From 0c633bd9b4cb595bf8574dba13269d915c8f22cc Mon Sep 17 00:00:00 2001 From: Kjell Tore Guttormsen Date: Wed, 24 Jun 2026 11:38:26 +0200 Subject: [PATCH] =?UTF-8?q?docs(ms-ai-architect):=20KB-refresh=20MEDIUM=20?= =?UTF-8?q?31/33=20=E2=80=94=20model-versioning:=20MLflow=20stages=20legac?= =?UTF-8?q?y=20i=20UC=20(aliases/tags/deployment=20jobs)=20+=20MLflow=203-?= =?UTF-8?q?endringer?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../model-versioning-registry-management.md | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/skills/ms-ai-engineering/references/mlops-genaiops/model-versioning-registry-management.md b/skills/ms-ai-engineering/references/mlops-genaiops/model-versioning-registry-management.md index b56d0be..bbbc409 100644 --- a/skills/ms-ai-engineering/references/mlops-genaiops/model-versioning-registry-management.md +++ b/skills/ms-ai-engineering/references/mlops-genaiops/model-versioning-registry-management.md @@ -1,13 +1,13 @@ # Model Versioning and Registry Management -**Last updated:** 2026-04 -**Verified:** MCP 2026-04 +**Last updated:** 2026-06-24 +**Verified:** MCP 2026-06 **Status:** GA **Category:** MLOps & GenAIOps --- -**Verified:** MCP 2026-04 +**Verified:** MCP 2026-06 ## Introduksjon @@ -220,6 +220,8 @@ ml_client_workspace.online_deployments.begin_create_or_update(deployment) **VIKTIG:** Stages er kun tilgjengelig via MLflow SDK, ikke i Azure ML Studio UI. Deployment fra stage støttes ikke direkte i Azure ML online endpoints. +> **NB — Databricks / Unity Catalog:** I Unity Catalog er MLflow **stages utfaset (legacy)** og erstattet av **aliases** (muterbare navngitte referanser, f.eks. «Champion», for å peke på en modellversjon) + **tags** (for labeling) + **deployment jobs** (lifecycle med human-in-the-loop-godkjenning). MLflow 3 bruker `databricks-uc` som default registry. Stages er fortsatt tilgjengelig i Azure ML workspace-registry, men er den eldre veien. I MLflow 3 er også `mlflow.evaluate` utfaset (bruk `mlflow.models.evaluate` for klassisk ML / `mlflow.genai.evaluate` for GenAI), `log_model` bruker `name=` (ikke `artifact_path`), og modell-URI er `models:/`. + ### Vanlige feil | Feil | Konsekvens | Løsning |