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学習モデル（仮）を作る
いきなりデータ集めからだと後続の実装とかやりにくいので決め打ちデータで一旦モデルを作ってみる
ラベル付け
皆で手分けして料理の教師ラベルというか特徴をつける
サーバー実装
条件に従って決定木の結果を返す鯖を作る
- python
- flask
- docker
- heroku?
学習
手分けしてつけた特徴から料理名を当てる決定木を学習させる
データを集める
学習データとして一般的な料理x2択で答えるための特徴量を集める
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