class_docstr: Base class for test functions.
class_docstr_tok: ["Base","class","for","test","functions","."]
docstr: Evaluate the function (w/o observation noise) on a set of points.
docstr_tok: ["Evaluate","the","function","(","w\/o","observation","noise",")","on","a","set","of","points","."]
code: def evaluate_true(self, X: Tensor) -> Tensor:
      r"""Evaluate the function (w/o observation noise) on a set of points."""
      pass
  
imports: from __future__ import annotations
  from abc import ABC, abstractmethod
  from typing import List, Tuple, Union
  import torch
  from botorch.exceptions.errors import InputDataError
  from torch import Tensor
  from torch.nn import Module
label_desc: Use image node_id 3 for calling the BaseTestProblem obj's underlying member method code with example usage: obj.evaluate_true(X) without return types