Conventions used

There are a number of text conventions used throughout this book.

Code in text: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: “For learning purposes, we have provided two example mlruns artifacts and the huggingface cache folder in the GitHub repository under the chapter08 folder.”

A block of code is set as follows:

client = boto3.client('sagemaker-runtime') 

response = client.invoke_endpoint(

        EndpointName=app_name, 

        ContentType=content_type,

        Accept=accept,

        Body=payload

        )

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

loaded_model = mlflow.pyfunc.spark_udf(

    spark,

    model_uri=logged_model, 

    result_type=StringType())

Any command-line input or output is written as follows:

mlflow models serve -m models:/inference_pipeline_model/6

Bold: Indicates a new term, an important word, or words that you see onscreen. For instance, words in menus or dialog boxes appear in bold. Here is an example: “To execute the code in this cell, you can just click on Run Cell in the top-right drop-down menu.”

Tips or Important Notes

Appear like this.