Recent submissions

Comment · 1 year ago
Some of my gripes with Yazio:

- It freezes. all. the. time. For an app that I use 10+ times per day that's just not acceptable.

- When I update a shared recipe on my phone, it doesn't update for my wife. The only way to solve this is log out of the app and log back in. When you do this, you realize that not all your settings are saved, so you need to go back and fix those.

- They seem to use some aggressive caching in their UI: For instance, I update the amount of food, swipe back, and still see the old value.

- Can't do anything without an internet connection, not even look at how many calories you have left.

- Newest bug: Shared recipes don't open anymore. Just switches to the recipe screen. When I reported this to them, I got an AI answer on how to create recipes.

There are other funny things: For a few weeks now, you can collect "diamonds" when you track foods. I now have hundreds of these, but can't do anything with them.

Comment · 1 year ago
I want to try that eventually, but I feel like I'm not quite there yet with just going on vibes.
Comment · 3 years ago
Comment · 4 years ago
The concept is a bit confusingly named, but that doesn't make it "bogus".

(Period) life expectancy at birth summarizes the current health status of a population, nothing more, nothing less. It doesn't make a predictions about what happens in 2078.

Comment · 6 years ago
Yes, the target does not need to follow a normal distribution, but the target conditional on the features (which is what the original authors wrote) follows a normal distribution if you make the assumption that the errors are normally distributed. The two statements are equivalent for the standard linear regression model.
Comment · 6 years ago
> it's linear regression on the log-odds

Almost - logistic regression assumes that the function is linear in the log odds, i.e. log(p/(1-p)) = Xb + e. The problem is that you can't compute the log-odds, because you don't know p.

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