Transition a Model Version's Stage

Transition a Model Version's Stage

Usage

db_mlflow_model_transition_stage(
  name,
  version,
  stage = c("None", "Staging", "Production", "Archived"),
  archive_existing_versions = TRUE,
  comment = NULL,
  host = db_host(),
  token = db_token(),
  perform_request = TRUE
)

Arguments

name

Name of the model.

version

Version of the model.

stage

Target stage of the transition. Valid values are: None, Staging, Production, Archived.

archive_existing_versions

Boolean (Default: TRUE). Specifies whether to archive all current model versions in the target stage.

comment

User-provided comment on the action.

host

Databricks workspace URL, defaults to calling db_host().

token

Databricks workspace token, defaults to calling db_token().

perform_request

If TRUE (default) the request is performed, if FALSE the httr2 request is returned without being performed.

Details

This is a Databricks version of the MLflow endpoint that also accepts a comment associated with the transition to be recorded.

See also

Other Model Registry API: db_mlflow_model_approve_transition_req(), db_mlflow_model_delete_transition_req(), db_mlflow_model_open_transition_reqs(), db_mlflow_model_reject_transition_req(), db_mlflow_model_transition_req(), db_mlflow_model_version_comment(), db_mlflow_model_version_comment_delete(), db_mlflow_model_version_comment_edit(), db_mlflow_registered_model_details()