function vampnet_loss

deeptime.decomposition.deep.vampnet_loss(data: Tensor, data_lagged: Tensor, method='VAMP2', epsilon: float = 1e-06, mode: str = 'trunc')

Loss function that can be used to train VAMPNets. It evaluates as score-\mathrm{score}. The score is implemented in score().