sourcecode/scoring/reputation_matrix_factorization/diligence_model.py [135:145]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    }
  )
  raterStats = pd.DataFrame(
    {
      c.raterParticipantIdKey: dataset.raters,
      c.lowDiligenceRaterInterceptKey: model.raterBias.weight.cpu().flatten().detach().numpy(),
      c.lowDiligenceRaterReputationKey: model.raterReputation.weight.cpu()
      .flatten()
      .detach()
      .numpy(),
      c.lowDiligenceRaterFactor1Key: model.raterEmbedding.weight.cpu().flatten().detach().numpy(),
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



sourcecode/scoring/reputation_matrix_factorization/diligence_model.py [186:196]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    }
  )
  raterStats = pd.DataFrame(
    {
      c.raterParticipantIdKey: dataset.raters,
      c.lowDiligenceRaterInterceptKey: model.raterBias.weight.cpu().flatten().detach().numpy(),
      c.lowDiligenceRaterReputationKey: model.raterReputation.weight.cpu()
      .flatten()
      .detach()
      .numpy(),
      c.lowDiligenceRaterFactor1Key: model.raterEmbedding.weight.cpu().flatten().detach().numpy(),
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



