rdkit.ML.DecTree.QuantTree module¶
Defines the class _QuantTreeNode_, used to represent decision trees with automatic quantization bounds
_QuantTreeNode_ is derived from _DecTree.DecTreeNode_
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class
rdkit.ML.DecTree.QuantTree.QuantTreeNode(*args, **kwargs)¶ Bases:
rdkit.ML.DecTree.DecTree.DecTreeNode-
ClassifyExample(example, appendExamples=0)¶ Recursively classify an example by running it through the tree
Arguments
- example: the example to be classified
- appendExamples: if this is nonzero then this node (and all children) will store the example
Returns
the classification of _example_- NOTE:
- In the interest of speed, I don’t use accessor functions here. So if you subclass DecTreeNode for your own trees, you’ll have to either include ClassifyExample or avoid changing the names of the instance variables this needs.
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GetQuantBounds()¶
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SetQuantBounds(qBounds)¶
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