问题
i have build recommendations system using Spark with ALS collaboratife filtering mllib
my snippet code :
bestModel.get
.predict(toBePredictedBroadcasted.value)
evrything is ok, but i need change code for fullfilment requirement, i read from scala doc in here
i need to use def recommendProducts
but when i tried in my code :
bestModel.get.recommendProductsForUsers(100)
and error when compile :
value recommendProductsForUsers is not a member of org.apache.spark.mllib.recommendation.MatrixFactorizationModel
[error] bestModel.get.recommendProductsForUsers(100)
maybe anyone can help me
thx
NB : i use Spark 1.5.0
my import :
import com.datastax.spark.connector._
import org.apache.spark.{SparkConf, SparkContext}
import org.apache.spark.SparkContext._
import java.io.File
import scala.io.Source
import org.apache.log4j.Logger
import org.apache.log4j.Level
import org.apache.spark.rdd._
import org.apache.spark.mllib.recommendation.{ALS, Rating, MatrixFactorizationModel}
import org.apache.spark.sql.SQLContext
import org.apache.spark.broadcast.Broadcast
来源:https://stackoverflow.com/questions/33646889/why-recommendproductsforusers-is-not-a-member-of-org-apache-spark-mllib-recommen