#include <UnlabelledData.h>

Public Member Functions
	UnlabelledData (const UINT numDimensions=0, const std::string datasetName="NOT_SET", const std::string infoText="")

	UnlabelledData (const UnlabelledData &rhs)

	~UnlabelledData ()

UnlabelledData &	operator= (const UnlabelledData &rhs)

VectorFloat &	operator[] (const UINT &i)

const VectorFloat &	operator[] (const UINT &i) const

void	clear ()

bool	setNumDimensions (const UINT numDimensions)

bool	setDatasetName (const std::string datasetName)

bool	setInfoText (const std::string infoText)

bool	addSample (const VectorFloat &sample)

bool	removeLastSample ()

bool	reserve (const UINT N)

bool	setExternalRanges (const Vector< MinMax > &externalRanges, const bool useExternalRanges=false)

bool	enableExternalRangeScaling (const bool useExternalRanges)

bool	scale (const Float minTarget, const Float maxTarget)

bool	scale (const Vector< MinMax > &ranges, const Float minTarget, const Float maxTarget)

bool	save (const std::string &filename) const

bool	load (const std::string &filename)

bool	saveDatasetToFile (const std::string &filename) const

bool	loadDatasetFromFile (const std::string &filename)

bool	saveDatasetToCSVFile (const std::string &filename) const

bool	loadDatasetFromCSVFile (const std::string &filename)

	GRT_DEPRECATED_MSG ("partition(...) is deprecated, use split(...) instead", UnlabelledData partition(const UINT partitionPercentage))

UnlabelledData	split (const UINT partitionPercentage)

bool	merge (const UnlabelledData &unlabelledData)

bool	spiltDataIntoKFolds (const UINT K)

UnlabelledData	getTrainingFoldData (const UINT foldIndex) const

UnlabelledData	getTestFoldData (const UINT foldIndex) const

std::string	getDatasetName () const

std::string	getInfoText () const

std::string	getStatsAsString () const

UINT	getNumDimensions () const

UINT	getNumSamples () const

Vector< MinMax >	getRanges () const

Vector< VectorFloat >	getData () const

MatrixDouble	getDataAsMatrixDouble () const

MatrixFloat	getDataAsMatrixFloat () const

Detailed Description

GRT MIT License Copyright (c) <2012> <Nicholas Gillian, Media Lab, MIT>

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Definition at line 38 of file UnlabelledData.h.

Constructor & Destructor Documentation

GRT_BEGIN_NAMESPACE UnlabelledData::UnlabelledData	(	const UINT	numDimensions = `0`,
		const std::string	datasetName = `"NOT_SET"`,
		const std::string	infoText = `""`
	)

Constructor, sets the name of the dataset and the number of dimensions of the training data. The name of the dataset should not contain any spaces.

Parameters

numDimensions	the number of dimensions of the training data, should be an unsigned integer greater than 0
datasetName	the name of the dataset, should not contain any spaces
infoText	some info about the data in this dataset, this can contain spaces

Definition at line 26 of file UnlabelledData.cpp.

UnlabelledData::UnlabelledData ( const UnlabelledData & rhs )

Copy Constructor, copies the UnlabelledData from the rhs instance to this instance

Parameters

rhs	another instance of the UnlabelledData class from which the data will be copied to this instance

Definition at line 36 of file UnlabelledData.cpp.

UnlabelledData::~UnlabelledData ( )

Default Destructor

Definition at line 40 of file UnlabelledData.cpp.

Member Function Documentation

bool UnlabelledData::addSample ( const VectorFloat & sample )

Adds a new unlabelled sample to the dataset. The dimensionality of the sample should match the number of dimensions in the UnlabelledData.

Parameters

sample the new sample you want to add to the dataset. The dimensionality of this sample should match the number of dimensions in the UnlabelledData

Returns: true if the sample was correctly added to the dataset, false otherwise

Definition at line 102 of file UnlabelledData.cpp.

void UnlabelledData::clear ( )

Clears any previous training data and counters

Definition at line 61 of file UnlabelledData.cpp.

bool UnlabelledData::enableExternalRangeScaling ( const bool useExternalRanges )

Sets if the dataset should be scaled using an external range (if useExternalRanges == true) or the ranges of the dataset (if false). The external ranges need to be set FIRST before calling this function, otherwise it will return false.

