My significant other ate cucumbers and onion with some ranch. I called it a cucumber onion salad. She says there aren’t enough ingredients to call it a salad, because “it takes multiple ingredients”. I pointed out she had three and asked what the minimum is. She refuses to answer so I ask Lemmy.
Is there anyway to convert a Salad Probability^tm into a Salad Factor score?
Give me weights for the coefficients and I’ll construct a matrix
Here’s some example weights for a salad factor
Lettuce - 10
Spinach - 9
Arugula - 7
Cabbage - 7
Tomato- 6
Carrots- 6
Cucumber - 5
Onion - 4
Olives (black) 4
Anchovies - 1
There are a few missing points in there IMO, like which of your ingredient is cooked, or how are they sliced? Graped carrots rises the score, but cook them and it’s less likely to be a salad. Diced radish? Not in my salad, especially not cooked, but thinly sliced raw radish definitely belongs. And don’t even get me started on tomatoes.
Damn, I’m not sure the two are compatible then. The salad factor score is meant to be super easy so people don’t get overwhelmed by all the possibilities and variations.
What we need is a salad categorizing multilayer neural network
It wouldn’t be hard to train on obvious salads, but what about the non obvious ones? Who do we trust to properly label these as salad or not a salad?
We don’t! That’s the joy of it, just like people do, our algorithm will constantly waffle back and forth and argue with itself over whether these things are salads