November 2019
Intermediate to advanced
320 pages
13h 35m
French
Content preview from Machine Learning avec Scikit-Learn
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4.2 Descente de gradient
113
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L’équation normale et l’approche SVD deviennent toutes deux très
lentes lorsque le nombre de caractéristiques devient grand (p. ex.
100 000). En revanche, les deux sont linéaires vis-à-vis du nombre d’ob-
servations dans le jeu d’entraînement (algorithmes en O(m)), donc elles
peuvent bien gérer un gros volume de données, à condition qu’il tienne
en mémoire.
Par ailleurs, une fois votre modèle de régression linéaire entraîné (en utilisant
l’équation normale ou n’importe quel autre algorithme), obtenir une prédiction
est extrêmement rapide: la complexité de l’algorithme ...
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