Gradient boosting: Revision history


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  • curprev 07:5207:52, 24 September 202183.215.85.211 talk 26,028 bytes +40 Refering to https://scikit-learn.org/stable/modules/ensemble.html#gradient-boosting and https://explained.ai/gradient-boosting/descent.html I think there was a misunderstanding in this example. undo

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  • curprev 04:5504:55, 20 July 20212804:7f7:ee84:b36d:b14f:e000:c5ae:f665 talk 24,799 bytes +21 Original algorithm fits h to pseudo-residuals by minimizing some loss L *,not equal to L, between pseudo-residuals and k.h where k is real valuated scalar , if h is closed under scaling that is if h belongs to H so k.h belongs to H then both Friedman's and wiki's algorithm are the same (see Haihao Lu et al Accelerating Gradient Boosting Machines). undo

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