Simon, is there any documentation available, or more info on PredictionIO? -- Rafal Lukawiecki Pardon brevity, mobile device.
On 1 Aug 2013, at 09:13, "Simon Chan" <[email protected]> wrote: > We are building PredictionIO that helps to handle a number of business > logics. Recommending only items that the user has never expressed a > preference before is supported. > It is a layer on top of Mahout. Hope it is helpful. > > > Simon > > On Wed, Jul 31, 2013 at 4:57 PM, Ted Dunning <[email protected]> wrote: > >> Go with 0.8. Definitely. >> >> Hadoop scaleout should be easy. >> >> >> On Wed, Jul 31, 2013 at 4:19 PM, Rafal Lukawiecki < >> [email protected]> wrote: >> >>> Thank you! >>> >>> In general, should I be putting our efforts into using 0.8 or stick with >>> 0.7 for now, re RecommenderJob? >>> >>> On another note, which might be a different thread, but would you have >> any >>> ready-made accuracy and reliability validation code to suggest when using >>> RecommenderJob, or do I need to stick with predicting from test data/test >>> partitions, and analysing resulting confusion matrices in R etc? Anything >>> turnkey aides to entice new users. >>> >>> Rafal >>> >>> Ps. Another reason for using RJ in our use case is the hopeful, assumed >>> promise of a Hadoop-derived scale-out, when needed in the near future. >>> Mixed results so far on that end. >>> -- >>> Rafal Lukawiecki >>> Pardon my brevity, sent from a telephone. >>> >>> On 1 Aug 2013, at 00:09, "Ted Dunning" <[email protected]> wrote: >>> >>>> On Wed, Jul 31, 2013 at 4:06 PM, Rafal Lukawiecki < >>>> [email protected]> wrote: >>>> >>>>> Many thanks, I'll report the issue, when I figure out where. :) >>>> >>>> I can help with that! >>>> >>>> https://issues.apache.org/jira/browse/MAHOUT >>> >>
