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@ -201,9 +201,9 @@ class AnomalyDetector(ProcessingDetector):
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# TODO: support multiple segments |
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timestamps = utils.convert_series_to_timestamp_list(dataframe.timestamp) |
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upper_bound_timeseries = list(zip(timestamps, upper_bound.values.tolist())) |
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lower_bound_timeseries = list(zip(timestamps, lower_bound.values.tolist())) |
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result = AnomalyProcessingResult(upper_bound_timeseries, lower_bound_timeseries) |
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upper_bound_timeseries = list(zip(timestamps, upper_bound.values.tolist())) |
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result = AnomalyProcessingResult(lower_bound_timeseries, upper_bound_timeseries) |
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return result |
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def add_season_to_data(self, data: pd.Series, segment: pd.Series, offset: int, seasonality: int, addition: bool) -> pd.Series: |
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