Friday, September 10, 2004

Data Mining

I have setup Weka and begun working with my LDSM data set. The LDSM dataset is about 15000 records and has a number of attributes. I want to analyze it with Weka and see if I can find anything interesting. I have setup Weka on two computers, but java has run out of memory on both. I believe it is due to the amount of memory that has been allocated to Java, not how much memory each of the computers has.
Attempts at running the suggested command (java -mx100000000 -oss100000000) have been unsucessful thus far.

According to the website the command is used as follows:
Specify the maximum size, in bytes, of the memory allocation pool. This value must a multiple of 1024 greater than 2MB. Append the letter k or K to indicate kilobytes, or m or M to indicate megabytes. The default value is 64MB.

I may simply need to make the number a multiple of 1024. I'll try that next...nope it didn't work.

I tried the following:
C:\>java -Xmx 80m
Invalid maximum heap size: -Xmx
Could not create the Java virtual machine.

C:\>java -Xmx83886080
Usage: java [-options] class [args...]
(to execute a class)
or java [-options] -jar jarfile [args...]
(to execute a jar file)

where options include:
-client to select the "client" VM
-server to select the "server" VM

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