November 2019
Intermediate to advanced
320 pages
13h 35m
French
Content preview from Machine Learning avec Scikit-Learn
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Chapitre 4. Entraînement de modèles
Notez que si le SGDRegressor est créé avec l’option warm_start=True,
alors sa méthode fit(), lorsqu’elle est appelée, reprend l’entraînement là où il a été
interrompu au lieu de recommencer entièrement.
4.6 RÉGRESSION LOGISTIQUE
Comme nous l’avons expliqué au chapitre 1, certains algorithmes de régression
peuvent être utilisés pour la classication (et inversement). La régression logistique
(appelée également régression logit) est utilisée couramment pour estimer la proba-
bilité qu’une observation appartienne à une classe particulière (p. ex. quelle est la
probabilité que cet e-mail soit un pourriel?). ...
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