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Re:Baking with machine learning (2020) by birdsbirdsbirds on Saturday January 30, 2021 @06:04AM (#25968120)
Doesn't this all break down once you use eggs? Absolute weights don't help much if you have to add one egg yolk since they don't have a fixed weight.

For cakes, all other ingredients should be measured in multiples of the used egg parts.

Re:Baking with machine learning (2020) by kranner on Saturday January 30, 2021 @06:51AM (#25968351)
The same cookbook recommends weighing eggs as well; recipes specify egg whites/yolks/whole by weight (all ingredients are specified by both weight and volume, though weight is recommended).

"""

Likewise, eggs vary slightly in weight from one to another; measuring eggs by weight ensures great accuracy. “Large” eggs are 56 grams/2 ounces by definition, but they vary in weight by 10 or more grams, so calling for eggs by weight, as we do in these recipes, guarantees more consistent results. And weighing allows you to use any size egg you have access to, which is especially helpful if you use farm-raised eggs, which are often not graded by size.

"""

Re:Baking with machine learning (2020) by Wowfunhappy on Saturday January 30, 2021 @08:49AM (#25969036)
It does seem like a lot more work though with eggs.
Re:Baking with machine learning (2020) by issamehh on Saturday January 30, 2021 @07:32PM (#25974501)
You could either just use the egg as it's likely close or adjust the rest of your ingredients from the weight of the egg. I made a calculator for some of my recipes that lets you put in how much of a specific ingredient you've got and tells you the adjusted amounts for the rest. With that it'd be fairly easy
Re:Baking with machine learning (2020) by maxwell on Saturday January 30, 2021 @10:40AM (#25969918)
Professional bakers use cartons of yolks and whites instead of cracking eggs.