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>
>
> *From:* Nick Pentreath
> *Sent:* Wednesday, June 26, 2019 9:09 AM
> *To:* user@spark.apache.org
> *Subject:* Re: [EXTERNAL] - Re: Problem with the ML ALS algorithm
>
>
>
> If the number of items is indeed 4, then another issue is the rank of the
> factors def
From: Nick Pentreath
Sent: Wednesday, June 26, 2019 9:09 AM
To: user@spark.apache.org
Subject: Re: [EXTERNAL] - Re: Problem with the ML ALS algorithm
If the number of items is indeed 4, then another issue is the rank of the
factors defaults to 10. Setting the "rank" parameter <
If the number of items is indeed 4, then another issue is the rank of the
factors defaults to 10. Setting the "rank" parameter < 4 will help.
However, if you only have 4 items, then I would propose that using ALS (or
any recommendation model in fact) is not really necessary. There is not
really en
Number of users is 1055
Number of items is 4
Ratings values are either 120, 20, 0
From: Nick Pentreath
Sent: Wednesday, June 26, 2019 6:03 AM
To: user@spark.apache.org
Subject: [EXTERNAL] - Re: Problem with the ML ALS algorithm
This means that the matrix that ALS is trying to factor is not posi
