class_docstr: Lightning module which trains an MLP until convergence.
class_docstr_tok: ["Lightning","module","which","trains","an","MLP","until","convergence","."]
code: def configure_callbacks(self) -> List[Callback]:
      return [
          EarlyStopping(
              "train_loss",
              patience=50,
              min_delta=1e-3,
              check_on_train_epoch_end=True,
          )
      ]
  
file_path: gluonts/src/gluonts/nursery/tsbench/src/tsbench/surrogate/torch/mlp_lightning_module.py
imports: from typing import List, Tuple
  import pytorch_lightning
  import torch
  from pytorch_lightning.callbacks import Callback, EarlyStopping
  from torch import nn, optim
  from .losses import ListMLELoss
label_desc: Use image node_id 3 for calling the MLPLightningModule obj's underlying member method code with example usage: obj.configure_callbacks() and returns: list