class_docstr: For backwards compatibility.
class_docstr_tok: ["For","backwards","compatibility","."]
docstr: DEPRECATED.
docstr_tok: ["DEPRECATED","."]
code: def __init__(self, distribution: MultivariateNormal) -> None:
      """DEPRECATED."""
      warn(
          "`FullyBayesianPosterior` is marked for deprecation, consider using "
          "`GaussianMixturePosterior` instead.",
          DeprecationWarning,
      )
      super().__init__(distribution=distribution)
  
file_path: botorch/botorch/posteriors/fully_bayesian.py
imports: from __future__ import annotations
  from typing import Callable, Optional, Tuple
  from warnings import warn
  import torch
  from botorch.posteriors.gpytorch import GPyTorchPosterior
  from gpytorch.distributions import MultivariateNormal
  from torch import Tensor
label_desc: Use image node_id 1 to create a new FullyBayesianPosterior object from inherited base classes: GaussianMixturePosterior with example: obj = FullyBayesianPosterior(distribution)