#include <rl_common/Random.h>
#include <rl_common/core.hh>
#include <vector>
#include <set>
#include <map>
Go to the source code of this file.
Classes | |
class | C45Tree |
struct | C45Tree::tree_experience |
struct | C45Tree::tree_node |
Defines | |
#define | BUILD_EVERY 0 |
#define | BUILD_EVERY_N 2 |
#define | BUILD_ON_ERROR 1 |
#define | BUILD_ON_TERMINAL 3 |
#define | BUILD_ON_TERMINAL_AND_ERROR 4 |
#define | N_C45_EXP 200000 |
#define | N_C45_NODES 2500 |
Defines the C4.5 decision tree class. This is an implementation of C4.5 decision trees described in: J. R. Quinlan, "Induction of decision trees," Machine Learning, vol 1. pp 81-106, 1986.
Definition in file C45Tree.hh.
#define BUILD_EVERY 0 |
Definition at line 21 of file C45Tree.hh.
#define BUILD_EVERY_N 2 |
Definition at line 23 of file C45Tree.hh.
#define BUILD_ON_ERROR 1 |
Definition at line 22 of file C45Tree.hh.
#define BUILD_ON_TERMINAL 3 |
Definition at line 24 of file C45Tree.hh.
#define BUILD_ON_TERMINAL_AND_ERROR 4 |
Definition at line 25 of file C45Tree.hh.
#define N_C45_EXP 200000 |
Definition at line 18 of file C45Tree.hh.
#define N_C45_NODES 2500 |
Definition at line 19 of file C45Tree.hh.