class_docstr: The interface of a mixin class.
docstr: Evaluate the model given input `X`.
  
  Feed 2d `numpy.ndarray` through model and receive output as
  2d `numpy.ndarray`.
docstr_tok: ["Evaluate","the","model","given","input","`","X","`",".","Feed","2d","`","numpy.ndarray","`","through","model","and","receive","output","as","2d","`","numpy.ndarray","`","."]
code: def evaluate(self, X: ndarray) -> ndarray:
      """
      Evaluate the model given input `X`.
  
      Feed 2d `numpy.ndarray` through model and receive output as
      2d `numpy.ndarray`.
      """
      raise NotImplementedError(_NOT_IMPLEMENTED)
  
file_path: fairlearn/fairlearn/adversarial/_backend_engine.py
imports: from ._constants import _KWARG_ERROR_MESSAGE, _NOT_IMPLEMENTED, _DIST_TYPE_NOT_IMPLEMENTED, _NO_LOSS, _LIST_MODEL_UNSUPPORTED
  from sklearn.utils import shuffle
  from numpy import ndarray
label_desc: Use image node_id 6 for calling the BackendEngine obj's underlying member method code with example usage: obj.evaluate(X) without return types