grail::simgames::learn::C45Algorithm Class Reference

This class encapsulates the C4.5 Algorithm used to generate a decision tree (see Grail.Simulation.DecisionTree) based on the dataset provided. More...

#include <C45Algorithm.h>

Public Member Functions
std::unique_ptr< dt::DecisionNode< ISimulatedGameAction > >	ConstructTree (Dataset &dataset, int maxDepth=dt::decisionTreeMaxDepth)
	Constructs a new decision tree based on the provided dataset. The decision type is given by generic argument TDecisionType. More...
const std::unordered_set< int > &	GetUsedColumns () const
	Gets indices of columns in the dataset used for learning with the C4.5 Algorithm that were actually used when creating the decision tree. More...

Detailed Description

This class encapsulates the C4.5 Algorithm used to generate a decision tree (see Grail.Simulation.DecisionTree) based on the dataset provided.

Template Parameters

TDecisionType

Member Function Documentation

ConstructTree()

std::unique_ptr< dt::DecisionNode< ISimulatedGameAction > > grail::simgames::learn::C45Algorithm::ConstructTree	(	Dataset &	dataset,
		int	maxDepth = dt::decisionTreeMaxDepth
	)

Constructs a new decision tree based on the provided dataset. The decision type is given by generic argument TDecisionType.

Parameters

dataset	A dataset that contains training data for the decision tree
maxDepth	Optionally, you may limit the depth of the decision tree to @maxDepth most important levels

Returns

GetUsedColumns()

const std::unordered_set< int > & grail::simgames::learn::C45Algorithm::GetUsedColumns

(

)

const

Gets indices of columns in the dataset used for learning with the C4.5 Algorithm that were actually used when creating the decision tree.

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

• GrailSimulatedGames/OfflineLearning/C45Algorithm.h
• GrailSimulatedGames/OfflineLearning/C45Algorithm.cpp