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SNに特化したモデルを作り、oofを特徴に加える。 このとき、training dataからdetected=1の系列だけを抜き出した後、左右端をランダムに切り落とすaugmentation を加える。観測期間が欠損したデータの識別能力を上げる狙い。
The text was updated successfully, but these errors were encountered:
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SNに特化したモデルを作り、oofを特徴に加える。
このとき、training dataからdetected=1の系列だけを抜き出した後、左右端をランダムに切り落とすaugmentation を加える。観測期間が欠損したデータの識別能力を上げる狙い。
The text was updated successfully, but these errors were encountered: