Hello, I am following the Movies recommendation with MLlib tutorial (https://databricks-training.s3.amazonaws.com/movie-recommendation-with-mllib.html). However, I get RMSE that are much larger than what's written at step 7: The best model was trained with rank = 8 and lambda = 1.0, and numIter = 10, and its RMSE on the test set is 1.357078. instead of The best model was trained using rank 8 and lambda 10.0, and its RMSE on test is 0.8808492431998702.
Is it a mistake on the tutorial or am I doing something wrong? Thank you -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Movie-Recommendation-tutorial-tp21769.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
