the number of hidden nodes in layer 2

Definition at line 74 of file trainUtils.H.

Referenced by reset().

bool FFNtrainInfo::isPCA

has a dimension reduction step

Definition at line 69 of file trainUtils.H.

Referenced by Environment::classifySegNum(), and reset().

float FFNtrainInfo::learnRate

the learning rate

Definition at line 78 of file trainUtils.H.

Referenced by reset().

uint FFNtrainInfo::nOutput

the number of output dimension

Definition at line 68 of file trainUtils.H.

Referenced by reset().

std::string FFNtrainInfo::oName

the weight file for output layer

Definition at line 77 of file trainUtils.H.

Referenced by reset().

uint FFNtrainInfo::oriFeatSize

the original number of features

Definition at line 71 of file trainUtils.H.

Referenced by reset().

uint FFNtrainInfo::redFeatSize

the reduced number of features

Definition at line 72 of file trainUtils.H.

Referenced by reset().

std::string FFNtrainInfo::testFolder

where the testing data is

Definition at line 67 of file trainUtils.H.

Referenced by reset().

std::string FFNtrainInfo::testSampleFile

the testing sample file list

Definition at line 80 of file trainUtils.H.

Referenced by reset().

std::string FFNtrainInfo::trainFolder

where the training data is

Definition at line 66 of file trainUtils.H.

Referenced by reset().

std::string FFNtrainInfo::trainSampleFile

the training sample file list

Definition at line 79 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