백테스트 수정중
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@@ -111,8 +111,8 @@ class StockLSTM:
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self.seq_std = X_seq.std(axis=(0, 1)) + 1e-8
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X_norm = (X_seq - self.seq_mean) / self.seq_std
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X_tensor = torch.FloatTensor(X_norm).to(self.device)
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y_tensor = torch.LongTensor(y).to(self.device)
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X_tensor = torch.FloatTensor(X_norm.copy()).to(self.device)
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y_tensor = torch.LongTensor(y.copy()).to(self.device)
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dataset = TensorDataset(X_tensor, y_tensor)
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loader = DataLoader(dataset, batch_size=batch_size, shuffle=True)
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@@ -157,7 +157,7 @@ class StockLSTM:
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self.model.eval()
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X_norm = (X_seq - self.seq_mean) / self.seq_std
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X_tensor = torch.FloatTensor(X_norm).to(self.device)
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X_tensor = torch.FloatTensor(X_norm.copy()).to(self.device)
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with torch.no_grad():
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outputs = self.model(X_tensor)
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