Set thresholds

Whether a call to this function is allowed to create jobs to regenerate model testing results (e.g. object detection datasets, or large datasets). This option is here because further calls to setImpulseThresholds are blocked while model testing jobs are running (so e.g. live classification has this to FALSE).

If set, this'll force the creation of a job to regenerate the model testing results.

Whether the operation succeeded

Optional error description (set if 'success' was false)

Whether there were model testing results available before calling this function.

Altering thresholds invalidates model testing results. We try to regenerate the results where possible. You'll get either "not_regenerated" (e.g. no model testing results, or dataset does not support fast regeneration, like for object detection models); "regenerated" (regeneration successful); "started_job" (regenerate is possible, but requires a job, that was kicked off - e.g. for large test sets); "requires_job" (requires a job, but "allowCreatingRegenerateModelTestingJobs" was false - start a new job manually via regenerateModelTestingSummary). If a job was started then "regenerateModelTestingResultsJobId" is set.

If there previously were model testing results, and your dataset supports fast re-generation of model testing results (e.g. no object detection blocks), but your dataset is too big to re-generate results inline (e.g. >20K test set samples) - then a job is kicked off to regenerate the results. This field contains the job ID.