Hey, I am experimenting with machine learning in haskell. For training a model, I need to input a list of features. A features itself is a set of floating point numbers. So my training data has the type: [Feature] What I am wondering is which type I should use for Feature. As I said, it is a set of floats. But every feature must have exactly the same number of floats. I could use type Feature = [Float] but that would not ensure that every feature has the same number of flaots. I could use tuples type Feature = (Float,Float,Float,Float,Float ...) The number of features varies from application to application. And I do not know how to encode that with tuples. Also the number of features can get very big (in extreme cases up to ~1000, in normal cases ~100). How would you do that? Thanks! Nathan