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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