anom

• Model
• Chart

Get Quantile Anomaly Detection Data

Source Code: [link]

openbb.forecast.anom(data: Union[pd.Series, pd.DataFrame], target_column: str = "close", train_split: float = 0.6)

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Parameters

Name	Type	Description	Default	Optional
data	Union[pd.Series, pd.DataFrame]		None	False
Input Data	None		None	True
-------	None		None	True
target_column	str	Target column to forecast. Defaults to "close".	close	True
train_split	(float, optional)	Train/val split. Defaults to 0.85.	0.6	True

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Returns

Type	Description
Tuple[	List[TimeSeries], List[TimeSeries], List[TimeSeries], ]

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Display Quantile Anomaly Detection

Source Code: [link]

openbb.forecast.anom_chart(data: Union[pd.Series, pd.DataFrame], dataset_name: Any = "", target_column: str = "close", train_split: float = 0.6, export: str = "", start_date: Optional[datetime.datetime] = None, end_date: Optional[datetime.datetime] = None, external_axes: bool = False)

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Parameters

Name	Type	Description	Default	Optional
data	Union[pd.Series, pd.DataFrame]		None	False
Input Data	None		None	True
----------	None		None	True
target_column	str	Target column to forecast. Defaults to "close".	close	True
train_split	(float, optional)	Train/val split. Defaults to 0.85.	0.6	True
export	(str, optional)	Export data to csv, jpg, png, or pdf. Defaults to "".		True
start_date	(Optional[datetime], optional)	Start date. Defaults to None.	None	True
end_date	(Optional[datetime], optional)	End date. Defaults to None.	None	True
external_axes	bool	Whether to return the figure object or not, by default False	False	True

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Returns

Type	Description
Union[None, go.Figure]	None if external_axes is True, otherwise the figure object

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