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Sjoerd Smit
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This definitely looks useful. I do have one bit of feedback: you expose the functions `setDateOrderToDayMonthYear` and `setDateOrderToMonthDayYear` and hide the variable `workingDateOrder` that they influence. That's fine by itself, but in that case...
If you're having trouble reading in Chinese characters, I recommend fiddling about with the character encoding. I had a similar problem once that I solve by first setting: $CharacterEncoding = "UTF8" Give that a try before importing the...
You don't need to write out the definition of the sigmoid yourself. You can just use the built-in function `LogisticSigmoid`. With `FunctionExpand` you can transform it into the `Exp` form if you want: FunctionExpand[l*LogisticSigmoid[k (x -...
I think it depends on how you do your GP regression in this case and what kernel you use. If you make a point estimate for the covariance length scale, I think you end up with constant prediction variance far from your data (since basically none of...
As for your second question: > In addition, to associate x coordinates (given by the data vector Xdata) to each residue vector, I use Timeseries like this res360 = TimeSeries[residu360, {Xdata}] >But isn't there another way of...
I think the function `Complement` will be of use to you.
I know I'm a bit late to this party, but for anyone who still has the same question in 2019: I wrote a repository functions specifically for this: [KullbackLeiblerDivergence on the Wolfram Function Repository][1]. It should work for all sorts of...
Hi Daniel, Yes, that should be not problem at all. `data` should be either an `n` by 3 matrix or a list of rules of the form `{{x11, x21} -> y1, ... }`. From there it should work without issue, though you may need to re-scale the data if your `xi`...
If you include the `a=2` definition in the `Initialization` and set `SaveDefinitions -> True`, it should work, I think. Unfortunately I don't have time right now to give a better explanation than that, but I hope it works. You can always try to make...
I completely agree with this. Personally, I think that something along the lines of Haskell-style lazy lists fits best with WL's paradigms. In the past I did an exercise to try an implement this [from scratch][1], though I'm aware that similar...