v1.2.5

fabsig released this 06 Oct 06:05

· 854 commits to master since this release

fd90f25

support iterative methods for Vecchia-Laplace approximation (non-Gaussian data and gp_approx=”vecchia”)
faster model construction and prediction for compactly supported covariance functions
add metric 'test_neg_log_likelihood'
change handling of 'objective' parameter for GPBoost algorithm: only ‘likelihood’ in ‘GPModel()’ needs to be set
change API for parameters ‘vecchia_pred_type’ and ‘num_neighbors_pred’

Assets 2