Re: HBASE problems: ZooKeeper exists failed after 1 attempts ???

untu/.pio_store/models, TYPE -> localfs Source Name: HBASE; Type: hbase; Configuration: TYPE -> hbase, HOME -> /home/ubuntu/PredictionIO/apache-predictionio-0.12.0-incubating/PredictionIO-0.12.0-incubating/vendors/hbase-1.2.6 On Thu, 24 Jan 2019 at 12:56, Noelia Osés Fernández wrote: >

HBASE problems: ZooKeeper exists failed after 1 attempts ???

Hi all, A few months back I set up a recommendation app using PredictionIO 0.12.0_incubating and UR 0.7.0-SNAPSHOT with elasticsearch 5.6.3, hbase 1.2.6, spark 2.1.1_bin_hadoop2.6 and mahout. It was working correctly and producing results. Then I stopped the AWS server where it was running for a

Re: Need Help Setting up prediction IO

I've gotten this error when I've run pio build in a folder with no engine.json file. Have you checked you are running the command in the right folder? i.e. a folder that has an engine.json file... Regards, Noelia On 10 January 2018 at 07:34, Rajesh Jangid wrote: > Hi, >I have been trying t

Re: Error: "unable to undeploy"

) will change recommendations > automatically > > 14 дек. 2017 г., в 17:56, Noelia Osés Fernández > написал(а): > > Hi, > > The first time after reboot that I train and deploy my PIO app everything > works well. However, if I then retrain and deploy again, I get the > followi

Re: App still returns results after pio app data-delete

from working. The UR > maintain’s one live copy of the model and removes old ones after a new one > is made live so there will only ever be one model (unless you have changed > your indexName often) > > > On Dec 21, 2017, at 4:58 AM, Noelia Osés Fernández > wrote: > > Hi all! >

Re: Recommendation return score more than 5

always warn people >>>> about using ratings, which have been discontinued as a source of input for >>>> Netflix (who have removed them from their UX) and many other top >>>> recommender users. There are many reasons for this, not the least of which >>>

How to import item properties dynamically?

Hi all, I have a pio app and I need to update item properties regularly. However, not all items will have all properties always. So I want to update the properties dynamically doing something similiar to the following: # create properties json propertiesjson = '{'

App still returns results after pio app data-delete

Hi all! I have executed a pio app data-delete MyApp. The command has outputted the following: [INFO] [HBLEvents] Removing table pio_event:events_4... [INFO] [App$] Removed Event Store for the app ID: 4 [INFO] [HBLEvents] The table pio_event:events_4 doesn't exist yet. Creating now... [INFO] [App$

Re: Recommendation return score more than 5

> After that es considers it as a document with your query items (its text > content) and finds nearest neighbors from texts distance (tf-idf). > the resulting score is just texts similarity from es > > On Dec 18, 2017 11:14 AM, "Noelia Osés Fernández" > wrote: > >&

Re: Recommendation return score more than 5

I didn't solve the problem :( 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.

Re: Error: "unable to undeploy"

Great! Thank you, Phong On 15 December 2017 at 16:47, VI, Tran Tan Phong wrote: > Hi Noelia, > > > > Yes of course, simply by using another port, for example 8001. > > > > Phong > > > > *De :* Noelia Osés Fernández [mailto:no...@vicomtech.org] > *E

Re: Recommendation return score more than 5

T+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, but I get prediction with score more than 5. >> What it meaning? >> > > -- <http://www.vicomtech.or

Re: Error: "unable to undeploy"

онов > wrote: > >> Yes, pio deploy runs a few processes (usually 2) >> Just kill all of them :) usually every of them falls after killing at >> least one >> >> 14 дек. 2017 г., в 18:42, Noelia Osés Fernández >> написал(а): >> >> >> Hi Phong

Re: Error: "unable to undeploy"

all of them :) usually every of them falls after killing at > least one > > 14 дек. 2017 г., в 18:42, Noelia Osés Fernández > написал(а): > > > Hi Phong, > > I have tried your suggestion but I get a few different hits. > > noelia > > On 14 December 2017 at 16:

Re: Error: "unable to undeploy"

