Grail.SimulatedGames.OfflineLearning.Dataset< TDecisionType > Class Template Reference

Container for data in form of [consideration_values][decision], where consideration values are [float, float,...,float] and decision is TDecisionType. USe it for training the decision tree. More...

Public Member Functions
	Dataset (params DecisionConsiderationType[] considerationTypes)
	Creates a new dataset. More...
bool	MoveFromOther (Dataset< TDecisionType > 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 (in Dataset< TDecisionType > 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...
double	ValidateBinary (DecisionNode< TDecisionType > rootNode)
	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...
void	WriteToFile (IDecisionStringSerializer< TDecisionType > decisionSerializer, StreamWriter writer)
	Use this method to serialize content of the Dataset to the file. More...
void	ReadFromFile (IDecisionStringSerializer< TDecisionType > decisionSerializer, StreamReader reader)
	Use this method to read the Dataset content from a file. More...

Public Attributes
int	DecisionVariablesCount => ConsiderationTypes.Length
	The number of measures (also know as considerations / decisions / columns in dataset). More...

Properties
DecisionConsiderationType []	ConsiderationTypes [get]
	Gets types of the respective consideration, in order of appearance. The types are either NUMERIC or NOMINAL. More...
List< DatasetSample< TDecisionType > >	Samples [get]
	Data stored in Dataset. More...
DatasetSample< TDecisionType >	this[int index] [get]

Detailed Description

Container for data in form of [consideration_values][decision], where consideration values are [float, float,...,float] and decision is TDecisionType. USe it for training the decision tree.

Template Parameters

TDecisionType

Constructor & Destructor Documentation

Dataset()

Grail.SimulatedGames.OfflineLearning.Dataset< TDecisionType >.Dataset ( params DecisionConsiderationType []  considerationTypes )

inline

Creates a new dataset.

Parameters

considerationTypes

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

Member Function Documentation

CopyFromOther()

bool Grail.SimulatedGames.OfflineLearning.Dataset< TDecisionType >.CopyFromOther ( in Dataset< TDecisionType >  sourceDataset )

inline

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.

MoveFromOther()

bool Grail.SimulatedGames.OfflineLearning.Dataset< TDecisionType >.MoveFromOther ( Dataset< TDecisionType >  sourceDataset )

inline

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.

ReadFromFile()

void Grail.SimulatedGames.OfflineLearning.Dataset< TDecisionType >.ReadFromFile ( IDecisionStringSerializer< TDecisionType >  decisionSerializer, StreamReader  reader  )

inline

Use this method to read the Dataset content from a file.

Parameters

decisionSerializer	Provide instance of a class responsible for serialization of the decision type to string. The decision is in each dataset sample.
reader	A standard .NET StreamReader object

ValidateBinary()

double Grail.SimulatedGames.OfflineLearning.Dataset< TDecisionType >.ValidateBinary ( DecisionNode< TDecisionType >  rootNode )

inline

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.

WriteToFile()

void Grail.SimulatedGames.OfflineLearning.Dataset< TDecisionType >.WriteToFile ( IDecisionStringSerializer< TDecisionType >  decisionSerializer, StreamWriter  writer  )

inline

Use this method to serialize content of the Dataset to the file.

Parameters

decisionSerializer	Provide instance of a class responsible for serialization of the decision type to string. The decision is in each dataset sample.
writer	A standard .NET StreamWriter object

Member Data Documentation

DecisionVariablesCount

int Grail.SimulatedGames.OfflineLearning.Dataset< TDecisionType >.DecisionVariablesCount => ConsiderationTypes.Length

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

Property Documentation

ConsiderationTypes

DecisionConsiderationType [] Grail.SimulatedGames.OfflineLearning.Dataset< TDecisionType >.ConsiderationTypes

get

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

Samples

List<DatasetSample<TDecisionType> > Grail.SimulatedGames.OfflineLearning.Dataset< TDecisionType >.Samples

get

Data stored in Dataset.

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

• GrailSimulatedGames/source/OfflineLearning/Dataset.cs