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RTMS explanation #213
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Hi, thanks for the kind word. |
Yeah, I tried but without much success. I get stuck at page 6 of that paper, when defining the F function. I am not in a hurry so I can maybe wait for someone who is familiar with it :) |
Hello guys! First of all, really cool library.
I have been working on Surrogates.jl, a Julia package that mostly has the same goal.$F$ , for each i-esim row I should evaluate the i-esim training point x at some splines, right? The number of columns is the degree of the splines? I am bit confused. Could you shed some light?
I am trying to implement from this paper here: "A fast-prediction surrogate model for large datasets" which I believe it's related to this library.
However, I am not understanding how to build the matrix
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