8000 Release v1.2.5 · fabsig/GPBoost · GitHub
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@fabsig fabsig released this 06 Oct 06:05
· 461 commits to master since this release
v1.2.5
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’
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