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Machine Learning avec Scikit-Learn
book

Machine Learning avec Scikit-Learn

by Aurélien Géron
November 2019
Intermediate to advanced
320 pages
13h 35m
French
Dunod
Content preview from Machine Learning avec Scikit-Learn
5.2 Classification SVM non linéaire
151
© Dunod – Toute reproduction non autorisée est un délit.
Inversement, s’il sous-ajuste, vous pouvez essayer de l’augmenter. L’hyperparamètre
coef0 contrôle l’inuence relative sur le modèle des polynômes de degré élevé par
rapport aux polynômes de faible degré.
5.2.2 Variables de similarité
Une autre technique de résolution des problèmes non linéaires consiste à ajouter des
variables calculées à l’aide d’une fonction de similarité qui mesure la ressemblance entre
chaque observation et un point de repère (en anglais, landmark) particulier. Prenons
par exemple le jeu de données unidimensionnel présenté précédemment ...
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Publisher Resources

ISBN: 9782100797820