def sparsedata(X, y):
# k = RBF(length_scale= 1, length_scale_bounds=(1e-6, 1e+1))
k = Matern(length_scale=1, length_scale_bounds=(1e-2, 1e+3), nu=10)
gp = GaussianProcessRegressor(kernel=k, n_restarts_optimizer=12)
gp.fit(X, y)
#tt_processed = tt[:,np.newaxis]
t_sparse = np.arange(0, 48, 6)
t_sparse_processed = t_sparse[:, np.newaxis]
y_ = gp.perdict(t_sparse_processed)
return y_
