fix seed

src/cellflow/model/_cellflow.py

@@ -520,6 +520,7 @@ def train(
         callbacks: Sequence[BaseCallback] = [],
         monitor_metrics: Sequence[str] = [],
         out_of_core_dataloading: bool = False,
+        seed: int = 0,
     ) -> None:
         """Train the model.
 
@@ -547,6 +548,8 @@ def train(
         out_of_core_dataloading
             If :obj:`True`, use out-of-core dataloading. Uses the :class:`cellflow.data._dataloader.OOCTrainSampler`
             to load data that does not fit into GPU memory.
+        seed
+            Random seed, only used if `out_of_core_dataloading` is `True`.
 
         Returns
         -------
@@ -562,7 +565,7 @@ def train(
             raise ValueError("Model not initialized. Please call `prepare_model` first.")
 
         if out_of_core_dataloading:
-            self._dataloader = OOCTrainSampler(data=self.train_data, batch_size=batch_size)
+            self._dataloader = OOCTrainSampler(data=self.train_data, seed=seed, batch_size=batch_size)
         else:
             self._dataloader = TrainSampler(data=self.train_data, batch_size=batch_size)
         validation_loaders = {k: ValidationSampler(v) for k, v in self.validation_data.items() if k != "predict_kwargs"}