![]() ![]() We’ll first try a simple binary classification problem in PySpark using Spark MLlib, but, before doing so, let’s have a look at the current status of the machine learning APIs in Spark 2.0. ![]() Today we’ll have a look at some of them, inspired by a recent answer of mine in a Stack Overflow question (the question was about Spark 1.6 but, as we’ll see, the issue remains in Spark 2.0). Spark 2.0 has been released since last July but, despite the numerous improvements and new features, several annoyances still remain and can cause headaches, especially in the Spark machine learning APIs. ![]()
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September 2023
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