Comments (3)
Hi Thang,
Thanks for reaching out.
Currently, Py_FS does not allow any default regression function because that's how our objective function is defined. But, applying it to regression problems won't be difficult. You need to pass your regression objective function as a parameter while calling any algorithm from our framework. And when it asks for classification weightage, you need to provide the regression weightage. If you want, I can help you design the obj_function.
We are also coming up with a lot of updates to make it user-friendly.
Ritam
from py_fs.
Hi Ritam-Guha,
It would be great if you can spend your time on designing the obj_function for regression problems. We are happy to use the Py_FS with our dataset for the feature selection. In addition, would you consider to add the Harris Hawk Optimization (HHO) into the Py_FS in the near future?
Many thanks,
Thang
from py_fs.
Hey Thang,
Sorry for the delayed response. I was quite busy over the past few months and could not work on this package. But, we are planning to add HHO to Py_FS.
from py_fs.
Related Issues (12)
- Make test size a keyword argument HOT 2
- Trying to import MF from Py_FS.wrapper.nature_inspired raises ImportError HOT 2
- Number of Features HOT 1
- Metrics Related HOT 2
- Regarding Filter method HOT 3
- LICENSE text HOT 3
- Feature request: SISSO HOT 1
- No module named 'ReliefF'
- cannot import name 'plot_confusion_matrix' HOT 2
- Unable to use SCC or PCC HOT 3
- New dataset contribution HOT 1
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