Adjust documentation for new parameter in loss functions
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@@ -1,5 +1,6 @@
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from datetime import datetime
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from math import exp
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from typing import Dict
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from pandas import DataFrame
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@@ -35,6 +36,7 @@ class SampleHyperOptLoss(IHyperOptLoss):
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@staticmethod
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def hyperopt_loss_function(results: DataFrame, trade_count: int,
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min_date: datetime, max_date: datetime,
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processed: Dict[str, DataFrame],
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*args, **kwargs) -> float:
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"""
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Objective function, returns smaller number for better results
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