July 2018
Intermediate to advanced
334 pages
8h 20m
English
Content preview from Modern Scala Projects
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Creating a new data pipeline with three stages
Let's create the appropriate imports first, as follows:
import org.apache.spark.ml.classification.RandomForestClassifierimport org.apache.spark.ml.evaluation.MulticlassClassificationEvaluatorimport org.apache.spark.ml.param._import org.apache.spark.ml.tuning.{ParamGridBuilder, TrainValidationSplit}import org.apache.spark.ml.{Pipeline, PipelineStage}
Let's start building a pipeline now. This is a pipeline that has three stages, which are StringIndexer, LabelIndexer, and randomForestClassifier.
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.