Re: Scientific articles or a Mathematical description

Principal Data Scientist | salesforce.com > Office: 317.832.4404 > Mobile: 317.531.0216 > <http://smart.salesforce.com/sig/atroemner//us_mb_kb/default/link.html> > > On Mon, Apr 23, 2018 at 12:32 PM, GMAIL wrote: > >> Hello. >> Is it possible to find scientific articles or a ma

Scientific articles or a Mathematical description

Hello. Is it possible to find scientific articles or a mathematical description of the work of PredictionIO anywhere? I could not find anything on predictionio.apache.org except for a brief description of the principle of work and deployment documentation.

Re: Recommendation return score more than 5

rative- > filtering.html#explicit-vs-implicit-feedback > > > On Dec 21, 2017, at 11:09 PM, GMAIL wrote: > > I wanted to use the Recomender because I expected that it could predict > the scores as it is done by MovieLens. And it seems to be doing so, but > for some re

Re: Recommendation return score more than 5

to use explicit ALS and tweak the > regularization param, to get the lowest RMSE. I doubt anything will > guarantee them to be in exactly the range of ratings so you’ll then need to > pick the closest rating. > > > On Dec 18, 2017, at 10:42 AM, GMAIL wrote: > > That is, the pred

Re: Recommendation return score more than 5

s implicit and the second is quite unambiguous. > > > On Dec 18, 2017, at 12:32 AM, GMAIL wrote: > > Does it seem to me or UR strongly differs from Recommender? > At least I can't find method getRatings in class DataSource, which > contains all events, in particular, "ra

Re: Recommendation return score more than 5

> Now I use the universal recommender > > On 18 December 2017 at 09:12, GMAIL wrote: > >> And how did you solve this problem? Did you divide prediction score by 2? >> >> 2017-12-18 10:40 GMT+03:00 Noelia Osés Fernández : >> >>> I got the same problem. I

Re: Recommendation return score more than 5

And how did you solve this problem? Did you divide prediction score by 2? 2017-12-18 10:40 GMT+03:00 Noelia Osés Fernández : > I got the same problem. I still don't know the answer to your question :( > > On 17 December 2017 at 14:07, GMAIL wrote: > >> I thought that th

Re: Recommendation return score more than 5

I thought that there was a 5 point scale, but if so, why do I get predictions of 7, 8, etc.? P.S. Sorry for my English. 2017-12-17 16:05 GMT+03:00 GMAIL : > Hi. > I train with Recommendation Engine Template. > I use data from sample_movielens_data.txt and there all score less than 5

Recommendation return score more than 5

Hi. I train with Recommendation Engine Template. I use data from sample_movielens_data.txt and there all score less than 5, but I get prediction with score more than 5. What it meaning?

SparkUncaughtExceptionHandler - ... java.lang.StackOverflowError

Hi. All times, when I try start "pio train", I get this error: https://pastebin.com/ADaM0q1z When I ran it into VirtualBox on my laptop, I thought it was due to lack of resources, but now the server seems to be 16GB and on AWS Amazon (r4.large). What could be the problem? I did everything accordin

Re: Recommended Configuration

c...@gmail.com> написал: > привет) > тебе для чего? то, какие ресурсы нужны, зависит от требований / нагрузки / > объема данных для обучения очень сильно. но минимум - это точно 4 гига на > одну аппу просто для спарка > > 15 дек. 2017 г., в 14:59, GMAIL написал(а): &

Recommended Configuration

Hi. Could you tell me recommended configuration for comfort work PredictionIO Recommender Template. I read that I need 16Gb RAM, but what about the rest (CPU/Storage/GPU(?))? P.S. sorry for my English.

Which template to choose?

Hi, everyone. I first encounter such mailings, so I apologize in advance. Also, English is not my native language, I ask you to forgive me for this too. I want to create a recommendation service based on user ratings and try to select the engine. Users will evaluate the object (movie/book/etc.) on