grail::simgames::learn::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< dt::DTConsiderationType > &	GetConsiderationTypes () const
	Gets types of the respective consideration, in order of appearance. The types are either NUMERIC or NOMINAL. More...
dt::DTConsiderationType	GetConsiderationType (int columnIndex) const
	Returns the type of the i-th consideration; i = columnIndex. More...
	Dataset (std::initializer_list< dt::DTConsiderationType > considerationTypes)
	Creates a new dataset. More...
	Dataset (const std::vector< dt::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, const 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 (dt::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::simgames::learn::Dataset::Dataset

(

std::initializer_list< dt::DTConsiderationType >

considerationTypes

)

Creates a new dataset.

Parameters

considerationTypes

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

Dataset() [2/2]

grail::simgames::learn::Dataset::Dataset

(

const std::vector< dt::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::simgames::learn::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::simgames::learn::Dataset::DecisionVariablesCount

(

)

const

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

GetConsiderationType()

dt::DTConsiderationType grail::simgames::learn::Dataset::GetConsiderationType

(

int

columnIndex

)

const

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

GetConsiderationTypes()

const std::vector< dt::DTConsiderationType > & grail::simgames::learn::Dataset::GetConsiderationTypes

(

)

const

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

MoveFromOther()

bool grail::simgames::learn::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::simgames::learn::Dataset::ValidateBinary

(

dt::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::simgames::learn::Dataset::Samples

Data stored in Dataset.

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

• GrailSimulatedGames/OfflineLearning/Dataset.hh
• GrailSimulatedGames/OfflineLearning/Dataset.cpp