Classes

• namespace DecisionTree
• namespace std
• struct Bool Wrapper class for bool.
• class DataFrame The DataFrame is a matrix where each row corresponds to a data entry and each column of that row representing a characteristic of that data entry.
• struct DecisionNode DecisionNodes can either be branches or leafs. Branch nodes store data used to instruct the traversal of the decision tree. The data used for traversal are a column index of a DataFrame and a row value. Both of these are used for comparison with new data to go left (true) or right (false). Leaf nodes contain data used for prediction.
• class DecisionTreeBase DecisionTreeBase is a semi-virtual parent class that contains methods used in both DecisionTreeClassifier and DecisionTreeRegressor.
• class DecisionTreeClassifier
• struct Double Wrapper class for double.
• struct Generic Generic is used to capture type string and the following primitives: double, integer, bool. Once captured, it has methods to convert to the appropriate type. Currently only getDouble() and getString() are implemented. Generic is not instantiable and is used for polymorphic behaviors. Only sub-classes can be constructed.
• struct Integer Wrapper class for integer.
• struct String Wrapper class for string.