Hi Phong, I have tried your suggestion but I get a few different hits. noelia On 14 December 2017 at 16:28, VI, Tran Tan Phong wrote: > Hi Noelia, > > > > Why don’t you try to identify the process by “ps -ef |grep 8000” then > simply kill it? > > > > Phong > &

Re: Error: "unable to undeploy"

ine.json for another app and do `pio deploy —port` with > different port again > train should be done the same way > > 14 дек. 2017 г., в 18:16, Noelia Osés Fernández > написал(а): > > Just one more question :) > > Is it possible to deploy more than one app in a single PI

Re: Error: "unable to undeploy"

cces (ran by pio deploy) will change recommendations > automatically > > 14 дек. 2017 г., в 17:56, Noelia Osés Fernández > написал(а): > > Hi, > > The first time after reboot that I train and deploy my PIO app everything > works well. However, if I then retrain and deplo

Re: Error: "unable to undeploy"

дек. 2017 г., в 17:56, Noelia Osés Fernández > написал(а): > > Hi, > > The first time after reboot that I train and deploy my PIO app everything > works well. However, if I then retrain and deploy again, I get the > following error: > > [INFO] [MasterActor] Undep

Error: "unable to undeploy"

Hi, The first time after reboot that I train and deploy my PIO app everything works well. However, if I then retrain and deploy again, I get the following error: [INFO] [MasterActor] Undeploying any existing engine instance at http://0.0.0.0:8000 [ERROR] [MasterActor] Another process might be occ

Re: How can I limit RAM usage?

I should mention that when I reboot the server and before I start PIO 3GB of RAM are already used, so there is only 1GB free RAM for PIO. On 13 December 2017 at 13:08, Noelia Osés Fernández wrote: > > Hi all, > > I have a cloud server with 4GB RAM in which I have installed

How can I limit RAM usage?

Hi all, I have a cloud server with 4GB RAM in which I have installed PIO 0.12.0-incubating and a few other things. However, I'm having trouble running even the smallest examples as it runs out of RAM (plus the swap is also full). I have set a limit for ES in jvm.options as follows: -Xms512m -Xmx5

Re: User features to tailor recs in UR queries?

> it figure out whether and indicator matters. And always remember that > indicators apply to users, filters and boosts apply to items and known > properties of items. It may seem like genre is both a user taste indicator > and an item property but if you input them in 2 ways they can be

User features to tailor recs in UR queries?

Hi all, I have seen how to use item properties in queries to tailor the recommendations returned by the UR. But I was wondering whether it is possible to use user characteristics to do the same. For example, I want to query for recs from the UR but only taking into account the history of users th

Re: To update app, train+deploy or build-train-deploy?

usly. > Dont forget to run `pio train` in the same dir where you do `pio deploy`, > the same `pwd` is necessary to swap the same alias > > > 4 дек. 2017 г., в 12:36, Noelia Osés Fernández > написал(а): > > > > Hi all, > > > > I have created an app using Actio

To update app, train+deploy or build-train-deploy?

Hi all, I have created an app using ActionML's UR and Prediction IO trained with some initial data. Now, as users interact with the ecomm website, I will have more data to train the app. Once a week I will take all the new data from the last week and retrain the app. Which is the correct way to

Re: universal recommender evaluation

Hi Hongyao, I know other templates have custom implemented evaluation code in the src/main/scala/Evaluation.scala file. They use a cross-validation approach similar to what you describe. You can download one of those templates and look at the code to see exactly how they do it. I have been lookin

Re: Which template for predicting ratings?

much! On 14 November 2017 at 16:45, Noelia Osés Fernández wrote: > Thanks Pat. > > I am now using the Recommendation template (http://predictionio. > incubator.apache.org/templates/recommendation/quickstart/) ( > https://github.com/apache/incubator-predictionio-template-recommende

Re: Log-likelihood based correlation test?

veral benefits over pure cosines (it actually consists of > adjustments to cosine) and we also use norms. With ES 5 we should see > quality improvements due to this. https://www.elastic.co/ > guide/en/elasticsearch/guide/master/pluggable-similarites.html > > > > On Nov 21,

Re: "pio app delete" breaks my PIO installation

; What event storage backend are you using? Is the backend storage stuck? > This could happen very often with a local, single-node HBase installation. > > Regards, > Donald > > On Mon, Nov 13, 2017 at 7:51 AM, Noelia Osés Fernández < > no...@vicomtech.org> wrote: > >> I

