March 2019
Intermediate to advanced
256 pages
4h 57m
French
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CHAPITRE 14 Régressions
La régression est un processus d’apprentissage machine supervisé qui s’apparente à la classification, sauf qu’au lieu de prédire des labels, il s’agit de prédire des valeurs numériques. Dès que vous avez besoin de prédire un nombre, vous adopterez la régression.
La librairie sklearn permet de réaliser la plupart des modèles de classification sous forme de régression. D’ailleurs, l’interface API est la même que pour la classification avec les méthodes .fit, .score et .predict. Cette compatibilité reste vraie pour la prochaine génération de librairies de boosting, dont font partie XGBoost et LightGBM.
Les modèles de régression ressemblent à ceux de classification et leurs hyperparamètres, mais c’est au niveau des métriques ...
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