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Manage hierarchical concept trees with style

Home Page: https://chenchaozhao.github.io/groot/groot.html

License: MIT License

Python 99.68% Shell 0.32%
tree concept hierarchy classification neural-network machine-learning

groot's Introduction

Groot

test License: MIT PyPI version

Manage hierarchical concept trees with style

Install

pip install i-am-groot

Goals

  • Save the trees in most compact format
  • Be able to load the trees from serialized files
  • List all nodes
  • List nodes on a given depth
  • List all atomic nodes

Example

import groot

tree = groot.Tree.from_yaml(serialized_file)
print(groot.utils.draw_tree(tree, show_level=True))

    0   1   2
    ┼───┼───┼
    a
    ├── a.a
    │   ├── a.a.b ■
    │   └── a.a.a ■
    ├── a.c ■
    └── a.b
        └── a.b.ab
    ├── b.a ■
    └── b.b

Documentation

Full documentation

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