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fabsig / GPBoost

Combining tree-boosting with Gaussian process and mixed effects models
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Blog posts behind paywall #105

Closed mglowacki100 closed 1 year ago

mglowacki100 commented 1 year ago

Blog posts are hosted on 'towards data science' that gives only 3 free stories per month. Have you considered a notebook versions of articles? I think python and R version could be done separately.

fabsig commented 1 year ago

If you click on the links to the blog posts on the GitHub homepage, the blog posts are freely accessible (these are Medium Friend Links).

mglowacki100 commented 1 year ago

@fabsig Thanks! Yes, indeed. Btw. I've got paywall when clicked this link https://towardsdatascience.com/mixed-effects-machine-learning-for-high-cardinality-categorical-variables-part-i-an-empirical-df0a43dce059 in https://towardsdatascience.com/mixed-effects-machine-learning-for-high-cardinality-categorical-variables-part-ii-gpboost-3bdd9ef74492 as far I see only part II and III are exposed via github.

fabsig commented 1 year ago

Yes, that's correct. I did not put Part I on GitHub since it does not involve any software. Here is the friend link for part I.

mglowacki100 commented 1 year ago

@fabsig Thanks!