datarobot (version 2.18.6)

GetAnomalyAssessmentExplanations: Retrieve anomaly assessment explanations.

Description

Explanations contain predictions along with shap explanations for the most anomalous records in the specified date range/for defined number of points. Two out of three parameters: startDate, endDate or pointsCount must be specified.

Usage

GetAnomalyAssessmentExplanations(
  projectId,
  recordId,
  startDate = NULL,
  endDate = NULL,
  pointsCount = NULL
)

Value

The anomaly assessment explanations:

• 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.

• startDate. POSIXct. First timestamp in the response. Will be NULL if there is no data in the specified range.

• endDate. POSIXct. Last timestamp in the response. Will be NULL if there is no data in the specified range.

• shapBaseValue. numeric. Shap base value.

• count. integer. The number of points in the data.

• data. list. A list of DataPoint objects in the specified date range containing:

  • shapExplanation. NULL or an array of up to 10 ShapleyFeatureContribution objects. Only rows with the highest anomaly scores have Shapley explanations calculated.

  • timestamp POSIXct. Timestamp for the row.

  • prediction numeric. The output of the model for this row.

  Each ShapleyFeatureContribution contains:
  

  • featureValue. character. The feature value for this row. First 50 characters are returned.

  • strength numeric. The shap value for this feature and row.

  • feature character. The feature name.

Arguments

projectId

character. The ID of the project.

recordId

character. The ID of the anomaly assessment record.

startDate

POSIXct. Optional. The start of the date range to get explanations in.

endDate

POSIXct. Optional. The end of the date range to get explanations in.

pointsCount

integer. Optional. The number of the rows to return.

See Also

Other Anomaly Assessment functions: DeleteAnomalyAssessmentRecord(), GetAnomalyAssessmentPredictionsPreview(), InitializeAnomalyAssessment(), ListAnomalyAssessmentRecords()

Examples

if (FALSE) {
projectId <- "59a5af20c80891534e3c2bde"
recordId <- "59a5af20c80891534e3c2bdb"
explanations <- GetAnomalyAssessmentExplanations(projectId, recordId, pointsCount=100,
   startDate=as.Date("2021-01-01"))
}