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pylablanche / gcForest

Python implementation of deep forest method : gcForest
MIT License
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Regression variation #9

Open grantwwoodford opened 6 years ago

grantwwoodford commented 6 years ago

Can this library be adapted/technique to do regression? Like the RandomForestRegressor in sklearn.

When the predicted output is of a continuous type this library throws and error.

pylablanche commented 6 years ago

Hi @eyesonlyhack ,

The current implementation is done using RandomForestClassifier and can only be be used for classification so far. I think it would be possible to change the algorithm to make it a regressor although simply replacing the RandomForestClassifier by RandomForestRegressor would not give great results. In addition the Multi-grain scanning part is meant for pictures and would need to be replaced/modified depending on the regression problem. But I think it can be adapted to do regression. Do you a specific application in mind ?

HongjianLi commented 5 years ago

I'm also looking for a regression variant of gcForest. I have a regression problem to work on, hopefully it is possible to use gcForest to train a regressor.

huanghepijiu commented 5 years ago

If there is a Regression version, could you please give me a message, looking forward to your letter, e-mail: 10143895@qq.com

timiderinola commented 4 years ago

I'm also interested in using gcForest for regression. Kindly let me know if you've found a way. Thank you! My email: timiderinola@gmail.com.

@HongjianLi @grantwwoodford @pylablanche @huanghepijiu @MichelleLochner