ibug · PyPI

Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees

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Project description

IBUG: Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees

ibug is a simple wrapper that extends any gradient-boosted regression trees (GBRT) model into a probabilistic estimator, and is compatible with all major GBRT frameworks including LightGBM, XGBoost, CatBoost, and SKLearn.

Install

pip install ibug

Experiment

Download a Dataset

Follow the instructions in the readme for a dataset in data/.

Quantify Prediction Uncertainy with LightGBM + IBUG

python3 scripts/experiments/train.py --tree_type lgb
python3 scripts/experiments/predict.py --tree_type lgb

License

Apache License 2.0.

Project details

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Project links

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Release history Release notifications | RSS feed

0.0.9

Jan 31, 2023

0.0.7

Nov 8, 2022

0.0.6

Nov 8, 2022

0.0.5

Mar 18, 2022

0.0.4

Mar 13, 2022

This version

0.0.3

Mar 13, 2022

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Hashes for ibug-0.0.3-cp310-cp310-win_amd64.whl

Hashes for ibug-0.0.3-cp310-cp310-win_amd64.whl
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Hashes for ibug-0.0.3-cp310-cp310-win32.whl

Hashes for ibug-0.0.3-cp310-cp310-win32.whl
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Hashes for ibug-0.0.3-cp310-cp310-musllinux_1_1_x86_64.whl
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Hashes for ibug-0.0.3-cp310-cp310-musllinux_1_1_i686.whl
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Hashes for ibug-0.0.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for ibug-0.0.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
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Hashes for ibug-0.0.3-cp39-cp39-win_amd64.whl

Hashes for ibug-0.0.3-cp39-cp39-win_amd64.whl
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Hashes for ibug-0.0.3-cp39-cp39-win32.whl

Hashes for ibug-0.0.3-cp39-cp39-win32.whl
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Hashes for ibug-0.0.3-cp39-cp39-musllinux_1_1_x86_64.whl
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Hashes for ibug-0.0.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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