The data transformation is all the same.
Sure, linear regression is easy:
https://spark.apache.org/docs/latest/ml-classification-regression.html#linear-regression
These are components that operate on DataFrames.
You'll want to look at VectorAssembler to prepare data into an array column.
There
Morning everyone,
The question may seem to broad but will try to synth as much as possible:
I'm used to work with Spark SQL, DFs and such on a daily basis, easily
grouping, getting extra counters and using functions or UDFs. However, I've
come to an scenario where I need to make some predictions
