The Altair Community is migrating to a new platform to provide a better experience for you. In preparation for the migration, the Altair Community is on read-only mode from October 28 - November 6, 2024. Technical support via cases will continue to work as is. For any urgent requests from Students/Faculty members, please submit the form linked here
I want to deploy my Rapidminer model to End User Application
inceptorfull
Member Posts: 44 Contributor II
dear all, first I have no idea about programming nor deploying
I created a model so data set entered then processed using stacking including NN and K-nn and get the results, so how to deploy that model to make it end user application so can enter NEW data and get predication? so what should I do as new starter to make such application?
I created a model so data set entered then processed using stacking including NN and K-nn and get the results, so how to deploy that model to make it end user application so can enter NEW data and get predication? so what should I do as new starter to make such application?
Tagged:
0
Answers
sounds like a job for a web service on RM Server
You can pass in data in various formats, e.g. JSON or even Excel files and get the prediction outcome in various formats.
Regards,
Marco
There's some useful videos on Youtube describing how to create one from a process you have made.
you need the Server for that.
Regards,
Marco
I'm not sure, but maybe this post is what you want:
http://rapid-i.com/rapidforum/index.php/topic,5807.0.html
(I'm not sure if it works for RM7.)
Best wishes,
Vaclav
is there a way to import the PMML model then deploy it in standalone java application or any coded application so insert new dataset and get results?
if you have created process (with port connected to the process input) and new Example set, you can process this exampleSet by calling: Vaclav
You build RapidMiner processes using the GUI which stores the workflow as an XML file.
On running a process in RapidMiner the XML is read by the RapidMiner Engine and it follows it as a set of instructions.
For example
- Step 1: Read Data
- Step 2: Train Naive Bayes Model
- Step 3: Read NewData
- Step 4: Apply Model to Data
- Step 5: Store Results
The RapidMiner engine might call many different Java classes to do this. It's extremely difficult and impractical to separate each class out for the specific process you are running.So, the solution is to include RapidMiner as the engine within your java program.
In your Java program you then ask the RapidMiner engine to run the process XML you have created.
This has the advantage that when you need to update your model you just replace the XML with a new one you have created with RapidMiner Studio.
Hope that makes it clearer.
You can get an OEM licence to do this from RM. Play with RM 5.3 to do it in earlier versions.
I believe the Server licencing also covers it too so you can have the option of WebService or Java calls.
thanks a lot
Also the reason Marco & I suggested RapidMiner Server initially is that you don't need to be a programmer to create a deployable process. It's really easy to create WebApps & Web Services which you can call from other applications just by using a URL.
Your users can login to a web interface, upload their data and receive the predictions to download. Really easy to do and no programming required.
what should I do with macro? and thanks for your follow up
have a look at our YT channel: https://www.youtube.com/user/RapidIVideos/videos
This (older) video might still be helpful: https://www.youtube.com/watch?v=SBCUwA6llns
Regards,
Marco