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From Pat Ferrel <>
Subject Re: PIO + ES5 + Universal Recommender
Date Wed, 01 Nov 2017 23:30:15 GMT
Ack, I hate this &^%&%^&  touchbar!

What I meant to say was:

We have a version of the universal recommender working with PIO-0.12.0 that is ready for brave
souls to test. This includes some speedups and quality of recommendation improvements, not
yet documented. 

Known bugs: exclusion rules not working. This will be fixed before release in the next few

Issues: do not trust the integration test, Lucene and ES have changed their scoring method
and so you cannot compare the old scores to the new ones. The test will be fixed before release
but do trust it to populate PIO with some sample data you can play with.

You must build PredictionIO with the default parameters so just run `./make-distribution`
this will require you to install Scala 2.11, Spark 2.1.1 or greater, ES 5.5.2 or greater,
Hadoop 2.6 or greater. If you have issues getting pio to build and run send questions to the
PIO mailing list. Once PIO is running test with `pio status` and `pio app list`. You will
need to create an app in import your data to run the integration test to get some sample data
installed in the “handmade” app.

*Backup your data*, moving from ES 1 to ES 5 will delete all data!!!! Actually even worse
it is still in HBase but you can’t get at it so to upgrade so the following
`pio export` with pio < 0.12.0 =====*Before upgrade!*=====
`pio data-delete` all your old apps =====*Before upgrade!*=====
build and install pio 0.12.0 including all the services =====*The point of no return!*=====
`pio app new …` and `pio import…` any needed datasets
download and build Mahout for Scala 2.11 from this repo:
<> follow the instructions in the
download the UR from here: <>
and checkout branch 0.7.0-SNAPSHOT
replace the line: `resolvers += "Local Repository" at "file:///Users/pat/.custom-scala-m2/repo”`
<file:///Users/pat/.custom-scala-m2/repo%E2%80%9D%60> with your path to the local mahout
build the UR with `pio build` or run the integration test to get sample data put into PIO

This will use the released PIO and alpha UR

This will be much easier when it’s released
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