We need to add enough tests to allow future developement of the library to mantain the same results consistency.
We should add tests from the publication data so we now those result are mantained as a minimal robustness test across versions
[ ] Make tests for all possible types of inputs (X as np.ndarray, torch.Tensor, List[np.ndarray], List[torch.Tensor]) for precomputed or not input data X and the rest of the parameters.
[ ] Test Greedy and Simulated Annealing
[ ] Gaussian copula
[x] Con más de un dataset
[ ] Create test using the Data published in the paper
We need to add enough tests to allow future developement of the library to mantain the same results consistency. We should add tests from the publication data so we now those result are mantained as a minimal robustness test across versions