November 2019
Intermediate to advanced
320 pages
13h 35m
French
Content preview from Machine Learning avec Scikit-Learn
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122
Chapitre 4. Entraînement de modèles
Là encore, vous obtenez une solution assez proche de celle donnée par l’équation
normale:
>>> sgd_reg.intercept_, sgd_reg.coef_
(array([4.24365286]), array([2.8250878]))
4.2.3 Descente de gradient par mini-lots
Le dernier algorithme de descente de gradient que nous allons étudier s’appelle descente
de gradient par mini-lots (en anglais, mini-batch gradient descent). Il se comprend aisé-
ment, une fois que vous connaissez les deux autres méthodes de descente de gradient,
ordinaire et stochastique: à chaque étape, au lieu de calculer les dérivées partielles sur
l’ensemble du jeu d’entraînement (DG ordinaire) ...
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