save_live_data_backtest - added docs and tests
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@@ -694,7 +694,8 @@ class IFreqaiModel(ABC):
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for label in full_labels:
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if self.dd.historic_predictions[dk.pair][label].dtype == object:
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continue
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f = spy.stats.norm.fit(self.dd.historic_predictions[dk.pair][label].tail(num_candles))
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f = spy.stats.norm.fit(
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self.dd.historic_predictions[dk.pair][label].fillna(0).tail(num_candles))
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dk.data["labels_mean"][label], dk.data["labels_std"][label] = f[0], f[1]
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return
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@@ -882,11 +883,7 @@ class IFreqaiModel(ABC):
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if index >= fit_live_predictions_candles:
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self.dd.historic_predictions[self.dk.pair] = (
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dk.full_df.iloc[index - fit_live_predictions_candles:index])
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else:
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self.dd.historic_predictions[self.dk.pair] = dk.full_df.iloc[:index]
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self.fit_live_predictions(self.dk, self.dk.pair)
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if index >= fit_live_predictions_candles:
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self.fit_live_predictions(self.dk, self.dk.pair)
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for label in label_columns:
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if dk.full_df[label].dtype == object:
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continue
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@@ -899,6 +896,7 @@ class IFreqaiModel(ABC):
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for extra_col in self.dk.data["extra_returns_per_train"]:
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dk.full_df.at[index, f"{extra_col}"] = (
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self.dk.data["extra_returns_per_train"][extra_col])
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return
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# Following methods which are overridden by user made prediction models.
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