Tank you , that's what I want to confirm.
2017-03-16
lk_spark
发件人：Yuhao Yang
发送时间：2017-03-16 13:05
主题：Re: Re: how to call recommend method from ml.recommendation.ALS
收件人："lk_spark"
抄送："任弘迪","user.spark"
This is something that was just added to ML and
amething as mllib when I use ml.
> 2017-03-16
> --
> lk_spark
> --
>
> *发件人：*任弘迪
> *发送时间：*2017-03-16 10:46
> *主题：*Re: how to call recommend method from ml.recommendation.ALS
> *收件人：*"lk_spark"
> *抄送：*
发送时间：2017-03-16 10:46
主题：Re: how to call recommend method from ml.recommendation.ALS
收件人："lk_spark"
抄送："user.spark"
if the num of user-item pairs to predict aren't too large, say millions, you
could transform the target dataframe and save the result to a hive table, t
if the num of user-item pairs to predict aren't too large, say millions,
you could transform the target dataframe and save the result to a hive
table, then build cache based on that table for online services.
if it's not the case(such as billions of user item pairs to predict), you
have to start a
hi,all:
under spark2.0 ,I wonder to know after trained a
ml.recommendation.ALSModel how I can do the recommend action?
I try to save the model and load it by MatrixFactorizationModel but got
error.
2017-03-16
lk_spark
