August 2017
Beginner to intermediate
340 pages
8h 42m
English
Content preview from Mastering Machine Learning with Spark 2.x
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The emp_title column transformation
The first column, emp_title, describes the employment title. However, it is not unified-there are multiple versions with the same meaning ("Bank of America" versus "bank of america") or a similar meaning ("AT&T" and "AT&T Mobility"). Our goal is to unify the labels into a basic form, detect similar labels, and replace them by a common title. The theory is the employment title has a direct impact on the ability to pay back the loan.
The basic unification of labels is a simple task-transform labels into lowercase form and drop all non-alphanumeric characters ("&" or "."). For this step, we will use the Spark API for user-defined functions:
val unifyTextColumn = (in: String) => {if (in != null) in.toLowerCase.replaceAll( ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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