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LightGBM

microsoft / LightGBM

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[ci] warnings from mypy

4
jameslamb
jameslamb commented Jan 27, 2021

Summary

mypy shows some issues in LightGBM's Python package.

mypy \
    --exclude='python-package/compile/|python-package/build' \
    --ignore-missing-imports \
    python-package/
18 errors in 4 files (click me) 
python-package/lightgbm/compat.py:12: error: Name 'Series' already defined (possibly by an import)
python-package
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good first issue help wanted
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mmlspark

Azure / mmlspark

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[LightGBM] Regression: how to penalize negative predictions

3
brunocous
brunocous commented Sep 2, 2020

I have a simple regression task (using a LightGBMRegressor) where I want to penalize negative predictions more than positive ones. Is there a way to achieve this with the default regression LightGBM objectives (see https://lightgbm.readthedocs.io/en/latest/Parameters.html)? If not, is it somehow possible to define (many example for default LightGBM model) and pass a custom regression objective?

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LightGBM enhancement good first issue
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BayesWitnesses / m2cgen

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m2cgen output for xgboost with binary:logistic objective returns raw (not transformed) scores

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ehoppmann
ehoppmann commented Aug 23, 2019

Our xgboost models use the binary:logistic' objective function, however the m2cgen converted version of the models return raw scores instead of the transformed scores.

This is fine as long as the user knows this is happening! I didn't, so it took a while to figure out what was going on. I'm wondering if perhaps a useful warning could be raised for users to alert them of this issue? A warning

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bug good first issue help wanted
awesome-decision-tree-papers

benedekrozemberczki / awesome-decision-tree-papers

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A collection of research papers on decision, classification and regression trees with implementations.

classifier machine-learning random-forest statistical-learning xgboost lightgbm gradient-boosting-machine ensemble-learning cart decision-tree tree-ensemble decision-tree-classifier gradient-boosting classification-trees decision-tree-learning decision-tree-model classification-model catboost regression-tree machine-learning-research
  • Updated Jun 24, 2021
  • Python
awesome-gradient-boosting-papers

benedekrozemberczki / awesome-gradient-boosting-papers

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A curated list of gradient boosting research papers with implementations.

classifier machine-learning deep-learning random-forest h2o xgboost lightgbm gradient-boosting-machine adaboost decision-tree gradient-boosting-classifier classification-algorithm gradient-boosting boosting classification-trees xgboost-algorithm catboost gradient-boosted-trees classification-tree gradient-boosting-decision-trees
  • Updated Jun 22, 2021
  • Python
eland

elastic / eland

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RemixAutoML

AdrianAntico / RemixAutoML

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R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, recommenders, and EDA.

r timeseries h2o regression supervised-learning xgboost classification gpu-acceleration lightgbm recommender-system feature-engineering unsupervised-learning panel-data multiclass-classification automated-machine-learning anomaly-detection catboost intermittent-demand funnel-data
  • Updated Jul 20, 2021
  • R

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