We could just replace all the labels with random strings, and the model would have the same content
I think this is usually incorrect. The variables come with labels because the data comes with labels, and this is true even in deep learning. Stripping the labels changes the model content: with labels, it’s a model of a known data generating process, and without the labels it’s a model of an unknown data generating process.
Even with labels, I will grant that many joint probability distributions are extremely hard to understand.
I think this is usually incorrect. The variables come with labels because the data comes with labels, and this is true even in deep learning. Stripping the labels changes the model content: with labels, it’s a model of a known data generating process, and without the labels it’s a model of an unknown data generating process.
Even with labels, I will grant that many joint probability distributions are extremely hard to understand.