Ask HN: What machine learning approach to use if you only got positive examples?
Are there some well known Machine Learning algorithms when you only have positive examples? I did some research but most I could find was when you have positive and unlabeled examples.
7 comments
[ 3.2 ms ] story [ 27.0 ms ] threadLet me give an example. If given a list of all cocktails, I have lot of positive examples on what ingredients go well together. Say Gin and Vermouth. So I have big list of positive examples. But is hard to get negative examples.
I want to build a model where given some ingredients the model tells me whether they go well together or not.
You now have variation and can use a variety of predictive approaches