Periodic Data with Machine Learning (Like Degree Angles -> 179 is 2 different from -179)

Question

I\'m using Python for kernel density estimations and gaussian mixture models to rank likelihood of samples of multidimensional data. Every piece of data is an angle, and I\'m no

Answer 1

You need to use the mod function. In straight python this would be (ang2-ang1)%360 but with scipy it looks like you can use numpy.mod() - see the documentation.