Skip to content
#

gradient-boosting

Star

Here are 343 public repositories matching this topic...

Language: All
Filter by language
All 343 Jupyter Notebook 199 Python 71 R 20 HTML 16 C++ 10 JavaScript 3 Scala 3 Java 2 Julia 2 Rust 2
Sort: Best match
Sort options
Best match Most stars Fewest stars Most forks Fewest forks Recently updated Least recently updated
LightGBM

microsoft / LightGBM

Star
Find more good first issues →

catboost / catboost

Star
Open

[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.

Read more
good first issue
Find more good first issues →
awesome-decision-tree-papers

benedekrozemberczki / awesome-decision-tree-papers

Sponsor Star

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 Feb 11, 2021
  • Python
awesome-fraud-detection-papers

benedekrozemberczki / awesome-fraud-detection-papers

Sponsor Star

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 Apr 3, 2021
  • Python
awesome-gradient-boosting-papers

benedekrozemberczki / awesome-gradient-boosting-papers

Sponsor Star

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 Apr 3, 2021
  • Python

Freemanzxp / GBDT_Simple_Tutorial

Star

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

Star

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 Apr 19, 2021
  • Python

x4nth055 / emotion-recognition-using-speech

Star

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 Jan 20, 2021
  • Python

KwokHing / YandexCatBoost-Python-Demo

Star

Demo on the capability of Yandex CatBoost gradient boosting classifier on a fictitious IBM HR dataset obtained from Kaggle. Data exploration, cleaning, preprocessing and model tuning are performed on the dataset

visualization python seaborn feature-selection data-preprocessing python27 gradient-boosting-classifier gradient-boosting pearson-correlation one-hot-encode catboost variance-analysis yandex-catboost
  • Updated Dec 5, 2019
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the gradient-boosting topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the gradient-boosting topic, visit your repo's landing page and select "manage topics."

Learn more