Re: "pio app delete" breaks my PIO installation

Nov 21, 2017, at 11:44 AM, Donald Szeto wrote: > > Hey Noelia, > > What event storage backend are you using? Is the backend storage stuck? > This could happen very often with a local, single-node HBase installation. > > Regards, > Donald > > On Mon, Nov 13, 2017 at 7:

Re: Log-likelihood based correlation test?

ve >> Elasticsearch is used instead of "resulting LLR is what goes into the AB >> element in matrix PtP or PtL." >> >> By default the strongest 50 LLR scores get set as searchable values in >> Elasticsearch per item-event pair. >> >> You can co

Re: Log-likelihood based correlation test?

by inspecting the the ElasticSearch index that gets > created because it has the "significant" values populated in the documents > (though not the actual LLR scores). > > On Mon, Nov 20, 2017 at 7:22 AM Noelia Osés Fernández > wrote: > >> This thread is very enlig

Re: Log-likelihood based correlation test?

ticsearch per item-event pair. >> >> You can configure the thresholds for significance using the configuration >> parameters: maxCorrelatorsPerItem or minLLR. And this configuration is >> important because at default of 50 you may end up treating all "indicator >&g

Re: Log-likelihood based correlation test?

L. Correct? Thank you! On 16 November 2017 at 17:03, Noelia Osés Fernández wrote: > Wonderful! Thanks Daniel! > > Suneel, I'm still new to the Apache ecosystem and so I know that Mahout is > used but only vaguely... I still don't know the different parts well enough > t

Re: Log-likelihood based correlation test?

te Methods for the Statistics of Surprise and Coincidence >> by Ted Dunning >> >> http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.5962 >> >> >> On Thu, Nov 16, 2017 at 10:26 AM Noelia Osés Fernández < >> no...@vicomtech.org> wrote: >> >

Log-likelihood based correlation test?

Hi, I've been trying to understand how the UR algorithm works and I think I have a general idea. But I would like to have a *mathematical description* of the step in which the LLR comes into play. In the CCO presentations I have found it says: (PtP) compares column to column using *log-likelihood

Re: Which template for predicting ratings?

is dislike, and 4-5 is > like. > > These are treated as indicators and will produce a score from the > recommender but these do not relate to 1-5 scores. > > If you need to predict what the user would score an item MLlib ALS > templates will do it. > > > > On Nov 13,

Re: "pio app delete" breaks my PIO installation

I forgot to mention that *pio status* reports my system is all ready to go :( but it isn't true. I can't import the data. On 13 November 2017 at 16:47, Noelia Osés Fernández wrote: > Hi, > > It has happened several times already that after I execute: > > *pio app d

"pio app delete" breaks my PIO installation

Hi, It has happened several times already that after I execute: *pio app delete appname* my PIO installation breaks. Does anybody else have this problem? Particularly, this time I get the following error during data import: Traceback (most recent call last): File "data/import_eventserver.py"

Re: Which template for predicting ratings?

ata from a public web site to > show significant lift by using “like” and “dislike” in recommendations. > This used the Universal Recommender. > > > On Nov 10, 2017, at 5:02 AM, Noelia Osés Fernández > wrote: > > > Hi all, > > I'm new to PredictionIO so I apologise if

Which template for predicting ratings?

Hi all, I'm new to PredictionIO so I apologise if this question is silly. I have an application in which users are rating different items in a scale of 1 to 5 stars. I want to recommend items to a new user and give her the predicted rating in number of stars. Which template should I use to do thi

Re: PIO + ES5 + Universal Recommender

It worked! Thank you Pat! On 8 November 2017 at 17:52, Pat Ferrel wrote: > “mvn not found”, install mvn. > > This step will go away with the next Mahout release. > > > On Nov 8, 2017, at 2:41 AM, Noelia Osés Fernández > wrote: > > Thanks Pat! > > I have

Re: PIO + ES5 + Universal Recommender

Thanks a lot for all your invaluable help!! On 7 November 2017 at 20:58, Pat Ferrel wrote: > Very sorry, it was incorrectly set to private. Try it again. > > > > > On Nov 7, 2017, at 7:26 AM, Pat Ferrel wrote: > > https://github.com/actionml/mahout > > >

