tabular-trees 0.2.0

Package for making analysis on tree-based models easier

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 can be exported to TabularTrees objects for further analysis.

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

See the documentation for more information.

Install

The easiest way to get tabular-trees is to install 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.

[lightgbm, sklearn, xgboost] are optional depedencies that can be specified for tabular-trees. They can be installed along with tabular-trees as follows:

pip install tabular_trees[lightgbm, sklearn]

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.