zhengruifeng commented on pull request #30468: URL: https://github.com/apache/spark/pull/30468#issuecomment-732089234
dataset: [ml-latest/ratings.csv](https://grouplens.org/datasets/movielens/) number of users: 283228 number of items: 53889 number of ratings: 27753444 env: Ubuntu 20.04 blas: f2jBLAS cmd: bin/spark-shell --driver-memory=64G --conf spark.driver.maxResultSize=10g train (in 2.4.7): ``` import org.apache.spark.ml.recommendation._ sc.setLogLevel("OFF") val df = spark.read.option("header", true).option("inferSchema", "true").csv("/d1/Datasets/ml-latest/ratings.csv") df.select(countDistinct("userId"), countDistinct("movieId"), count("rating")).head org.apache.spark.sql.Row = [283228,53889,27753444] val als = new ALS().setMaxIter(1).setUserCol("userId").setItemCol("movieId").setRatingCol("rating") val model = als.fit(df) model.save("/d0/tmp/ml-latest/als-model") ``` test code: ``` import org.apache.spark.ml.recommendation._ sc.setLogLevel("OFF") val model = ALSModel.load("/d0/tmp/ml-latest/als-model") val start = System.currentTimeMillis; model.recommendForAllUsers(10).count model.recommendForAllItems(10).count val end = System.currentTimeMillis; end - start ``` ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
