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This commit is contained in:
robcaulk
2023-05-13 11:27:36 +00:00
parent 2ec1302c10
commit 18c1eda09b
1 changed files with 0 additions and 3 deletions
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freqtrade/freqai/torch/PyTorchModelTrainer.py
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@@ -25,7 +25,6 @@ class PyTorchModelTrainer(PyTorchTrainerInterface):
optimizer: Optimizer, optimizer: Optimizer,
criterion: nn.Module, criterion: nn.Module,
device: str, device: str,
# init_model: Dict,
data_convertor: PyTorchDataConvertor, data_convertor: PyTorchDataConvertor,
model_meta_data: Dict[str, Any] = {}, model_meta_data: Dict[str, Any] = {},
window_size: int = 1, window_size: int = 1,
@@ -56,8 +55,6 @@ class PyTorchModelTrainer(PyTorchTrainerInterface):
self.max_n_eval_batches: Optional[int] = kwargs.get("max_n_eval_batches", None) self.max_n_eval_batches: Optional[int] = kwargs.get("max_n_eval_batches", None)
self.data_convertor = data_convertor self.data_convertor = data_convertor
self.window_size: int = window_size self.window_size: int = window_size
# if init_model:
# self.load_from_checkpoint(init_model)
def fit(self, data_dictionary: Dict[str, pd.DataFrame], splits: List[str]): def fit(self, data_dictionary: Dict[str, pd.DataFrame], splits: List[str]):
""" """