Thank you to Jason Kellogg from SAS Technical Support, SAS On-Demand Enterprise Miner is now running on my Mac using Windows 8.1 with boot camp. Here were his instructions.
The steps are: 1. Download and save jre-6u24-windows-i586.exe. http://www.oracle.com/technetwork/java/javasebusiness/downloads/java-archive-downloads-javase6-419409.html#jre-6u24-oth-JPR 2. Open the Windows Run window and run "C:\users\[userid]\Downloads\jre-6u24-windows-i586.exe" STATIC=1 where [userid] is your user account name 3. Click OK to start the installation 4. After finishing the installation, on the desktop, right click empty area and select “Create Shortcut” (NOTE: on Windows 8.1 this was NEW and then SHORTCUT) 5. In the location, Browse to Desktop and click Next 6. In the next screen provide name of shortcut, for example “Enterprise MinerJWS” 7. Once the shortcut is created, Right Click and select Properties. In the Target enter the following: "C:\Program Files (x86)\Java\jre1.6.0_24\bin\javaws.exe" https://academic93.oda.sas.com/SASEnterpriseMinerJWS/main.jnlp 8. Click Apply You now have a clickable shortcut to Enterprise Miner. Please use it when starting Enterprise Miner.
This worked and I now have SAS Enterprise Miner working on my laptop, which is going to be extremely convenient.
PLEASE NOTE THAT ALL OF THE QUOTATION MARKS NEED TO BE THERE OR IT WILL GIVE YOU AN ERROR.
ALSO, under #7 that is all one command. I had to break into two lines on this blog to be legible.
Although it was still a huge pain in the ass to get started, it is leaps and bounds ahead of the first time I tried Enterprise Miner years ago.
Back then, it required back flips and sacrificing a chicken (okay, finding a machine running Windows XP, installing a bunch of files – just take my word it was a pain in the ass). As for the on-demand version, it was so slow as to be useless.
In contrast, once I got up and running, it was not bad at all, and that was running off the wireless in the office. Now, our internet speed is good here, so your mileage may vary, but at least under good conditions it runs fine using a small dataset.
So, I just uploaded a dataset with 10,000 records and 6,000 variables. We’ll see what it does with that.
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