ptional for this task.

from zenml import pipelinefrom zenml import Model

@pipeline(

enable_cache=False,

model=Model(

name="demo",

license="Apache",

description="Show case Model Control Plane.",

),

def train_and_promote_model():

...

Running the training pipeline creates a new model version, all while maintaining a connection to the artifacts.

PreviousUse the Model Control Plane

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Last updated 12 days ago