Parameters that control the sensitivity and other options for the time series forecast.
JSON representation |
---|
{
"seasonalityHint": enum ( |
Fields | |
---|---|
seasonalityHint |
Optional. Specifying any known seasonality/periodicity in the time series for the slices we will analyze can improve the quality of the results. If unsure, simply leave it unspecified by not setting a value for this field. If your time series has multiple seasonal patterns, then set it to the most granular one (e.g. if it has daily and weekly patterns, set this to DAILY). |
horizonDuration |
Optional. The length of the returned [forecasted timeseries][EvaluatedSlice.forecast]. This duration is currently capped at 100 x Example: If the detection point is set to "2020-12-27T00:00:00Z", the Note: The horizon time is only used for forecasting not for anormaly detection. To detect anomalies for multiple points of time, simply send multiple queries with those as A duration in seconds with up to nine fractional digits, ending with ' |
noiseThreshold |
Optional. Penalize variations between the actual and forecasted values smaller than this. For more information about how this parameter affects the score, see the Intuitively, anomaly scores summarize how statistically significant the change between the actual and forecasted value is compared with what we expect the change to be (see This parameter allows us to penalize such low absolute value changes. Must be in the (0.0, inf) range. If unspecified, it defaults to 0.000001. |
Period
A time period of a fixed interval.
Enums | |
---|---|
PERIOD_UNSPECIFIED |
Unknown or simply not given. |
HOURLY |
1 hour |
DAILY |
24 hours |
WEEKLY |
7 days |
MONTHLY |
30 days |
YEARLY |
365 days |