Evaluate an explicit slice from a loaded DataSet
.
HTTP request
POST https://{endpoint}/v1/{dataset=projects/*/datasets/*}:evaluateSlice
Where {endpoint}
is one of the supported service endpoints.
The URLs use gRPC Transcoding syntax.
Path parameters
Parameters | |
---|---|
dataset |
Required. Loaded DataSet to be queried in the format of "projects/{project}/datasets/{dataset}" |
Request body
The request body contains data with the following structure:
JSON representation |
---|
{ "pinnedDimensions": [ { object ( |
Fields | |
---|---|
pinnedDimensions[] |
Required. Dimensions with pinned values that specify the slice for which we will fetch the time series. |
detectionTime |
Required. This is the point in time which we want to probe for anomalies. See documentation for [QueryDataSetRequest.detectionPoint][QueryDataSetRequest.detection_point]. A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits. Examples: |
timeseriesParams |
Parameters controlling how we will build the time series used to predict the |
forecastParams |
Parameters that control the time series forecasting models, such as the sensitivity of the anomaly detection. |
Response body
If successful, the response body contains an instance of ForecastResult
.
Authorization Scopes
Requires the following OAuth scope:
https://www.googleapis.com/auth/cloud-platform
For more information, see the Authentication Overview.