Add default params_to_tune for MedianOutliersTransform, DensityOutliersTransform and PredictionIntervalOutliersTransform
#1231
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…ityOutliersTransform, PredictionIntervalOutliersTransform
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| class PredictionIntervalOutliersTransform(OutliersTransform): | ||
| """Transform that uses :py:func:`~etna.analysis.outliers.prediction_interval_outliers.get_anomalies_prediction_interval` to find anomalies in data.""" | ||
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| def __init__( | ||
| self, | ||
| in_column: str, | ||
| model: Union[Type["ProphetModel"], Type["SARIMAXModel"]], | ||
| model: Union[Literal["prophet"], Literal["sarimax"], Type["ProphetModel"], Type["SARIMAXModel"]], |
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It looks somewhat like a hack. I don't think it is a good solution.
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It is because categorical distribution can't work with this type?
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| class PredictionIntervalOutliersTransform(OutliersTransform): | ||
| """Transform that uses :py:func:`~etna.analysis.outliers.prediction_interval_outliers.get_anomalies_prediction_interval` to find anomalies in data.""" | ||
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| def __init__( | ||
| self, | ||
| in_column: str, | ||
| model: Union[Type["ProphetModel"], Type["SARIMAXModel"]], | ||
| model: Union[Literal["prophet"], Literal["sarimax"], Type["ProphetModel"], Type["SARIMAXModel"]], |
There was a problem hiding this comment.
It is because categorical distribution can't work with this type?
Before submitting (must do checklist)
Proposed Changes
Look #1225.
Closing issues
Closes #1225.