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개인용

정형 데이터 참고

https://www.intelligencelabs.tech/3ac72939-db45-4804-9b9d-3ec2c08ef504#2f155188109340e68597d92655e4d6e8

 

정형 데이터를 위한 딥러닝: TabNet

Table of contents

www.intelligencelabs.tech

https://housekdk.gitbook.io/ml/ml/tabular/tabnet-overview

 

TabNet Overview - noviceforever

좀 더 자세히 기술하자면, Feature transformer 블록에서 임베딩(embedding)을 수행하고, Attentive transformer 블록에서 trainable Mask를 생성합니다. 이 Mask는 3가지 용도로 활용됩니다. 1) Feature Importance를 계산,

housekdk.gitbook.io

https://www.kaggle.com/c/lish-moa/discussion/201510

 

Mechanisms of Action (MoA) Prediction | Kaggle

 

www.kaggle.com

https://github.com/guitarmind/kaggle_moa_winner_hungry_for_gold/tree/main/models

 

GitHub - guitarmind/kaggle_moa_winner_hungry_for_gold: Winning Solution of Kaggle Mechanisms of Action (MoA) Prediction.

Winning Solution of Kaggle Mechanisms of Action (MoA) Prediction. - GitHub - guitarmind/kaggle_moa_winner_hungry_for_gold: Winning Solution of Kaggle Mechanisms of Action (MoA) Prediction.

github.com

https://www.kaggle.com/code/marcusgawronsky/tabnet-in-tensorflow-2-0

 

TabNet in Tensorflow 2.0

Explore and run machine learning code with Kaggle Notebooks | Using data from [Private Datasource]

www.kaggle.com

https://dacon.io/en/competitions/official/235902/codeshare/6207?page&dtype&ptype&fType 

 

[MLVC, Private 78위, 점수 0.807] LGBM + ET+XGB+RF

SW중심대학 공동 AI 경진대회 ❮예선❯

dacon.io

 

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