EIX-package: EIX package
In EIX: Explain Interactions in 'XGBoost'
Description
Structure mining from 'XGBoost' and 'LightGBM' models.
Key functionalities of this package cover: visualisation of tree-based ensembles models,
identification of interactions, measuring of variable importance,
measuring of interaction importance, explanation of single prediction
with break down plots (based on 'xgboostExplainer' and 'iBreakDown' packages).
To download the 'LightGBM' use the following link: <https://github.com/Microsoft/LightGBM>.
EIX' is a part of the 'DrWhy.AI' universe.
EIX documentation built on March 23, 2021, 9:06 a.m.
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Description
Structure mining from 'XGBoost' and 'LightGBM' models. Key functionalities of this package cover: visualisation of tree-based ensembles models, identification of interactions, measuring of variable importance, measuring of interaction importance, explanation of single prediction with break down plots (based on 'xgboostExplainer' and 'iBreakDown' packages). To download the 'LightGBM' use the following link: <https://github.com/Microsoft/LightGBM>. EIX' is a part of the 'DrWhy.AI' universe.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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