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catboost / catboost

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Extend Callback Interface

1
ayulockin
ayulockin commented Dec 1, 2021

I am working on creating a WandbCallback for Weights and Biases. I am glad that CatBoost has a callback system in place but it would be great if we can extend the interface.

The current callback only supports after_iteration that takes info. Taking inspiration from XGBoost callback system it would be great if we can have before iteration that takes info, before_training, and `after

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awesome-decision-tree-papers

benedekrozemberczki / awesome-decision-tree-papers

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Star 1.9k

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 Mar 2, 2022
  • Python
mljar-supervised

mljar / mljar-supervised

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Open

r2 metric report values

7
moshe-rl
moshe-rl commented Nov 30, 2021

When using r2 as eval metric for regression task (with 'Explain' mode) the metric values reported in Leaderboard (at README.md file) are multiplied by -1.
For instance, the metric value for some model shown in the Leaderboard is -0.41, while when clicking the model name leads to the detailed results page - and there the value of r2 is 0.41.
I've noticed that when one of R2 metric values in the L

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bug help wanted good first issue
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awesome-gradient-boosting-papers

benedekrozemberczki / awesome-gradient-boosting-papers

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Star 783

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 Mar 2, 2022
  • Python
RemixAutoML

AdrianAntico / RemixAutoML

Star 191

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 automl panel-data multiclass-classification automated-machine-learning anomaly-detection catboost intermittent-demand funnel-data
  • Updated Mar 12, 2022
  • R

sharmapratik88 / AIML-Projects

Star 63

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

nlp data-science machine-learning statistics computer-vision random-forest data-visualization recommendation-system logistic-regression support-vector-machines decision-tree-classifier gradient-boosting-classifier knearest-neighbor-algorithm oversampling supervised-machine-learning unsupervised-machine-learning catboost ensemble-machine-learning machinelearningprojects datascienceproject
  • Updated Aug 23, 2021
  • Jupyter Notebook

KwokHing / YandexCatBoost-Python-Demo

Star 27

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

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