ListAnomalyAssessmentRecords {datarobot} | R Documentation |
Retrieve anomaly assessment records.
Description
Retrieve anomaly assessment records.
Usage
ListAnomalyAssessmentRecords(
projectId,
modelId,
backtest = NULL,
source = NULL,
seriesId = NULL,
limit = 100,
offset = 0
)
Arguments
projectId |
character. The ID of the project. |
modelId |
character. The ID of the model. |
backtest |
integer or "holdout". Optional. The backtest to filter records by. |
source |
"training" or "validation". Optional. The source of the data to filter records by. |
seriesId |
character. Optional. Can be specified for multiseries projects. The series id to filter records by. |
limit |
integer, greater than zero. Optional. Defaults to 100. At most this many results are returned. The default may change without notice. |
offset |
integer. Optional. Default is 0. This many results will be skipped. |
Value
A list of objects with anomaly assessment metadata:
recordId. character. The ID of the record.
projectId. character. The project ID of the record.
modelId. character. The model ID of the record.
backtest. character. The backtest of the record.
source. character. The source of the record.
seriesId. character. the series ID of the record.
status. character. The status of the insight.
statusDetails. character. The explanation of the status.
startDate. POSIXct. Timestamp of the first prediction in the subset. Will be NULL if status is not
completed
.endDate. POSIXct. Timestamp of the last prediction in the subset. Will be NULL if status is not
completed
.predictionThreshold. numeric. The threshold, all rows with anomaly scores greater or equal to it have shap explanations computed. Will be NULL if status is not
completed
.previewLocation. character. URL to retrieve predictions preview for the subset. Will be NULL if status is not
completed
.latestExplanationsLocation. character. the URL to retrieve the latest predictions with the shap explanations. Will be NULL if status is not
completed
.deleteLocation. character. the URL to delete anomaly assessment record and relevant insight data.
See Also
Other Anomaly Assessment functions:
DeleteAnomalyAssessmentRecord()
,
GetAnomalyAssessmentExplanations()
,
GetAnomalyAssessmentPredictionsPreview()
,
InitializeAnomalyAssessment()
Examples
## Not run:
projectId <- "59a5af20c80891534e3c2bde"
modelId <- "59a5af20c80891534e3c2bdd"
records <- ListAnomalyAssessmentRecords(projectId, modelId, backtest=0, seriesId="Baltimore")
## End(Not run)