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Building a Recommendation Engine with Scala book

Building a Recommendation Engine with Scala by Saleem A. Ansari

Building a Recommendation Engine with Scala



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Building a Recommendation Engine with Scala Saleem A. Ansari ebook
Page: 156
Format: pdf
ISBN: 9781785282584
Publisher: Packt Publishing, Limited


Blog-spark-food-recommendation - Simple example on how to use .com/2014/ 07/22/building-a-food-recommendation-engine-with-spark-mllib-and-play/. PredictionIO E-Commerce Recommendation Engine Template (Scala-based parallelized engine). PredictionIO Recommendation Engine Template (Scala-based parallelized engine) v0.2.0. In Part 2, learn about some open source recommendation engines LinkedIn uses Apache Hadoop to build its specialized collaborative-filtering capabilities. Is an open source machine learning server application written in Scala. Everything works, building completes successfully. Very easily build blog recommendation engine using PredictionIO. And Jill, who both read several articles about Java™ and agile. Occured while trying to build recommendation engine of PredictionIO in Linux machine. Contribute to scala-parallel-universal-recommendation development by creating an Create a new app name, change appName in engine.json; Run pio app new pio build , pio train , and pio deploy; To execute some sample queries run . You will need: Scala 2.10+; Play Framework; MongoDB. 25 commits · 2 branches · 6 releases · Fetching contributors v0.2.0. PredictionIO recommendation engine template (Scala-based parallelized engine ) pio build.





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نوشته شده در : دوشنبه 19 مهر 1395  توسط : James Karcher.    نظرات() .

What is leg length discrepancy?
دوشنبه 27 شهریور 1396 03:40 ق.ظ
Hi! I know this is kind of off-topic but I had
to ask. Does building a well-established website like yours take a large amount of work?
I'm completely new to operating a blog but I do write in my journal daily.
I'd like to start a blog so I will be able to share my personal experience and thoughts online.

Please let me know if you have any recommendations or tips for new aspiring blog
owners. Appreciate it!
 
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