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: “You will use the detect_labels API from Amazon Rekognition in the code.”

A block of code is set as follows:

from sagemaker.predictor import Predictor
predictor = Predictor(endpoint_name='your-endpoint-name', sagemaker_session=sagemaker_session)
predictor.predict('input_data')

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

sh-4.2$ cd ~/SageMaker/ sh-4.2$ git clone https://github.com/PacktPublishing/ AWS-Certified-Machine-Learning-Specialty-MLS-C01- Certification-Guide-Second-Edition.git

Bold: Indicates a new term, an important word, or words that you see onscreen. For example, words in menus or dialog boxes appear in the text like this. Here is an example: “In CloudWatch, each Lambda function will have a log group and, inside that log group, many log streams.”

Tips or important notes

Appear like this.