April 2017
Intermediate to advanced
532 pages
12h 39m
English
book
Machine Learning with Spark - Second Edition
by Rajdeep Dua, Brian O'Neill, Stephen Boesch, Manpreet Singh Ghotra, Nick Pentreath
Content preview from Machine Learning with Spark - Second Edition
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BikeSharingExecutor
The BikeSharingExecutor object can be used to choose and run the respective regression model, for example, to run LinearRegression and execute the linear regression pipeline, set the program argument as LR_<type>, where type is the data format; for other commands, refer to the following code snippet:
def executeCommand(arg: String, vectorAssembler: VectorAssembler, vectorIndexer: VectorIndexer, dataFrame: DataFrame, spark: SparkSession) = arg match { case "LR_Vectors" => LinearRegressionPipeline.linearRegressionWithVectorFormat (vectorAssembler, vectorIndexer, dataFrame) case "LR_SVM" => LinearRegressionPipeline.linearRegressionWithSVMFormat(spark) case "GLR_Vectors" => GeneralizedLinearRegressionPipeline .genLinearRegressionWithVectorFormat(vectorAssembler, ...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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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.
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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.