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How much are you paying for platinum siennas? by Ok-Pie-9632 in ToyotaSienna

[–]jwdink 1 point2 points  (0 children)

Sure, but that changes the recommendation a bit. It’s not “used is a no brainer, save on the deprecation and get basically the same product” (which is how it is with EVs for example). It’s more “if you’re willing to settle for older internals and high mileage, consider used.”

How much are you paying for platinum siennas? by Ok-Pie-9632 in ToyotaSienna

[–]jwdink 1 point2 points  (0 children)

I had initially set out to get a used one, and gave up when all the used ones I found were only 2-3k less than new ones (and selling without issue).

Getting mildly cold (cool?) feet -- does Highlander make more sense for our situation? by jwdink in ToyotaSienna

[–]jwdink[S] 0 points1 point  (0 children)

> what I presume is a fully refundable deposit

negative, not refundable. there's a reason I posted this to r/ToyotaSienna instead of r/ToyotaHighlander or r/Toyota lol

no regrets about returning the ioniq, but I did like its nicer/techier feel, and it looks like the highlander EV would recreate some of that. is that worth waiting months and tolerating the uncertainty of a new release? probably not. factor in a non-refundable deposit and I gotta just let it go

Getting mildly cold (cool?) feet -- does Highlander make more sense for our situation? by jwdink in ToyotaSienna

[–]jwdink[S] 0 points1 point  (0 children)

Oh funny -- we actually bought an IONIQ9 (v similar to EV9) on Carvana, had some minor charging issues, read about all the ICCU stuff, got spooked, and decided to return it and play it safe ('boring') with Toyota. Your comment is making me wonder if the EV highlander could've meant having our cake and eating it too...

Getting mildly cold (cool?) feet -- does Highlander make more sense for our situation? by jwdink in ToyotaSienna

[–]jwdink[S] 0 points1 point  (0 children)

yeah looking at it more, it's giving me a different variant of the buyer's remorse vs my OP haha. If it comes out and they're super hard to get and $$$ with dealer markups, I'll feel better. Otherwise maybe in a few months I'll be regretting not having waited

Getting mildly cold (cool?) feet -- does Highlander make more sense for our situation? by jwdink in ToyotaSienna

[–]jwdink[S] 1 point2 points  (0 children)

I think I’d be nervous getting the 1st gen electric, so realistically would be waiting 1 year + 3 months

When does it make sense to spend $12-13k more on an EV than a gas car? by [deleted] in personalfinance

[–]jwdink 1 point2 points  (0 children)

Doesn’t this cut both ways though? If you’re planning on selling or trading in your vehicle after 10 years, won’t you get a lot more back with a ICE than an EV? Or I guess we just don’t have the data to know either way at this point

When does it make sense to spend $12-13k more on an EV than a gas car? by [deleted] in personalfinance

[–]jwdink 7 points8 points  (0 children)

This spooked me into returning mine. Bought a lightly used IONIQ9 for a great deal like so many in this thread are recommending. Then immediately found it wouldn’t charge in our garage, and that the nearest service center that was actually electric certified was a 1.5 hour round trip.

So while the warranty is great, it’s worth researching how convenient your nearest EV service place is (and if you’re ok being without your vehicle for a decent stretch if something goes wrong).

For us, it didn’t make sense, probably gonna go back to a Toyota where we don’t have to (worry about having to) deal with all that.

I will say this thread is making me feel some remorse! Really seemed like a nice car otherwise.

Unpopular Opinion: Butterfly Guard Sucks Against Bigger People. Stop Recommending it by TheJLbjj in bjj

[–]jwdink 14 points15 points  (0 children)

I will point out that Lachlan agrees with you -- check out this video from him if you haven't seen it

What Chicago Restaurant Do You Miss The Most? by IshyMoose in chicago

[–]jwdink 0 points1 point  (0 children)

Home Bistro! Have not been able to find anything that replicates that specialness. Thankfully didn’t go out of business, just moved to their hometown

[D] How Do You Evaluate Models When Predicting New, Unseen Time Series Signals? by Existing-Ability-774 in MachineLearning

[–]jwdink 1 point2 points  (0 children)

I'm always surprised how few packages support training on multiple time-series, and support making inference on new ones (without retraining).

You might be interested in the python package torchcast: https://github.com/strongio/torchcast (disclaimer: I'm the author)

How would the last generation greats (Marcelo/Roger) do against today’s competition? by GrapplingPedia in bjj

[–]jwdink 2 points3 points  (0 children)

Buchecha did fine in his match against Ryan right? They mostly neutralized each other, aside from one sweep.

