``loss``: Loss and regularisation
=================================

.. automodule:: hypercoil.loss

.. toctree::
   :maxdepth: 4

   api/hypercoil.loss.Loss
   api/hypercoil.loss.ParameterisedLoss
   api/hypercoil.loss.MSELoss
   api/hypercoil.loss.NormedLoss
   api/hypercoil.loss.identity
   api/hypercoil.loss.zero
   api/hypercoil.loss.difference
   api/hypercoil.loss.constraint_violation
   api/hypercoil.loss.unilateral_loss
   api/hypercoil.loss.hinge_loss
   api/hypercoil.loss.smoothness
   api/hypercoil.loss.bimodal_symmetric
   api/hypercoil.loss.det_gram
   api/hypercoil.loss.log_det_gram
   api/hypercoil.loss.entropy
   api/hypercoil.loss.entropy_logit
   api/hypercoil.loss.kl_divergence
   api/hypercoil.loss.kl_divergence_logit
   api/hypercoil.loss.js_divergence
   api/hypercoil.loss.js_divergence_logit
   api/hypercoil.loss.bregman_divergence
   api/hypercoil.loss.bregman_divergence_logit
   api/hypercoil.loss.equilibrium
   api/hypercoil.loss.equilibrium_logit
   api/hypercoil.loss.second_moment
   api/hypercoil.loss.second_moment_centred
   api/hypercoil.loss.auto_tol
   api/hypercoil.loss.batch_corr
   api/hypercoil.loss.qcfc
   api/hypercoil.loss.reference_tether
   api/hypercoil.loss.interhemispheric_tether
   api/hypercoil.loss.compactness
   api/hypercoil.loss.dispersion
   api/hypercoil.loss.multivariate_kurtosis
   api/hypercoil.loss.connectopy
   api/hypercoil.loss.modularity
   api/hypercoil.loss.scalarise.sum_scalarise
   api/hypercoil.loss.scalarise.mean_scalarise
   api/hypercoil.loss.scalarise.meansq_scalarise
   api/hypercoil.loss.scalarise.max_scalarise
   api/hypercoil.loss.scalarise.norm_scalarise
   api/hypercoil.loss.scalarise.vnorm_scalarise
   api/hypercoil.loss.scalarise.wmean_scalarise
   api/hypercoil.loss.scalarise.selfwmean_scalarise
   api/hypercoil.loss.scheme.LossApply
   api/hypercoil.loss.scheme.LossScheme