January 2018
Intermediate to advanced
470 pages
11h 9m
English
Content preview from Scala Machine Learning Projects
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Developing insurance severity claims predictive model using LR
In this sub-section, we will develop a predictive analytics model for predicting accidental loss against the severity claim by clients. We start with importing required libraries:
import org.apache.spark.ml.regression.{LinearRegression, LinearRegressionModel}
import org.apache.spark.ml.{ Pipeline, PipelineModel }
import org.apache.spark.ml.evaluation.RegressionEvaluator
import org.apache.spark.ml.tuning.ParamGridBuilder
import org.apache.spark.ml.tuning.CrossValidator
import org.apache.spark.sql._
import org.apache.spark.sql.functions._
import org.apache.spark.mllib.evaluation.RegressionMetrics
Then we create an active Spark session as the entry point to the application. In addition, ...
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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.