Parameters

useExternalRanges sets if these ranges should be used to scale the dataset

Returns: returns true if the useExternalRanges variable was set, false otherwise

Definition at line 157 of file UnlabelledData.cpp.

Vector< VectorFloat > UnlabelledData::getData ( ) const

Gets the unlabeled classification data as a vector of VectorFloats.

Returns: a vector< VectorFloat > containing the UnlabeledClassificationSamples

Definition at line 644 of file UnlabelledData.cpp.

MatrixDouble UnlabelledData::getDataAsMatrixDouble ( ) const

Gets the unlabeled classification data as a MatrixDouble.

Returns: a MatrixDouble containing the UnlabeledClassificationSamples

Definition at line 648 of file UnlabelledData.cpp.

MatrixFloat UnlabelledData::getDataAsMatrixFloat ( ) const

Gets the data as a MatrixFloat. This will be an M by N MatrixFloat, where M is the number of samples and N is the number of dimensions.

Returns: a MatrixFloat containing the data from the current dataset.

Definition at line 662 of file UnlabelledData.cpp.

std::string UnlabelledData::getDatasetName ( ) const

inline

Gets the name of the dataset.

Returns: returns the name of the dataset

Definition at line 306 of file UnlabelledData.h.

std::string UnlabelledData::getInfoText ( ) const

inline

Gets the infotext for the dataset

Returns: returns the infotext of the dataset

Definition at line 313 of file UnlabelledData.h.

UINT UnlabelledData::getNumDimensions ( ) const

inline

Gets the number of dimensions of the labelled classification data.

Returns: an unsigned int representing the number of dimensions in the classification data

Definition at line 327 of file UnlabelledData.h.

UINT UnlabelledData::getNumSamples ( ) const

inline

Gets the number of samples in the classification data across all the classes.

Returns: an unsigned int representing the total number of samples in the classification data

Definition at line 334 of file UnlabelledData.h.

Vector< MinMax > UnlabelledData::getRanges ( ) const

Gets the ranges of the classification data.

Returns: a vector of minimum and maximum values for each dimension of the data

Definition at line 623 of file UnlabelledData.cpp.

std::string UnlabelledData::getStatsAsString ( ) const

Gets the stats of the dataset as a string

Returns: returns the stats of this dataset as a string

Definition at line 606 of file UnlabelledData.cpp.

UnlabelledData UnlabelledData::getTestFoldData ( const UINT foldIndex ) const

Returns the test dataset for the k-th fold for cross validation. The spiltDataIntoKFolds(UINT K) function should have been called once before using this function. The foldIndex should be in the range [0 K-1], where K is the number of folds the data was spilt into.

Parameters

foldIndex the index of the fold you want the test data for, this should be in the range [0 K-1], where K is the number of folds the data was spilt into

Returns: returns a test dataset

Definition at line 581 of file UnlabelledData.cpp.

UnlabelledData UnlabelledData::getTrainingFoldData ( const UINT foldIndex ) const

Returns the training dataset for the k-th fold for cross validation. The spiltDataIntoKFolds(UINT K) function should have been called once before using this function. The foldIndex should be in the range [0 K-1], where K is the number of folds the data was spilt into.

Parameters

foldIndex the index of the fold you want the training data for, this should be in the range [0 K-1], where K is the number of folds the data was spilt into

Returns: returns a training dataset

Definition at line 545 of file UnlabelledData.cpp.

UnlabelledData::GRT_DEPRECATED_MSG	(	"partition(...) is	deprecated,
		use split(...) instead"	,
		UnlabelledData	partitionconst UINT partitionPercentage
	)

Deprecated:

use split(...) instead

Parameters

partitionPercentage sets the percentage of data which remains in this instance, the remaining percentage of data is then returned as the testing/validation dataset

Returns: a new UnlabelledData instance, containing the remaining data not kept but this instance

bool UnlabelledData::load ( const std::string & filename )

Load the data from a file. If the file format ends in '.csv' then the function will try and load the data from a csv format. If this fails then it will try and load the data as a custom GRT file.

