Example #1
0
def _get_fixed_prior_model(**tkwargs):
    train_X, train_Y = _get_random_mt_data(**tkwargs)
    sd_prior = GammaPrior(2.0, 0.15)
    sd_prior._event_shape = torch.Size([2])
    model = MultiTaskGP(train_X,
                        train_Y,
                        task_feature=1,
                        prior=LKJCovariancePrior(2, 0.6, sd_prior))
    return model.to(**tkwargs)
Example #2
0
def _get_fixed_noise_and_prior_model(**tkwargs):
    train_X, train_Y = _get_random_mt_data(**tkwargs)
    train_Yvar = torch.full_like(train_Y, 0.05)
    sd_prior = GammaPrior(2.0, 0.15)
    sd_prior._event_shape = torch.Size([2])
    model = FixedNoiseMultiTaskGP(
        train_X,
        train_Y,
        train_Yvar,
        task_feature=1,
        task_covar_prior=LKJCovariancePrior(2, 0.6, sd_prior),
    )
    return model.to(**tkwargs)