add priority metadata to pairs to avoid a sync of train time + train period
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@@ -51,7 +51,9 @@ class CatboostPredictionModel(IFreqaiModel):
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:returns:
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:model: Trained model which can be used to inference (self.predict)
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"""
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logger.info("--------------------Starting training--------------------")
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logger.info('--------------------Starting training'
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f'{metadata["pair"]} --------------------')
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# create the full feature list based on user config info
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dh.training_features_list = dh.find_features(unfiltered_dataframe)
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