Registry
[workflow action package]
@beam/trainer-anomalyAnomaly detector
Learns what normal rows look like from a CSV, TSV or JSON Lines file and spots the ones it cannot reconstruct. A small real autoencoder on the CPU; needs no labels, and measures itself on them when a column names the known anomalies.
ExternalActiveValidatedHippius artifacttask:anomalyanomaly-detectionautoencodertabularreal-trainingfedavgcpupythonsandbox
Trust
ExternalPlacements
3Permissions
-Versions
1[package identity]
Details
Identity and execution metadata for the latest version.
- Package
@beam/trainer-anomaly- Repository
- -
- Author
- beam
- Category
- ml
- API version
- workflow-actions/v2
- Latest tag
- latest -> 1.0.0
- Task mode
- single-worker
- Default placement
- external-workers
- Visibility
- Public
- Published
- Nov 4, 2026, 7:15 PM
- Updated
- 11/4/2026
[workflow reference]
Use in a workflow
Drop this into a workflow definition to reference the action.
{
"actionPackageName": "@beam/trainer-anomaly",
"actionVersionRange": "^1.0.0",
"config": {},
"inputBindings": {}
}[developer tooling]
CLI
Publish and resolve packages from a local development environment.
beam-registry publish . --tag latest curl "https://api.lab.b3m.dev/registry/v1/resolve/%40beam/trainer-anomaly?range=latest"