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Answer: client.transition_model_version_stage(name=model_name, version=2, stage='Stage')
To transition a model version to any stage, including 'Stage', the correct function to use in Python code is `client.transition_model_version_stage`. This function is specifically designed for changing the stage of a model version in the MLflow Model Registry.
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What is the correct method to transition a model version to the 'Stage' stage in the MLflow Model Registry?
A
client.deploy_model_version(name=model_name, version=2, stage='Stage')
B
client.stage_model_version(name=model_name, version=2, stage='Stage')
C
client.transition_model_version_stage(name=model_name, version=2, stage='Stage')
D
client.move_model_version(name=model_name, version=2, stage='Stage')
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