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RapidMiner and Python
Run Python code within a RapidMiner process
RapidMiner provides the Python Scripting extension, including the Operator Execute Python, so that you can run Python code within a RapidMiner process. The popular Python library pandas handles the ExampleSets as DataFrame objects.
Read more: Install the Python Scripting extension:
Call RapidMiner Studio from Python
RapidMiner provides an open source Python library so that you can call RapidMiner Studio from Python. You can interact with a repository you have defined in Studio and run processes locally as well.
The following code snippet demonstrates how easy it is to start RapidMiner Studio using the library. To learn more, see the API documentation of the package on GitHub.
import rapidminer
rm = rapidminer.Studio()
myinput = rm.read_resource("//Local Repository/data/myinput")
training_dataset_sample = rm.run_process("//Local Repository/processes/preprocess", inputs=[myinput])
Make sure you have the Python Scripting extension downloaded from the Marketplace and installed.
RapidMiner and Python: table of contents
RapidMiner users: run Python code within a RapidMiner process
Python developers: call RapidMiner from Python
- call RapidMiner Studio
- call RapidMiner Server
- call a Real-Time Scoring Agent
The above documents include code snippets showing how easy it is to use the Python library rapidminer.
To learn more, see the API documentation of the package on GitHub .