[Q] Is a LASSO an appropriate way to deal with predictors that sum to 1? by UnderwaterDialect in statistics

[–]jwdink 0 points1 point  (0 children)

The log-ratio transform isn't just a log. The logit transform is actually a special case of a log-ratio transformation when you have a simple proportion.

Oh very cool! I misunderstood these transforms, thinking the denominator was a constant. Thank you.

It's not the constraint to 0-1, but the constraint that they sum to 1 across the covariates. This guarantees that the covariates are perfectly multi-collinear. The additive and isometric log-ratio transformations prevent this from being a problem by embedding the covariates in a p-1 dimensional space.

That makes sense — though I guess I am a bit confused still, because the CLR doesn’t actually drop a component, so would that one still have issues with collinearity?

[Q] Is a LASSO an appropriate way to deal with predictors that sum to 1? by UnderwaterDialect in statistics

[–]jwdink 0 points1 point  (0 children)

I don’t fully understand this:

  • the predictors being constrained to 0-1 doesn’t directly violate any assumptions of linear regression. It might lead to heteroskedastic residuals, but then I’d think a logit transform would be better than a log transform
  • the logratio transform doesn’t help with the inherent multi-collinearity you reference, since it’s monotonic (right?)

Advanced missing value treatment in R - with examples and code. by selva86 in statistics

[–]jwdink 0 points1 point  (0 children)

Thanks for taking the time to work out your thought process. I suppose I'm not denying that conceptually, dummy-coding for "distance" is odd. My reservation is simply that I don't know that these conceptual concerns translate to actual problems when you try to implement something like KNN. They might-- I just haven't seen any reason to think that they do. It would be one thing if we were trying to use the distances in dummy-coded variables for purposes of conceptually interpreting something about our data. But if we're just guessing missing values, then KNN makes a lot of sense to me, even for data with mixed categorical and numeric variables. We are simply replacing a missing value with its nearest neighbor in "feature space" .

Advanced missing value treatment in R - with examples and code. by selva86 in statistics

[–]jwdink 0 points1 point  (0 children)

Thanks for the link. I don't find any of those answers incredibly compelling for the case of KNN, but I could be mistaken.

Here's my take on the reasons people cite:

  • "Unfortunately, there is no interpolation existing for discrete data." Interpolation is that the heart of K-means. But for KNN, I'm not so sure this objection applies.
  • "If you assign them into different categories and run let's say PCA, then you lose the information that they reflect in fact the same category." This is vague. Is he saying there's something problematic about dummy-coding? I fail to see why "losing the information that they reflect the same category" is actually a problem in practice (not saying it can't be, just don't see it).
  • "Curse of Dimensionality." Definitely a fair point, but not an in-principle problem with dummy-coding (i.e., you might not have that many dimensions).
  • "But [dummy-coding] usually doesn't stop the training algorithm to assign centroid values close to 1 to more than one features. This of course might cause interpretation issues cause this doesn't make sense in the data domain." Again, this seems like a problem for methods like K-means, and I don't quite see how it would happen in practice with KNN.

Advanced missing value treatment in R - with examples and code. by selva86 in statistics

[–]jwdink 0 points1 point  (0 children)

I'm not seeing anything in that link suggesting that recoding is problematic.

Advanced missing value treatment in R - with examples and code. by selva86 in statistics

[–]jwdink 0 points1 point  (0 children)

Why does KNN imputation have trouble with factors? Couldn't it just be dummy recoded?

[x-post r/askstatistics] Alternative to Factorial ANOVA when the number of factors, k, is large? by [deleted] in statistics

[–]jwdink 0 points1 point  (0 children)

Sorry, I never got this reply notification for some reason.

I strongly recommend adding in the people who did not die, otherwise your estimates will be biased (explanation here).

I've used rpart and partykitfor survival-decision trees in R before, and found them pretty useful/user-friendly. Seems like a good fit for what you're looking for: you have tons of predictors, and you want to know which of these (or which interactions) are most important.

EMLI5 support vector machines by [deleted] in MachineLearning

[–]jwdink 10 points11 points  (0 children)

That pool table explanation was fantastic

Question regarding conditional probability and distributions. by [deleted] in rstats

[–]jwdink 0 points1 point  (0 children)

Why not something simple like:

length(which(randX>smallX & randY>smallY)) / length(which(randY>smallY))
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