Parameters

filename the name of the file the data will be loaded from

Returns: true if the data was loaded successfully, false otherwise

Definition at line 194 of file UnlabelledData.cpp.

bool UnlabelledData::loadDatasetFromCSVFile ( const std::string & filename )

Loads the unlabelled classification data from a CSV file. This assumes the data is formatted with each row representing a sample. The sample data should be formatted as N columns, where N is the number of dimensions in the data. Each row should represent a sample

Parameters

filename the name of the file the data will be loaded from

Returns: true if the data was loaded successfully, false otherwise

Definition at line 367 of file UnlabelledData.cpp.

bool UnlabelledData::loadDatasetFromFile ( const std::string & filename )

Loads the unlabeled classification data from a custom file format.

Parameters

filename the name of the file the data will be loaded from

Returns: true if the data was loaded successfully, false otherwise

Definition at line 243 of file UnlabelledData.cpp.

bool UnlabelledData::merge ( const UnlabelledData & unlabelledData )

Adds the data in the unlabelledData set to the current instance of the UnlabelledData. The number of dimensions in both datasets must match.

Parameters

unlabelledData the dataset to add to this dataset

Returns: returns true if the datasets were merged, false otherwise

Definition at line 465 of file UnlabelledData.cpp.

UnlabelledData & UnlabelledData::operator= ( const UnlabelledData & rhs )

Sets the equals operator, copies the data from the rhs instance to this instance

Parameters

rhs	another instance of the UnlabelledData class from which the data will be copied to this instance

Returns: a reference to this instance of UnlabelledData

Definition at line 42 of file UnlabelledData.cpp.

VectorFloat& UnlabelledData::operator[] ( const UINT & i )

inline

Array Subscript Operator, returns the UnlabelledData at index i. It is up to the user to ensure that i is within the range of [0 totalNumSamples-1]

Parameters

i	the index of the training sample you want to access. Must be within the range of [0 totalNumSamples-1]

Returns: the i'th row vector

Definition at line 78 of file UnlabelledData.h.

const VectorFloat& UnlabelledData::operator[] ( const UINT & i ) const

inline

Array Subscript Operator, returns the const UnlabelledData at index i. It is up to the user to ensure that i is within the range of [0 totalNumSamples-1]

Parameters

i	the index of the training sample you want to access. Must be within the range of [0 totalNumSamples-1]

Returns: the i'th row vector

Definition at line 89 of file UnlabelledData.h.

bool UnlabelledData::removeLastSample ( )

Removes the last training sample added to the dataset.

Returns: true if the last sample was removed, false otherwise

Definition at line 116 of file UnlabelledData.cpp.

bool UnlabelledData::reserve ( const UINT N )

Reserves that the vector capacity be at least enough to contain N elements.

If N is greater than the current vector capacity, the function causes the container to reallocate its storage increasing its capacity to N (or greater).

Parameters

N	the new memory size

Returns: true if the memory was reserved successfully, false otherwise

Definition at line 138 of file UnlabelledData.cpp.

bool UnlabelledData::save ( const std::string & filename ) const

Saves the data to a file. If the file format ends in '.csv' then the data will be saved as comma-seperated-values, otherwise it will be saved to a custom GRT file (which contains the csv data with an additional header).

Parameters

filename the name of the file the data will be saved to

Returns: true if the data was saved successfully, false otherwise

Definition at line 183 of file UnlabelledData.cpp.

bool UnlabelledData::saveDatasetToCSVFile ( const std::string & filename ) const

Saves the unlabeled classification data to a CSV file. This will save the sample data as N columns, where N is the number of dimensions in the data. Each row will represent a sample.

