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LightGBM

microsoft / LightGBM

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[ci] warnings from mypy

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jameslamb
jameslamb commented Jan 27, 2021

Summary

mypy shows some issues in LightGBM's Python package.

mypy --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/lightgbm/compat.py:17: error: Name 'DataFrame' already defined (possibly by a
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catboost / catboost

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[FEATURE] specify number of trees for shap

1
pseudotensor
pseudotensor commented Jan 12, 2021

Problem: the approximate method can still be slow for many trees
catboost version: master
Operating System: ubuntu 18.04
CPU: i9
GPU: RTX2080

Would be good to be able to specify how many trees to use for shapley. The model.predict and prediction_type versions allow this. lgbm/xgb allow this.

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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-fraud-detection-papers

benedekrozemberczki / awesome-fraud-detection-papers

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A curated list of data mining papers about fraud detection.

classifier data-science data-mining deep-learning random-forest credit-card-fraud classification fraud-management logistic-regression fraud-prevention credit-scoring churn link-prediction fraud-detection gradient-boosting fraud-checker graph-classification credit-card-validation credit-card-fraud-detection fraud-explorer
  • 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

Freemanzxp / GBDT_Simple_Tutorial

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python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision

machine-learning gbdt gradient-boosting gradient-boosting-decision-trees gnm
  • Updated Jun 15, 2019
  • Python

serengil / chefboost

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A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting (GBDT, GBRT, GBM), Random Forest and Adaboost w/categorical features support for Python

python data-science machine-learning data-mining random-forest kaggle id3 gbdt gbm gbrt gradient-boosting-machine cart adaboost decision-trees gradient-boosting c45-trees categorical-features gradient-boosting-machines regression-tree
  • Updated Jun 29, 2021
  • Python

x4nth055 / emotion-recognition-using-speech

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Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

machine-learning deep-learning sklearn keras recurrent-neural-networks feature-extraction neural-networks support-vector-machine mfcc librosa emotion-detection gradient-boosting emotion-recognition kneighborsclassifier random-forest-classifier mlp-classifier speech-emotion-recognition emotion-recognizer
  • Updated May 21, 2021
  • Python

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