class_docstr: Moment for evaluating the mean loss.
  
  Read more in the :ref:`User Guide <constraints_regression>`.
class_docstr_tok: ["Moment","for","evaluating","the","mean","loss",".","Read","more","in","the",":","ref",":","`","User","Guide","<","constraints_regression",">","`","."]
code: def __init__(self, loss):
      super().__init__(loss, upper_bound=None, no_groups=True)
  
imports: import numpy
  import pandas
  from fairlearn.utils._input_validation import _validate_and_reformat_input
  from .moment import _ALL, _GROUP_ID, _LABEL, _LOSS, _PREDICTION, LossMoment
label_desc: Use image node_id 1 to create a new MeanLoss object from inherited base classes: ConditionalLossMoment with example: obj = MeanLoss(loss)