sort imports
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@ -8,6 +8,7 @@ from pandas import DataFrame
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from freqtrade.freqai.data_kitchen import FreqaiDataKitchen
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from freqtrade.freqai.data_kitchen import FreqaiDataKitchen
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from freqtrade.freqai.freqai_interface import IFreqaiModel
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from freqtrade.freqai.freqai_interface import IFreqaiModel
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logger = logging.getLogger(__name__)
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logger = logging.getLogger(__name__)
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@ -1,13 +1,13 @@
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import logging
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import logging
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from pathlib import Path
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from pathlib import Path
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from typing import Dict
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from typing import Dict
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from torch.optim import Optimizer
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import pandas as pd
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import torch
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import torch
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import torch.nn as nn
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import torch.nn as nn
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from torch.utils.data import DataLoader
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from torch.optim import Optimizer
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from torch.utils.data import TensorDataset
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from torch.utils.data import DataLoader, TensorDataset
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import pandas as pd
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logger = logging.getLogger(__name__)
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logger = logging.getLogger(__name__)
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@ -1,19 +1,16 @@
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import logging
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import logging
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from typing import Any, Dict, Tuple
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from typing import Any, Dict, Tuple, List
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import numpy.typing as npt
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import numpy as np
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import numpy as np
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import numpy.typing as npt
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import pandas as pd
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import pandas as pd
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import torch
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import torch
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from pandas import DataFrame
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from pandas import DataFrame
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from torch.nn import functional as F
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from torch.nn import functional as F
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from freqtrade.exceptions import OperationalException
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from freqtrade.freqai.data_kitchen import FreqaiDataKitchen
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from freqtrade.freqai.base_models.BasePyTorchModel import BasePyTorchModel
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from freqtrade.freqai.base_models.BasePyTorchModel import BasePyTorchModel
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from freqtrade.freqai.base_models.PyTorchModelTrainer import PyTorchModelTrainer
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from freqtrade.freqai.base_models.PyTorchModelTrainer import PyTorchModelTrainer
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from freqtrade.freqai.data_kitchen import FreqaiDataKitchen
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from freqtrade.freqai.prediction_models.PyTorchMLPModel import PyTorchMLPModel
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from freqtrade.freqai.prediction_models.PyTorchMLPModel import PyTorchMLPModel
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@ -1,9 +1,8 @@
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import logging
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import logging
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import torch
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import torch.nn as nn
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from torch import Tensor
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from torch import Tensor
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import torch.nn as nn
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logger = logging.getLogger(__name__)
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logger = logging.getLogger(__name__)
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