class_docstr: Parent class for bias mitigator classes.
  
  # Parameters
  
  requires_grad : `bool`, optional (default=`False`)
      Option to enable gradient calculation.
code: def _proj(
      self, u: torch.Tensor, v: torch.Tensor, normalize: bool = False
  ):
      proj = torch.matmul(u, v.reshape(-1, 1)) * v
      if normalize:
          return proj / torch.dot(v, v)
      return proj
  
imports: import torch
  import numpy
  import scipy
  import sklearn
  from allennlp.common.checks import ConfigurationError
label_desc: Use image node_id 2 for calling the BiasMitigator obj's underlying member method code with example usage: obj._proj(u, v, normalize) and returns: proj, unknown