Re: Date Time Regression as Feature

Here's a good blog post by Sandy Ryza @ Cloudera on Spark + Time Series Data: http://blog.cloudera.com/blog/2015/12/spark-ts-a-new-library-for-analyzing-time-series-data-with-apache-spark/ Might give you some things to try. On Thu, Jan 7, 2016 at 11:40 PM, dEEPU wrote: >

Re: Date Time Regression as Feature

Or he can also transform the whole date into a string On Thursday, January 7, 2016 2:25 PM, Sujit Pal wrote: Hi Jorge, Maybe extract things like dd, mm, day of week, time of day from the datetime string and use them as features? -sujit On Thu, Jan 7, 2016 at

Re: Date Time Regression as Feature

First extracting year, month, day, time from the datetime. Then you should decide which variables can be treated as category features such as year/month/day and encode them to boolean form using OneHotEncoder. At last using VectorAssembler to assemble the encoded output vector and the other raw

Re: Date Time Regression as Feature

Maybe u want to convert the date to a duration in form of number of hours/days and then do calculation on it On Jan 8, 2016 12:39 AM, Jorge Machado wrote: Hello all, I'm new to machine learning. I'm trying to predict some electric usage with a decision Free The

Date Time Regression as Feature

Hello all, I'm new to machine learning. I'm trying to predict some electric usage with a decision Free The data is : 2015-12-10-10:00, 1200 2015-12-11-10:00, 1150 My question is : What is the best way to turn date and time into feature on my Vector ? Something like this : Vector (1200,