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tfdf.py_tree.tree.Tree
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A single decision tree.
tfdf.py_tree.tree.Tree(
root: Optional[tfdf.py_tree.node.AbstractNode
],
label_classes: Optional[List[str]] = None
)
Attributes |
label_classes
|
|
root
|
|
Methods
pretty
View source
pretty(
max_depth: Optional[int] = 4
) -> str
Returns a readable textual representation of the tree.
Unlike repr(tree)
, tree.pretty()
format the representation (line return,
margin, hide class names) to improve readability.
This representation can be changed and codes should not try to parse the
output of pretty
. To access programmatically the tree structure, use
root()
.
Args |
max_depth
|
The maximum depth of the nodes to display. Deeper nodes are
skipped and replaced by "...". If not specified, prints the entire tree.
|
Returns |
A pretty-string representing the tree.
|
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2024-04-26 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26 UTC."],[],[]]