allow users to buffer train data with buffer_train_data_candles parameter
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@@ -330,6 +330,8 @@ class IFreqaiModel(ABC):
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dataframe_base_backtest = strategy.set_freqai_targets(
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dataframe_base_backtest, metadata=metadata)
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tr_train = dk.buffer_timerange(tr_train)
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dataframe_train = dk.slice_dataframe(tr_train, dataframe_base_train)
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dataframe_backtest = dk.slice_dataframe(tr_backtest, dataframe_base_backtest)
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@@ -614,6 +616,8 @@ class IFreqaiModel(ABC):
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strategy, corr_dataframes, base_dataframes, pair
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)
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new_trained_timerange = dk.buffer_timerange(new_trained_timerange)
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unfiltered_dataframe = dk.slice_dataframe(new_trained_timerange, unfiltered_dataframe)
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# find the features indicated by strategy and store in datakitchen
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