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oegedijk / explainerdashboard

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Contribution: tree visualisation for lightgbm models

oegedijk
oegedijk commented May 5, 2021

Recently dtreeviz has added support for lightgbm models: https://github.com/parrt/dtreeviz/

So it would be cool to add the same tree visualization in explainerdashboard that already exist for RandomForest, ExtraTrees and XGBoost models.

If someone wants to pitch in to help extract individual predictions of decision trees inside lightgbm boosters and then get them in shape to be used by the

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help wanted good first issue

jphall663 / interpretable_machine_learning_with_python

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Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

python data-science machine-learning data-mining h2o gradient-boosting-machine transparency decision-tree fairness lime accountability interpretability interpretable-ai interpretable-ml xai fatml interpretable interpretable-machine-learning iml machine-learning-interpretability
  • Updated Feb 10, 2021
  • Jupyter Notebook
pyss3

sergioburdisso / pyss3

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A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI :octocat:)

nlp machine-learning natural-language-processing text-mining data-mining text-classification machine-learning-algorithms artificial-intelligence document-classification sentence-classification interpretability multilabel-classification explainable-artificial-intelligence interpretable-ml xai interpretable-machine-learning document-categorization early-classification text-labeling ss3-classifier
  • Updated Jun 13, 2021
  • Python

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