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Apache PredictionIO

This presentation gives an overview of the Apache PredictionIO project. It covers areas like architecture, features, model deployment and development. <br> <br>Links for further information and connecting<br><br>http://www.amazon.com/Michael-Frampton/e/B00NIQDOOM/<br><br>https://nz.linkedin.com/pub/mike-frampton/20/630/385<br><br>https://open-source-systems.blogspot.com/<br><br>Music by <br><br>"Little Planet", composed and performed by Bensound from http://www.bensound.com/<br>

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Apache PredictionIO

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  1. What Is PredictionIO ? ● A Machine Learning Server ● Uses Customizable Model Templates ● Powered By Apache Spark ● Offers SDK's for Java, PHP, Python, Ruby ● Apache 2 License – Open Source ● Query in Real Time

  2. PredictionIO Architecture

  3. PredictionIO Architecture PredictionIO Contains ●PredictionIO Platform – Stack For Engine Management ●Event Server – Process Events / Data From Multiple Sources ●Template Gallery – Source Engine Templates

  4. PredictionIO Event Server ●Event Server Collects App Data ●Sends Data to Model Engines ●Real Time or Batch ●Supports Multiple Apps ●Send Data via HTTP to Server ●Send Data via SDK's to Server

  5. PredictionIO Engine ●Engines Make Predictions ●Deployed As Web Service ●Responds Via REST API ●Uses Training Data to Create Models ●See Template Gallery For Engines

  6. PredictionIO Dependencies ●Scala ●Apache Spark 2.0.2 + ●Hadoop 2.6.5 + ( Optional ) ●Java 8 ●One Of The Following – PostgreSQL 9.1 – MySQL 5.1 – Apache HBASE 0.98.5 / ElasticSearch 1.7.6

  7. PredictionIO Configuration ●PredictionIO Has Three Repositories – Event, Meta, Model Data ●Storage Can Be – PostreSQL ( All Data ) ( Event Data ) ( Meta Data ) ( All Data ) ( Model Data ) ( Model Data ) ( Model Data ) – HBase – ElasticSearch – MySQL – Local File System – HDFS – AWS S3

  8. PredictionIO Engine ●Download Engine Template ●Using poi Tool – Build – Updates Engine – Train – Creates Predictive Model – Deploy – As Web Service ●Use Existing Template (or) ●Customize Template (or) ●Build New Template

  9. PredictionIO Engine Development ●Engines Use D-A-S-E components – Data Source / Data Preparator – Algorithm ( ML ) – Serving ( Prediction Queries ) – Evaluation Metrics ( Accuracy ? ) ●Deploy As Web Service ●Serves Apps Via REST API

  10. PredictionIO Engine Development

  11. Available Books ● See “Big Data Made Easy” Apress Jan 2015 – See “Mastering Apache Spark” ● Packt Oct 2015 – See “Complete Guide to Open Source Big Data Stack ● “Apress Jan 2018” – – ● Find the author on Amazon www.amazon.com/Michael-Frampton/e/B00NIQDOOM/ – Connect on LinkedIn ● www.linkedin.com/in/mike-frampton-38563020 –

  12. Connect ● Feel free to connect on LinkedIn –www.linkedin.com/in/mike-frampton-38563020 ● See my open source blog at open-source-systems.blogspot.com/ – ● I am always interested in – New technology – Opportunities – Technology based issues – Big data integration

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