November 2019
Intermediate to advanced
320 pages
13h 35m
French
Content preview from Machine Learning avec Scikit-Learn
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156
Chapitre 5. Machines à vecteurs de support
La classe SVR est l’équivalent pour la régression de la classe SVC, tandis que la
classe LinearSVR est l’équivalent pour la régression de la classe LinearSVC.
Le temps de calcul de la classe LinearSVR augmente linéairement avec la taille
du jeu d’entraînement (comme avec la classe LinearSVC), tandis que la classe
SVR devient bien trop lente lorsque le jeu d’entraînement devient grand (comme
avec la classe SVC).
Les SVM peuvent aussi être utilisés pour détecter les données aberrantes :
pour plus de détails, consultez la documentation de Scikit-Learn.
5.4 SOUS LE CAPOT
Cette section explique comment ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.