Core APIs

Detailed Description

These sections should be used as reference for details on the interfaces you can use in your programs. They contain detailed information on all of the APIs that VFML offers.

Files

file AttributeTracker.h

Keep a record of which attributes are active.

file BeliefNet.h

A Belief Net Structure with CPT local models.

file bnlearn-engine.h

Learn the structure of a BeliefNet from data.

file C45interface.h

Calls the C4.5 decision tree learning system and returns the learned tree.

file DecisionTree.h

A Decision Tree Structure.

file Example.h

ADT for training (and testing, etc.) data.

file ExampleGenerator.h

Generate a random (but reproducible) data set.

file ExampleGroupStats.h

Sufficient statistics for Entropy and Gini.

file ExampleSpec.h

Schema for training data.

file REPrune.h

Peforms reduced error pruning on a decision tree.

file vfdt-engine.h

An API which lets your program learn a DecisionTree from a high-speed data stream.

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Files
file	AttributeTracker.h
	Keep a record of which attributes are active.
file	BeliefNet.h
	A Belief Net Structure with CPT local models.
file	bnlearn-engine.h
	Learn the structure of a BeliefNet from data.
file	C45interface.h
	Calls the C4.5 decision tree learning system and returns the learned tree.
file	DecisionTree.h
	A Decision Tree Structure.
file	Example.h
	ADT for training (and testing, etc.) data.
file	ExampleGenerator.h
	Generate a random (but reproducible) data set.
file	ExampleGroupStats.h
	Sufficient statistics for Entropy and Gini.
file	ExampleSpec.h
	Schema for training data.
file	REPrune.h
	Peforms reduced error pruning on a decision tree.
file	vfdt-engine.h
	An API which lets your program learn a DecisionTree from a high-speed data stream.