Parameters

filename the name of the file the data will be saved to

Returns: true if the data was saved successfully, false otherwise

Definition at line 343 of file UnlabelledData.cpp.

bool UnlabelledData::saveDatasetToFile ( const std::string & filename ) const

Saves the unlabeled classification data to a custom file format.

Parameters

filenamee the name of the file the data will be saved to

Returns: true if the data was saved successfully, false otherwise

Definition at line 205 of file UnlabelledData.cpp.

bool UnlabelledData::scale	(	const Float	minTarget,
		const Float	maxTarget
	)

Scales the dataset to the new target range.

Parameters

minTarget	the minimum target range for scaling
maxTarget	the maximum target range for scaling

Returns: true if the data was scaled correctly, false otherwise

Definition at line 165 of file UnlabelledData.cpp.

bool UnlabelledData::scale	(	const Vector< MinMax > &	ranges,
		const Float	minTarget,
		const Float	maxTarget
	)

Scales the dataset to the new target range, using the vector of ranges as the min and max source ranges.

Parameters

range	the ranges to be used for scaling, the size of the vector should match the number of dimensions in the dataset
minTarget	the minimum target range for scaling
maxTarget	the maximum target range for scaling

Returns: true if the data was scaled correctly, false otherwise

Definition at line 170 of file UnlabelledData.cpp.

bool UnlabelledData::setDatasetName ( const std::string datasetName )

Sets the name of the dataset. There should not be any spaces in the name. Will return true if the name is set, or false otherwise.

Parameters

datasetName the new name for the dataset

Returns: returns true if the name is set, or false otherwise

Definition at line 86 of file UnlabelledData.cpp.

bool UnlabelledData::setExternalRanges	(	const Vector< MinMax > &	externalRanges,
		const bool	useExternalRanges = `false`
	)

Sets the external ranges of the dataset, also sets if the dataset should be scaled using these values. The dimensionality of the externalRanges vector should match the number of dimensions of this dataset.

Parameters

externalRanges	an N dimensional vector containing the min and max values of the expected ranges of the dataset.
useExternalRanges	sets if these ranges should be used to scale the dataset, default value is false.

Returns: returns true if the external ranges were set, false otherwise

Definition at line 147 of file UnlabelledData.cpp.

bool UnlabelledData::setInfoText ( const std::string infoText )

Sets the info string. This can be any string with information about how the training data was recorded for example.

Parameters

infoText the infoText

Returns: true if the infoText was correctly updated, false otherwise

Definition at line 97 of file UnlabelledData.cpp.

bool UnlabelledData::setNumDimensions ( const UINT numDimensions )

Sets the number of dimensions in the training data. This should be an unsigned integer greater than zero. This will clear any previous training data and counters. This function needs to be called before any new samples can be added to the dataset, unless the numDimensions variable was set in the constructor or some data was already loaded from a file

Parameters

numDimensions the number of dimensions of the training data. Must be an unsigned integer greater than zero

Returns: true if the number of dimensions was correctly updated, false otherwise

Definition at line 68 of file UnlabelledData.cpp.

bool UnlabelledData::spiltDataIntoKFolds ( const UINT K )

This function prepares the dataset for k-fold cross validation and should be called prior to calling the getTrainingFold(UINT foldIndex) or getTestingFold(UINT foldIndex) functions. It will spilt the dataset into K-folds, as long as K < M, where M is the number of samples in the dataset.

Parameters

K	the number of folds the dataset will be split into, K should be less than the number of samples in the dataset

Returns: returns true if the dataset was split correctly, false otherwise

Definition at line 486 of file UnlabelledData.cpp.

UnlabelledData UnlabelledData::split ( const UINT partitionPercentage )

Partitions the dataset into a training dataset (which is kept by this instance of the UnlabelledData) and a testing/validation dataset (which is returned as a new instance of a UnlabelledData).

Parameters

partitionPercentage sets the percentage of data which remains in this instance, the remaining percentage of data is then returned as the testing/validation dataset

Returns: a new UnlabelledData instance, containing the remaining data not kept but this instance

Definition at line 419 of file UnlabelledData.cpp.

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

Public Member Functions

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation