grail::simulation::Dataset Class Reference

Public Member Functions
size_t	DecisionVariablesCount () const
	Gets the number of measures (also know as considerations / decisions / columns in dataset). More...
const std::vector< DTConsiderationType > &	GetConsiderationTypes () const
	Gets types of the respective consideration, in order of appearance. The types are either NUMERIC or NOMINAL. More...
const DTConsiderationType	GetConsiderationType (int columnIndex) const
	Returns the type of the i-th consideration; i = columnIndex. More...
	Dataset (std::initializer_list< DTConsiderationType > considerationTypes)
	Creates a new dataset. More...
	Dataset (std::vector< DTConsiderationType > considerationTypes)
	Creates a new dataset. More...
void	AddSample (std::unique_ptr< ISimulatedGameAction > decision, std::initializer_list< float > data)
	Constructs and insert new sample to the dataset. The sample is constructed using the @decision and values for considerations (@data).
void	AddSample (std::unique_ptr< ISimulatedGameAction > decision, std::vector< float > data)
	Constructs and insert new sample to the dataset. The sample is constructed using the @decision and values for considerations (@data).
void	AddSample (std::unique_ptr< DatasetSample > sample)
	Insert new sample to the dataset.
double	ValidateBinary (DecisionNode< ISimulatedGameAction > &decisionTreeNodeRoot)
	Tests a decision tree (represented by the root node) against a dataset. Returns the accuracy of decision predictions vs. decisions that are in the dataset. More...
bool	MoveFromOther (Dataset &sourceDataset)
	Moves samples from another dataset to the dataset this function was called on. It performs a basic check whether ConsiderationTypes are compatible between the two dataset. Warning: If succeeded, this will erase the sourceDataset. More...
bool	CopyFromOther (Dataset &sourceDataset)
	Adds samples from another dataset to the dataset this function was called on. It performs a basic check whether ConsiderationTypes are compatible between the two dataset. More...

Public Attributes
std::vector< std::unique_ptr< DatasetSample > >	Samples
	Data stored in Dataset. More...

Friends
class	C45Algorithm

Constructor & Destructor Documentation

Dataset() [1/2]

grail::simulation::Dataset::Dataset

(

std::initializer_list< DTConsiderationType >

considerationTypes

)

Creates a new dataset.

Parameters

considerationTypes

Data type {NUMERIC, NOMINAL} for the respective columns in the dataset.

Dataset() [2/2]

grail::simulation::Dataset::Dataset

(

std::vector< DTConsiderationType >

considerationTypes

)

Creates a new dataset.

Parameters

considerationTypes

Data type {NUMERIC, NOMINAL} for the respective columns in the dataset.

Member Function Documentation

CopyFromOther()

bool grail::simulation::Dataset::CopyFromOther

(

Dataset &

sourceDataset

)

Adds samples from another dataset to the dataset this function was called on. It performs a basic check whether ConsiderationTypes are compatible between the two dataset.

Parameters

sourceDataset

The dataset to copy samples from.

Returns

TRUE: if samples been succesfully added. FALSE: when ConsiderationTypes are incompatible and therefore the data have not been added.

DecisionVariablesCount()

size_t grail::simulation::Dataset::DecisionVariablesCount

(

)

const

Gets the number of measures (also know as considerations / decisions / columns in dataset).

GetConsiderationType()

const DTConsiderationType grail::simulation::Dataset::GetConsiderationType

(

int

columnIndex

)

const

Returns the type of the i-th consideration; i = columnIndex.

GetConsiderationTypes()

const std::vector< DTConsiderationType > & grail::simulation::Dataset::GetConsiderationTypes

(

)

const

Gets types of the respective consideration, in order of appearance. The types are either NUMERIC or NOMINAL.

MoveFromOther()

bool grail::simulation::Dataset::MoveFromOther

(

Dataset &

sourceDataset

)

Moves samples from another dataset to the dataset this function was called on. It performs a basic check whether ConsiderationTypes are compatible between the two dataset. Warning: If succeeded, this will erase the sourceDataset.

Parameters

sourceDataset

The dataset to move samples from.

Returns

TRUE: if samples been succesfully moved. FALSE: when ConsiderationTypes are incompatible and therefore the data have not been moved.

ValidateBinary()

double grail::simulation::Dataset::ValidateBinary

(

DecisionNode< ISimulatedGameAction > &

decisionTreeNodeRoot

)

Tests a decision tree (represented by the root node) against a dataset. Returns the accuracy of decision predictions vs. decisions that are in the dataset.

Returns

Prediction accuracy.

Member Data Documentation

Samples

std::vector<std::unique_ptr<DatasetSample> > grail::simulation::Dataset::Samples

Data stored in Dataset.

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

• GrailSimulatedGames/Learning/Dataset.hh
• GrailSimulatedGames/Learning/Dataset.cpp