Centralize model governance with SageMaker Model Registry Resource Access Manager sharing
AWS Machine Learning
NOVEMBER 14, 2024
from time import gmtime, strftime experiment_suffix = strftime('%d-%H-%M-%S', gmtime()) experiment_name = f"credit-risk-model-experiment-{experiment_suffix}" The processing script creates a new MLflow active experiment by calling the mlflow.set_experiment() method with the experiment name above. fit_transform(y).
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