| _BeliefNet_ | Belief network ADT |
| _BeliefNetNode_ | Belief net node with full CPTs for local models |
| _BITFIELD_ | ADT for compactly representing a bit field |
| _DecisionTree_ | ADT for working with decision trees |
| _Example_ | ADT for working with examples |
| _ExampleGenerator_ | Holds the information needed to reproducibly make a random data set. See ExampleGenerator.h for more detail |
| _ExampleGroupStats_ | Sufficient statistics for Entropy and Gini |
| _ExampleSpec_ | Schema for training data |
| _StatTracker_ | Holds simple summary statistics of a sample |
| _VFDT_ | Holds the information needed to learn decision trees from data streams |
| FloatListPtr | An ADT for a list that holds floats |
| HashTable | A hash table ADT |
| IntListPtr | An ADT for a list that holds void ints |
| VoidListPtr | An ADT for a list that holds void pointers |
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