start experiment 22 (exp/22-re-run-experiment-16s-5-day-rankic-ensem)
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@@ -173,8 +173,7 @@ class LakeFeatureProvider(FeatureProvider):
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def _load_feature_df(self, instrument: str, timeframe: str) -> pd.DataFrame:
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key = (instrument, timeframe)
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if key not in self._feature_cache:
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p = self.cfg.features_path(timeframe, instrument)
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self._feature_cache[key] = pd.read_parquet(p) if p.exists() else pd.DataFrame()
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self._feature_cache[key] = self.cfg.load_features(timeframe, instrument)
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return self._feature_cache[key]
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@staticmethod
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