Hi, I want to know about your moving avg implementation. I am also doing some time-series analysis about CPU performance. So I tried simple regression but result is not good. rmse is 10 but when I extrapolate it just shoot up linearly. I think I should first smoothed out the data then try regression to forecast. i am thinking of moving avg as an option,tried it out according to this http://stackoverflow.com/questions/23402303/apache-spark-moving-average
but "partitionBy" is giving me error, I am building with Spark 1.2.0. Can you share your ARIMA implementation if it is open source, else can you give me hints about it Will really appreciate the help. Thanks -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Window-comparison-matching-using-the-sliding-window-functionality-feasibility-tp15352p21458.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
