Pages: [1] 2 3 ... 10
 on: July 28, 2015, 09:30:51 AM 
Started by weewey - Last post by weewey
Hi Marco,

Thanks! I tried it and public sharing is now enabled. Smiley

Is it possible for me to embed the dashboard on my website?

Also tell me what does deploying on production server means? Does it mean that I do not have to execute rapidminer server to execute the process and access the dashboard?

Yew Wee

 on: July 28, 2015, 07:34:03 AM 
Started by arhong - Last post by Marco Boeck

Sorry, I may have confused the folder where to put the extension. It's possible that the folder I mentioned will only be used from 6.5 onward, I'm not entirely sure at the moment. Can you instead put the extension into your Studio/lib/extensions folder?
You should then find the operator in the "operators" view. You can then add it to your process and follow the instructions on how to set up R.
The exact same process can be used for the Python extension as well.


 on: July 28, 2015, 05:55:29 AM 
Started by aruberutou - Last post by aruberutou

This is my first post here, so please pardon any n00bishness.

I have a simple problem, with a potentially simple solution, and I am hoping for some kind help.

For a given example, is there a way to rank word vectors (i.e., sort decreasing) and then generate a new example set with, say:
- row titles "Rank 1", "Rank 2", ... "Rank 10"
- attributes titles corresponding to each example ID
- attribute values corresponding to the word vector titles (original attributes)

I have been trying to use transpose, followed by loop attributes containing: 1) sort (%{loop_attribute}), followed by 2) a generate attribute that copies the ranked words to a new example set as described above. I am stuck, however, at the "generate new example set" part.

This is easy enough in Excel, using the large() function. However, I was hoping to implement in Rapidminer, so as to save some effort.

Apologies if this has already been asked, or if its not as straight-forward as my post assumes.

Thanks in advance,

 on: July 27, 2015, 05:05:24 PM 
Started by arhong - Last post by arhong
The documentation for 'Execute R' specifies that
'Before using this operator you need to specify the path to your R installation under Tools -> Preferences -> R Scripting. Your R installation has to include the 'data.table' package.'.

However, there is no 'R-scripting' tab under Tools -> Preferences in my RapidMiner

 on: July 27, 2015, 05:01:16 PM 
Started by arhong - Last post by arhong
Thanks so much for your prompt response.

I put the 'rmx_r_scripting-ANY-6.4.0' file in the extensions folder. However, still couldn't find 'Execute R' in Rapidminer after re-start.

Do I need to do anything to build the connection between R and Rapidminer?

 on: July 27, 2015, 04:43:05 PM 
Started by arhong - Last post by Marco Boeck

yes, you have to create it in your case.
Python extension:

By the way, in the top right corner of the marketplace is a search field Smiley


 on: July 27, 2015, 04:35:59 PM 
Started by madsurfer - Last post by MBA_Data_Miner
(building on what others have said) You could try an optimize parameters operator around a cross validation ( with the  decision tree inside). Optimize the information gain parameter for starters.

You can add more parameters to optimize, but this will increase compute time exponentially. Experiment and record the settings and results until you get a tree you are satisfied with.


 on: July 27, 2015, 04:08:28 PM 
Started by arhong - Last post by arhong
Thanks for your reply.

I downloaded the rmx_r_scripting-ANY-6.4.0. However, I couldn't find the 'extensions' folder under  USER_HOME/.RapidMiner. Do I need to create one?

I have another question:
Do you have a link to Python extension?

 on: July 27, 2015, 03:42:55 PM 
Started by arhong - Last post by Marco Boeck

with RapidMiner Studio 6.4, we have deprecated the old R extension and released the "R Scripting" extension. You can simply download that from our marketplace:
Then place it in your USER_HOME/.RapidMiner/extensions folder and start Studio again.


 on: July 27, 2015, 02:55:27 PM 
Started by arhong - Last post by arhong
I tried to install R extension through Marketplace, however, that didn't work because of proxy setting.

Then I read something about downloading the jar file from here:
and copying into the 'plugin' folder.

My question is that there are three additional files listed for R extension:, javadoc,zip and installer.exe
Do we need all these four files? Or one jar file is enough?


Pages: [1] 2 3 ... 10