botorch/models/transforms/outcome.py [472:483]:
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        outputs = normalize_indices(self._outputs, d=Y.size(-1))
        if outputs is not None:
            Y_utf = torch.stack(
                [
                    Y_utf[..., i] if i in outputs else Y[..., i]
                    for i in range(Y.size(-1))
                ],
                dim=-1,
            )
        if Yvar is not None:
            # TODO: Delta method, possibly issue warning
            raise NotImplementedError(
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botorch/models/transforms/outcome.py [601:612]:
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        outputs = normalize_indices(self._outputs, d=Y.size(-1))
        if outputs is not None:
            Y_utf = torch.stack(
                [
                    Y_utf[..., i] if i in outputs else Y[..., i]
                    for i in range(Y.size(-1))
                ],
                dim=-1,
            )
        if Yvar is not None:
            # TODO: Delta method, possibly issue warning
            raise NotImplementedError(
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