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Machine Learning Model Homotopy
- djoldman 2y agoReferences: https://github.com/WinVector/Examples/blob/main/Model_Homotopy/LinRebal.ipynb https://github.com/WinVector/Examples/blob/main/Model_Homoto...
- disgruntledphd2 2y agoYeah the GitHub link is the meat of the article. Funny stuff. I also would have assumed that the estimates wouldn't vary as much, naively.
- orimirs 2y agoIs the title wrong? No mentions of homologies in the link
- disgruntledphd2 2y agoFollow the GitHub link.
- HeatrayEnjoyer 2y agoThe title changed
- bbstats 2y agoThe grammar in this makes it pretty hard to follow
- esafak 2y agoLooks like the start of an interesting article. Needs development.
- yldedly 2y agoDo you still see such dynamics in the coefficients if you have an order of magnitude more data or fewer dimensions? 100 points in 6D is not much even for linear regression, the model might just be too high variance to interpolate monotonically between the two populations.
- jmount 2y agoThe amount of data rapidly factors-out. One cat get the effect even for millions of points in 6d. It is the complexity of the model solution which is going to be degree D-1 polynomials over a shared degree D-1 denominator that drive the effect.
- mnky9800n 2y agoI may be misunderstanding, but wouldn't you see this effect any time you did a k fold cross validation?