DetectionResultItem¶
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class
oci.ai_anomaly_detection.models.
DetectionResultItem
(**kwargs)¶ Bases:
object
An object to hold detection result for one timestamp/row.
Methods
__init__
(**kwargs)Initializes a new DetectionResultItem object with values from keyword arguments. Attributes
anomalies
[Required] Gets the anomalies of this DetectionResultItem. row_index
Gets the row_index of this DetectionResultItem. score
Gets the score of this DetectionResultItem. timestamp
Gets the timestamp of this DetectionResultItem. -
__init__
(**kwargs)¶ Initializes a new DetectionResultItem object with values from keyword arguments. The following keyword arguments are supported (corresponding to the getters/setters of this class):
Parameters: - timestamp (datetime) – The value to assign to the timestamp property of this DetectionResultItem.
- row_index (int) – The value to assign to the row_index property of this DetectionResultItem.
- score (float) – The value to assign to the score property of this DetectionResultItem.
- anomalies (list[oci.ai_anomaly_detection.models.Anomaly]) – The value to assign to the anomalies property of this DetectionResultItem.
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anomalies
¶ [Required] Gets the anomalies of this DetectionResultItem. An array of anomalies associated with a given timestamp/row.
Returns: The anomalies of this DetectionResultItem. Return type: list[oci.ai_anomaly_detection.models.Anomaly]
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row_index
¶ Gets the row_index of this DetectionResultItem. The index number to indicate where anomaly points are located among all rows when there are no timestamps provided.
Returns: The row_index of this DetectionResultItem. Return type: int
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score
¶ Gets the score of this DetectionResultItem. A significant score across multiple signals at timestamp/row level
Returns: The score of this DetectionResultItem. Return type: float
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