Add model registry
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@ -82,7 +82,7 @@ with mlflow.start_run():
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mlflow.log_metric("RMSE", rmse)
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signature = mlflow.models.signature.infer_signature(X_train.values, model.predict(X_train.values))
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mlflow.keras.save_model(model, "movies_imdb", input_example=input_example, signature=signature)
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# mlflow.keras.save_model(model, "movies_imdb", input_example=input_example, signature=signature)
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tracking_url_type_store = urlparse(mlflow.get_tracking_uri()).scheme
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if tracking_url_type_store != "file":
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