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In this article https://www.analyticsvidhya.com/blog/2015/11/quick-introduction-boosting-algorithms-machine-learning/

The author indicates you combine 3 weak models into a final one using gradient boosting, but gave no detail how to combine them. Could someone explain how that's done?

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  • $\begingroup$ No. The article does give you explanation. $\endgroup$ – SmallChess Jul 24 '17 at 6:24
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The author explicitly state the three algorithms which combine weak learners to a more powerfull boosted model; AdaBoost, GradientBoosting and XGBoost with the python codes relevant to each boosting. XGboost is in his next article.

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Apparently, the result is weighted average of the weak learners, where the weight is the same as the learning rate.

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