November 2019
Intermediate to advanced
320 pages
13h 35m
French
Content preview from Machine Learning avec Scikit-Learn
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8.4 PCA à noyau
217
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Figure 8.10 – Swiss roll réduit en 2D par des kPCA utilisant divers noyaux
8.4.1 Sélectionner un noyau et régler les hyperparamètres
Étant donné que kPCA est un algorithme d’apprentissage non supervisé, il n’y a
pas de mesure de performance évidente pour vous aider à sélectionner le meilleur
noyau et les valeurs des hyperparamètres. Cela dit, la réduction de dimension est
souvent une étape préparatoire à une tâche d’apprentissage supervisée (telle qu’une
classication), c’est pourquoi vous pouvez utiliser une recherche par quadrillage pour
sélectionner le noyau et les ...
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