- 02/25/12 22:41:40 (22 months ago)
- 1 edited
r10208 r10371 1689 1689 A classification or regression tree learner. If a set of instances 1690 1690 is given on initialization, a :class:`TreeClassifier` is built and 1691 returned instead. All attributes can also be set on initialization. 1691 returned instead. 1692 1693 The learning algorithm has a large number of parameters. The class 1694 provides reasonable defaults; they can be modified either as attributes 1695 or as arguments given to the constructor. 1696 1697 The algorithm is very flexible, yet slower than the other two 1698 implementations that are more suitable for large scale 1699 experiments. 1692 1700 1693 1701 **The tree induction process**
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