Add latest changes from gitlab-org/gitlab@master

2 files changed, 19 insertions, 4 deletions

diff --git a/doc/user/project/ml/experiment_tracking/mlflow_client.md b/doc/user/project/ml/experiment_tracking/mlflow_client.md
index 35972f0ad7f..1522fd8e4fc 100644
--- a/doc/user/project/ml/experiment_tracking/mlflow_client.md
+++ b/doc/user/project/ml/experiment_tracking/mlflow_client.md
@@ -39,6 +39,9 @@ To use MLflow client compatibility from a local environment:
 
 1. If the training code contains the call to `mlflow.set_tracking_uri()`, remove it.
 
+In the model registry, you can copy the tracking URI from the overflow menu in the top right
+by selecting the vertical ellipsis (**{ellipsis_v}**).
+
 ## Model experiments
 
 When running the training code, MLflow client can be used to create experiments, runs,
@@ -141,11 +144,22 @@ description = 'Model version description'
 model_version = client.create_model_version(model_name, source="", description=description)
 ```
 
+If the version parameter is not passed, it will be auto-incremented from the latest uploaded
+version. You can set the version by passing a tag during model version creation. The version
+must follow [SemVer](https://semver.org/) format.
+
+```python
+client = MlflowClient()
+model_name = '<your_model_name>'
+version = '<your_version>'
+tags = { "gitlab.version" = version }
+client.create_model)version(model_name, version, description=description, tags=tags)
+```
+
 **Notes**
 
 - Argument `run_id` is ignored. Every model version behaves as a Candidate/Run. Creating a mode version from a run is not yet supported.
 - Argument `source` is ignored. GitLab will create a package location for the model version files.
-- Argument `tags` is ignored.
 - Argument `run_link` is ignored.
 - Argument `await_creation_for` is ignored.
 
diff --git a/doc/user/project/ml/model_registry/index.md b/doc/user/project/ml/model_registry/index.md
index 492ec9940ab..026afc01f22 100644
--- a/doc/user/project/ml/model_registry/index.md
+++ b/doc/user/project/ml/model_registry/index.md
@@ -29,13 +29,14 @@ at least the [Reporter role](../../../permissions.md#roles) to modify or delete
 
 ## Exploring models, model versions and model candidates
 
-Model registry can be accessed on `https/<your-project>-/ml/models`.
+To access the model registry, from the left sidebar, select **Deploy > Model registry**.
 
 ## Creating machine learning models and model versions
 
 Models and model versions can be created using the [MLflow](https://www.mlflow.org/docs/latest/tracking.html) client compatibility.
-See [MLflow client compatibility](../experiment_tracking/mlflow_client.md#model-registry) on how to
-create and manage models and model versions.
+For more information about how to create and manage models and model versions, see [MLflow client compatibility](../experiment_tracking/mlflow_client.md#model-registry).
+You can also create models directly on GitLab by selecting **Create Model**
+on the Model registry page.
 
 ## Upload files, log metrics, log parameters to a model version