Model card
astris-cohort-kmeans-v1
K-means cohort segmenter (Lloyd iteration with k-means++ seeding) that groups candidates by their support-feature vector to give caseworkers workable cohorts. Descriptive segmentation only — it never scores an individual for matching and is not a retention voter.
At a glance
| Kind | clustering kmeans |
| Version | 1.0.0 |
| Status | Active — contributing to scores |
| Ensemble weight | 0 |
| Trained at | Not trained yet |
| Trained on | n/a |
| Artifact | No artifact (heuristic or pre-training) |
Metrics
{
"role": "descriptive_segmentation",
"algorithm": "lloyd_kmeanspp",
"validation": "synthetic_seed",
"real_cohort": "pending"
}Notes
Caseworker cohort discovery surface; does not score people and does not vote on retention — weight 0. See api/ml/kmeans.py.