Support for gaussian process may be a great addition to this library
e.g. normalizing sparse/irregular time series, uncertainty estimation, etc..
Regression/classification can probably be easily done similarly to the svm/svc module using sklearn, but here is an example of a more sophisticated gp library for inspiration: https://github.com/cornellius-gp/gpytorch
Support for gaussian process may be a great addition to this library
e.g. normalizing sparse/irregular time series, uncertainty estimation, etc..
Regression/classification can probably be easily done similarly to the svm/svc module using sklearn, but here is an example of a more sophisticated gp library for inspiration: https://github.com/cornellius-gp/gpytorch