LGBM投票并行 2.5 CatBoost CatBoost(Categorical boosting)是俄罗斯搜索公司Yandex于2017年开源的GBDT实现。 CatBoost主要解决了两个问题: 高效的在训练阶段处理类别特征而不需要预处理 解决梯度偏差问题 另外CatBoost相比XGBoost、LightGBM还使用了特殊的对称树结构。 2.5.1 类别特征 常规的处理类别特征的方法是one-hot,Ligh...
斯坦福的ngboost 周志华的深度森林 但是比较慢以及adanet tabnet等等
斯坦福的ngboost周志华的深度森林 但是比较慢以及adanet tabnet等等
More Anmol gupta·1y ago· 1,027 views arrow_drop_up83 Copy & Edit8 more_vert NotebookInputOutputLogsComments (12) comment 12 Comments Abhishek Tiwari Posted7 months ago · Posted on Version 29 of 29 very well explained even I understood it 😁 Thanks for sharing ...
EDAFUNCXGBOOSTLGBMCatBoostRegressorStackingSubmission Competition Notebook Optiver Realized Volatility Prediction Private Score 0.23886 Best Score 0.23886 V1 License This Notebook has been released under the Apache 2.0 open source license. Continue exploring Input1 file arrow_right_alt Output7 files arrow_...
Models code Code comment Discussions school Learn expand_more More auto_awesome_motion View Active Events Kartik Khandelwal·3y ago· 1,569 views NotebookInputOutputLogsComments (43) Competition Notebook Spaceship Titanic Public Score 0.80313
Input Data sample_submission.csv(59.9 kB) get_app chevron_right Unable to show preview Failed to fetch Input (1.24 MB) folder Data Sources arrow_drop_down Spaceship Titanic calendar_view_week sample_submission.csv calendar_view_week test.csv calendar_view_week train.csv...
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