MODULE REFERENCE
results
anomx.execution.resultsContracts shared by algorithm orchestrators.
classView source ↗
JobResult
JobResult(job_id: str, status: str, connector: str, model: str, scorer: str, detector: str, summary: JobSummary, records: list[dict[str, Any]] = <factory: list>)| Parameter | Type | Default |
|---|---|---|
job_id | str | required |
status | str | required |
connector | str | required |
model | str | required |
scorer | str | required |
detector | str | required |
summary | JobSummary | required |
records | list[dict[str, Any]] | <factory: list> |
Members
job_idattribute
job_id: strstatusattribute
status: strconnectorattribute
connector: strmodelattribute
model: strscorerattribute
scorer: strdetectorattribute
detector: strsummaryattribute
summary: JobSummaryrecordsattribute
records: list[dict[str, Any]] = field(default_factory=list)to_dictmethod
classView source ↗
JobSpec
JobSpec(connector: str, model: str, detector: str, scorer: str, config: dict[str, Any] = <factory: dict>)| Parameter | Type | Default |
|---|---|---|
connector | str | required |
model | str | required |
detector | str | required |
scorer | str | required |
config | dict[str, Any] | <factory: dict> |
Members
connectorattribute
connector: strmodelattribute
model: strdetectorattribute
detector: strscorerattribute
scorer: strconfigattribute
config: dict[str, Any] = field(default_factory=dict)from_mappingclassmethod
from_mapping(payload: dict[str, Any]) -> JobSpec| Parameter | Type | Default |
|---|---|---|
payload | dict[str, Any] | required |
Returns JobSpec
classView source ↗
JobSummary
JobSummary(rows_processed: int, anomaly_count: int, feature_columns: list[str] = <factory: list>, score_column: str = 'zscore', duration_ms: int = 0)| Parameter | Type | Default |
|---|---|---|
rows_processed | int | required |
anomaly_count | int | required |
feature_columns | list[str] | <factory: list> |
score_column | str | 'zscore' |
duration_ms | int | 0 |
Members
rows_processedattribute
rows_processed: intanomaly_countattribute
anomaly_count: intfeature_columnsattribute
feature_columns: list[str] = field(default_factory=list)score_columnattribute
score_column: str = 'zscore'duration_msattribute
duration_ms: int = 0