- Mastering Machine Learning on AWS
- Dr. Saket S.R. Mengle Maximo Gurmendez
- 152字
- 2021-06-24 14:23:10
Conventions used
There are a number of text conventions used throughout this book.
CodeInText: 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: "The following screenshot shows the first few lines of our df dataframe."
A block of code is set as follows:
vectorizer = CountVectorizer(input=dem_text + gop_text,
stop_words=stop_words,
max_features=1200)
Any command-line input or output is written as follows:
wget -O /tmp/adform.click.2017.01.json.gz https://dataverse.harvard.edu/api/access/datafile/:persistentId/?persistentId=doi:10.7910/DVN/TADBY7/JCI3VG
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: "You can also train a custom NER algorithm in AWS Comprehend using the Customization | Custom entity recognition option in the left menu."
Warnings or important notes appear like this.
Tips and tricks appear like this.
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