Package ML :: Package DecTree

Package DecTree



Here we're implementing the Decision Tree stuff found in Chapter 3 of Tom Mitchell's Machine Learning Book.

Submodules

ML.DecTree.BuildQuantTree:
ML.DecTree.BuildSigTree:
ML.DecTree.CrossValidate: handles doing cross validation with decision trees This is, perhaps, a little misleading.
ML.DecTree.DecTree: Defines the class _DecTreeNode_, used to represent decision trees...
ML.DecTree.Forest: code for dealing with forests (collections) of decision trees **NOTE** This code should be obsolete now that ML.Composite.Composite is up and running.
ML.DecTree.ID3: ID3 Decision Trees...
ML.DecTree.PruneTree: Contains functionality for doing tree pruning
ML.DecTree.QuantTree: Defines the class _QuantTreeNode_, used to represent decision trees with automatic...
ML.DecTree.SigTree: Defines the class SigTreeNode, used to represent trees that use signatures (bit vectors) to represent data.
ML.DecTree.Tree: Implements a class used to represent N-ary trees
ML.DecTree.TreeUtils: Utilities for working with trees
ML.DecTree.TreeVis: functionality for drawing trees on sping canvases
ML.DecTree.randomforest