Re: PIO + ES5 + Universal Recommender

ser/326BE669-574B-45A5-AAA5-6A285BA0B33E% > 40occamsmachete.com > <https://groups.google.com/d/msgid/actionml-user/326BE669-574B-45A5-AAA5-6A285BA0B33E%40occamsmachete.com?utm_medium=email&utm_source=footer> > . > For more options, visit https://groups.google.com/d/optout. &g

Re: Error while building E-Commerce Recommendation engine with PIO 0.12.0-incubating

fine. > I use it. > > When you get the error try `pio build --clean --verbose` to get a full > report of the error. > > > On Oct 31, 2017, at 7:20 AM, Noelia Osés Fernández > wrote: > > Could this error be happening because of the following? > > I've reinstal

Re: Error while building E-Commerce Recommendation engine with PIO 0.12.0-incubating

oop2.6.tgz$ tar zxvfC spark-2.1.1-bin-hadoop2.6.tgz PredictionIO-0.12.0-incubating/vendors Could this be the cause of the error mentioned in my previous email? Any help will be much appreciated. Noelia On 25 October 2017 at 11:27, Noelia Osés Fernández wrote: > Hi all, > > I&#x

Error while building E-Commerce Recommendation engine with PIO 0.12.0-incubating

Hi all, I've just installed PIO 0.12.0-incubating and I'm trying to run the e-com recommender engine using E-Commerce Recommendation template to test that everything is working well on a cloud server. However, while I'm

Re: PIO 0.12.0 on cloud server: ImportError: No module named predictionio

I fixed the locale error with: export LC_ALL=C On 24 October 2017 at 09:39, Noelia Osés Fernández wrote: > Donald, > > I followed your instructions and I got the following error message: > > $ pip install predictionio > Traceback (most recent call last): > File "

Re: PIO 0.12.0 on cloud server: ImportError: No module named predictionio

dictionio`. > > Regards, > Donald > > On Mon, Oct 23, 2017 at 7:50 AM Noelia Osés Fernández > wrote: > >> Hi all, >> >> I have made a clean installation of Prediction IO 0.12.0 on a cloud >> server following all the installation defaults. The insta

Re: PIO 0.12.0 on cloud server: ImportError: No module named predictionio

If you can point us to the > material you are following we can fix it. > > For now please do `pip install predictionio`. > > Regards, > Donald > > On Mon, Oct 23, 2017 at 7:50 AM Noelia Osés Fernández > wrote: > >> Hi all, >> >> I have made a clean i

PIO 0.12.0 on cloud server: ImportError: No module named predictionio

Hi all, I have made a clean installation of Prediction IO 0.12.0 on a cloud server following all the installation defaults. The installation seemed to go well and pio status reported no errors. However, when I ran the UR's handmade's integration test I got the following error message: Checking st

Re: [ERROR] [TaskSetManager] Task 2.0 in stage 10.0 had a not serializable result

the real world (caused by promotions, > give-aways, other anomalous outside influences). This statistical method is > called the log likelihood ratio. > > On Oct 20, 2017, at 12:17 AM, Noelia Osés Fernández > wrote: > > Thanks for the explanation, Pat! > > I think th

Re: [ERROR] [TaskSetManager] Task 2.0 in stage 10.0 had a not serializable result

nly > be recommended by “popularity” since they have no cooccurrence. > > > > On Oct 19, 2017, at 1:28 AM, Noelia Osés Fernández > wrote: > > Pat, this worked! Thank you very much > > The only odd thing now is that all the results I get now are 0s. For > examp

Re: [ERROR] [TaskSetManager] Task 2.0 in stage 10.0 had a not serializable result

pularity > based backfill, must add eventsNames", > "name": "ur", > "params": { > "appName": "TinyApp", > "indexName": "urindex", > "typeName": "items",

Re: Recommendation template

lt stack, which is Scala 2.11. > > The only difference between these two template versions is targeting > different PIO versions. There is no feature difference. > > Regards, > Donald > > On Wed, Oct 18, 2017 at 8:14 AM Noelia Osés Fernández > wrote: > >> Hi all