richardangell / tabular-trees

Python package that makes analysis of tree based models easier.

Home Page:http://tabular-trees.readthedocs.io/

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tabular-trees

Introduction

Tabular-trees is a package for making analysis on tree-based models easier.

Tree based models (specifically GBMs) from xgboost, lightgbm or scikit-learn to be exported to TabularTrees objects for further analysis.

The explain and validate modules contain functions that operate on TabularTrees.

Install

The easiest way to get tabular-trees is directly from pypi;

pip install tabular_trees

tabular-trees works with GBMs from xgboost, lightgbm or scikit-learn. These packages must be installed to use the relevant functionality from tabular-trees, they are not installed as dependencies of tabular-trees.

## Documentation

Currently documentation is not published for this package.

Build

tabular-trees uses poetry as the environment management and package build tool. Follow the instructions here to install.

Once installed run

poetry install --with dev

to install the development dependencies. Other dependency groups are; docs, lightgbm, sklearn and xgboost.

About

Python package that makes analysis of tree based models easier.

http://tabular-trees.readthedocs.io/

License:BSD 3-Clause "New" or "Revised" License


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