doc(neurodiffeq): update keys of the `loss_history` dict
@@ -60,7 +60,7 @@ class Monitor:
:type nets: list[`torch.nn.Module`]
:param conditions: The initial/boundary conditions of the ODE (system).
:type conditions: list[`neurodiffeq.ode.BaseCondition`]
- :param history: The history of training loss and validation loss. The 'train' entry is a list of training loss and 'valid' entry is a list of validation loss.
+ :param history: The history of training loss and validation loss. The 'train_loss' entry is a list of training loss and 'valid_loss' entry is a list of validation loss.
:type history: dict['train': list[float], 'valid': list[float]]
.. note::
