>>> from epmt import epmt_outliers as eo
>>> eo.detect_outlier_ops(jobs=['53569754', '53552609', '53569755', '53552610', '53552613', '53567597', '53552614', '53569756', '53567598', '53567599'], tags=[], trained_model=None, features=['duration', 'cpu_time', 'num_procs'], methods=[], thresholds={'modified_z_score': 3.5, 'z_score': 3.0}, sanity_check=True, pca=False)
...
...
...
2026-04-24 11:34:40 WARNING: epmt.epmt_job: skipped processing jobid 53552609 as it has been already processed
2026-04-24 11:34:40 WARNING: epmt.epmt_job: skipped processing jobid 53552610 as it has been already processed
2026-04-24 11:34:40 WARNING: epmt.epmt_job: skipped processing jobid 53552613 as it has been already processed
2026-04-24 11:34:40 WARNING: epmt.epmt_job: skipped processing jobid 53552614 as it has been already processed
2026-04-24 11:34:40 WARNING: epmt.epmt_job: skipped processing jobid 53567597 as it has been already processed
2026-04-24 11:34:40 WARNING: epmt.epmt_job: skipped processing jobid 53567598 as it has been already processed
2026-04-24 11:34:40 WARNING: epmt.epmt_job: skipped processing jobid 53567599 as it has been already processed
2026-04-24 11:34:40 WARNING: epmt.epmt_job: skipped processing jobid 53569754 as it has been already processed
2026-04-24 11:34:40 WARNING: epmt.epmt_job: skipped processing jobid 53569755 as it has been already processed
2026-04-24 11:34:40 WARNING: epmt.epmt_job: skipped processing jobid 53569756 as it has been already processed
2026-04-24 11:34:40 INFO: epmt.epmt_query: 0 of 10 jobs post-processed
2026-04-24 11:34:40 INFO: epmt.epmt_outliers: 3 classifiers eligible
