How to import a random forest regression model (made with sklearn (scikit-learn) in python) into Simulink?

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Cavalle
Cavalle 2023-2-27
编辑： Surya 2023-4-20
Hi, I created a random forest regression model in python using sklearn with the following function:
https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestRegressor.html#sklearn.ensemble.RandomForestRegressor
Now, I need to implement this model in Simulink for further use, I tried to save the files with Joblib, ONNX and HDF5 files in python, read these files in MATLAB and then implement it in Simunlink as an LTI-system but with no succes.
Joblib: https://scikit-learn.org/stable/model_persistence.html
used py.pickle.load(py.open('Filename.sav','rb'))
ONNX: https://onnx.ai/sklearn-onnx/
used importONNXNetwork('Filename.onnx')
HDF5: https://calmcode.io/scikit-save/h5.html
https://www.mathworks.com/help/matlab/hdf5-files.html
Any Idea how to import a model created with sklearn in python into Simulink?
Thanks in advance

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回答（1 个）

Surya
Surya 2023-4-20
编辑：Surya 2023-4-20
Hi,
You can make use of MATLAB Python interface. check
You can create a MATLAB function block in Simulink and use python commands directly in the function.
Example MATLAB funtion (For training):
regressor = py.sklearn.ensemble.RandomForestRegressor(n_estimators=100, random_state=0)
regressor.fit(x, y)
py.joblib.dump(regressor, "./random_forest.joblib")
Example MATLAB funtion (For loading the model):
loaded_rf = py.joblib.load("./random_forest.joblib")
For this to work, you need python installed in you system which is compatible with MATLAB. check compatibility
Install required libraries in Python using pip.
Hope it helps.

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