Data challenge for MVA course kernels methods (WIP)
contains the code files
the code to execute to learn the different classifiers and evaluate their performances
basics function to extract and split the dataset. It also contains all the function necessary to the evaluation of the diffrent methodes
code for the diffrenet kernels spectrum -> check that it can be implemented kernelly substring kernel
code for the diffrenet classifiers