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In statistics and, in particular, in the fitting of linear or logistic regression models, the elastic net is a regularized regression method that linearly combines the L1 and L2 penalties of the lasso and ridge methods.

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  • In statistics and, in particular, in the fitting of linear or logistic regression models, the elastic net is a regularized regression method that linearly combines the L1 and L2 penalties of the lasso and ridge methods. (en)
  • エラスティックネット(英語: Elastic net)は、ラッソ回帰とリッジ回帰の L1正則化と L2正則化をパラメータを用いてバランスよく線形結合で組み合わせた正則化回帰手法である。統計学での線形回帰やロジスティック回帰モデルの最適化に用いられる。 (ja)
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  • In statistics and, in particular, in the fitting of linear or logistic regression models, the elastic net is a regularized regression method that linearly combines the L1 and L2 penalties of the lasso and ridge methods. (en)
  • エラスティックネット(英語: Elastic net)は、ラッソ回帰とリッジ回帰の L1正則化と L2正則化をパラメータを用いてバランスよく線形結合で組み合わせた正則化回帰手法である。統計学での線形回帰やロジスティック回帰モデルの最適化に用いられる。 (ja)
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  • Elastic net regularization (en)
  • エラスティックネット (ja)
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