Re: ALS predictALL not completing
So to be clear, you're trying to use the recommendProducts method of MatrixFactorizationModel? I don't see predictAll in 1.3.1 1.4.0 has a more efficient method to recommend products for all users (or vice versa): https://github.com/apache/spark/blob/v1.4.0/mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala#L152 On Tue, Jun 16, 2015 at 4:30 PM, Ayman Farahat ayman.fara...@yahoo.com wrote: This is 1.3.1 Ayman Farahat -- View my research on my SSRN Author page: http://ssrn.com/author=1594571 -- *From:* Nick Pentreath nick.pentre...@gmail.com *To:* user@spark.apache.org user@spark.apache.org *Sent:* Tuesday, June 16, 2015 4:23 AM *Subject:* Re: ALS predictALL not completing Which version of Spark are you using? On Tue, Jun 16, 2015 at 6:20 AM, afarahat ayman.fara...@yahoo.com wrote: Hello; I have a data set of about 80 Million users and 12,000 items (very sparse ). I can get the training part working no problem. (model has 20 factors), However, when i try using Predict all for 80 Million x 10 items , the jib does not complete. When i use a smaller data set say 500k or a million it completes. Any ideas suggestions ? Thanks Ayman -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/ALS-predictALL-not-completing-tp23327.html Sent from the Apache Spark User List mailing list archive at Nabble.com. - To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
Re: ALS predictALL not completing
This is 1.3.1 Ayman Farahat -- View my research on my SSRN Author page: http://ssrn.com/author=1594571 From: Nick Pentreath nick.pentre...@gmail.com To: user@spark.apache.org user@spark.apache.org Sent: Tuesday, June 16, 2015 4:23 AM Subject: Re: ALS predictALL not completing Which version of Spark are you using? On Tue, Jun 16, 2015 at 6:20 AM, afarahat ayman.fara...@yahoo.com wrote: Hello; I have a data set of about 80 Million users and 12,000 items (very sparse ). I can get the training part working no problem. (model has 20 factors), However, when i try using Predict all for 80 Million x 10 items , the jib does not complete. When i use a smaller data set say 500k or a million it completes. Any ideas suggestions ? Thanks Ayman -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/ALS-predictALL-not-completing-tp23327.html Sent from the Apache Spark User List mailing list archive at Nabble.com. - To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
Re: ALS predictALL not completing
Which version of Spark are you using? On Tue, Jun 16, 2015 at 6:20 AM, afarahat ayman.fara...@yahoo.com wrote: Hello; I have a data set of about 80 Million users and 12,000 items (very sparse ). I can get the training part working no problem. (model has 20 factors), However, when i try using Predict all for 80 Million x 10 items , the jib does not complete. When i use a smaller data set say 500k or a million it completes. Any ideas suggestions ? Thanks Ayman -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/ALS-predictALL-not-completing-tp23327.html Sent from the Apache Spark User List mailing list archive at Nabble.com. - To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
ALS predictALL not completing
Hello; I have a data set of about 80 Million users and 12,000 items (very sparse ). I can get the training part working no problem. (model has 20 factors), However, when i try using Predict all for 80 Million x 10 items , the jib does not complete. When i use a smaller data set say 500k or a million it completes. Any ideas suggestions ? Thanks Ayman -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/ALS-predictALL-not-completing-tp23327.html Sent from the Apache Spark User List mailing list archive at Nabble.com. - To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
