BookmarkSubscribeRSS Feed
emmaadiosyahoo
Calcite | Level 5

 

Please the following error was encountered when running StatExplore node on a data with 10 variables including the target variable in SAS MINER via SAS ON DEMAND FOR ACADEMICS. Urgent help needed so that I can complete my modelling.

 

ERROR: PROC ARBORETUM needs at least 8258396524 bytes of RAM memory for this problem. Only 3408015360 bytes available.
ERROR: Ignoring ASSESS statement.
11534  SUBTREE BEST;
WARNING: SUBTREE statement ignored. Type RUN; to continue running the  procedure or QUIT; to stop.
11535  save RULES=WORK.Stat_RULE;
WARNING: SAVE statement ignored. Type RUN; to continue running the  procedure or QUIT; to stop.
11536  run;
11537  quit;
WARNING: The data set WORK.STAT_RULE may be incomplete.  When this step was stopped there were 0 observations and 0 variables.
*------------------------------------------------------------*
*
* ERROR: Run time error was encountered.  The system error returned was 1012.
* Please report unresolved problems to Technical Support.
*

1 REPLY 1
RobWobDobBlobb
Fluorite | Level 6

Hi emmaadiosyahoo,

 

ERROR: PROC ARBORETUM needs at least 8258396524 bytes of RAM memory for this problem. Only 3408015360 bytes available.

 

The procedure ARBORETUM needs at least 8.26 GB of RAM in order to run but you only have 3.41 GB of RAM (running on a toaster?). If you're running it on a server, try to get a more powerful node. If you're running it locally ob your machine, try to stop other processes (programs like e-mail etc) and allow SAS to use more of your RAM.

 

Alternatively you can try to load a subset of your data and explore that. 

Ready to join fellow brilliant minds for the SAS Hackathon?

Build your skills. Make connections. Enjoy creative freedom. Maybe change the world. Registration is now open through August 30th. Visit the SAS Hackathon homepage.

Register today!
How to choose a machine learning algorithm

Use this tutorial as a handy guide to weigh the pros and cons of these commonly used machine learning algorithms.

Find more tutorials on the SAS Users YouTube channel.

Discussion stats
  • 1 reply
  • 1077 views
  • 0 likes
  • 2 in conversation