_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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