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tfdf.py_tree.node.AbstractNode

A decision tree node.

Methods

@abc.abstractmethod
pretty(
    prefix: str, is_pos: Optional[bool], depth: int, max_depth: Optional[int]
) -> str

Returns a recursive readable textual representation of a node.

Args
`prefix`	Prefix printed on the left side. Used to print the surrounding edges.
`is_pos`	True/False if the node is a positive/negative child. None if the node is a root.
`depth`	Depth of the node in the tree. There is no assuption of on the depth of a root.
`max_depth`	Maximum depth for representation. Deeper nodes are skipped.

Returns
A pretty-string representing the node and its children.

scan_structure(
    conditions: tfdf.py_tree.node.ScanStructureAccumulator
)

Extracts the condition values and default evaluations.