Package rdkit :: 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

rdkit.ML.DecTree.BuildQuantTree:
rdkit.ML.DecTree.BuildSigTree:
rdkit.ML.DecTree.CrossValidate: handles doing cross validation with decision trees
rdkit.ML.DecTree.DecTree: Defines the class _DecTreeNode_, used to represent decision trees
rdkit.ML.DecTree.Forest: code for dealing with forests (collections) of decision trees
rdkit.ML.DecTree.ID3: ID3 Decision Trees
rdkit.ML.DecTree.PruneTree: Contains functionality for doing tree pruning
rdkit.ML.DecTree.QuantTree: Defines the class _QuantTreeNode_, used to represent decision trees with automatic quantization bounds
rdkit.ML.DecTree.SigTree: Defines the class SigTreeNode, used to represent trees that use signatures (bit vectors) to represent data.
rdkit.ML.DecTree.Tree: Implements a class used to represent N-ary trees
rdkit.ML.DecTree.TreeUtils: Utilities for working with trees
rdkit.ML.DecTree.TreeVis: functionality for drawing trees on sping canvases

Variables

__package__ = None
hash(x)

Imports: Tree, TreeUtils