Comments (3)
tilakhere
commented on July 17, 2024
commit f07b4e4
time node left
@lacava please confirm which variance function implementation is corrrect...the one in utils.h...added for these new nodes or the one in node2dguassian.h..
Need to remove the function in node guassian and use the one in utils.h after confirming the correct implementation
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lacava
commented on July 17, 2024
ah. we should remove the one from node2dgasusian.h.
from feat.
tilakhere
commented on July 17, 2024
removed variance() from node2dgausian and used the one in utils.h everywhere
from feat.
Related Issues (20)
- handle depth more accurately
- Custom function HOT 1
- segmentation fault in parallel mode HOT 7
- Logistic regression seems falling HOT 2
- Cartesian Genetic Prog HOT 3
- Memory leak in multiclass HOT 12
- What's the best development method for this package? HOT 2
- The document of install and example is loss. HOT 1
- Operator selection syntax/ issue HOT 8
- Feat.Predict(x) causing Segmentation fault HOT 1
- Propagate feature weights and offsets to leaves of equations when normalize=True
- Double decimal points in coefficient HOT 2
- ModuleNotFoundError: No module named 'feat.pyfeat' HOT 1
- Symbolic model does not evaluate to the same values as `predict` HOT 2
- Could not find id = 5257 in archive. HOT 1
- Installation error HOT 2
- ModuleNotFoundError: No module named 'feat.cyfeat' HOT 2
- will it work on windows comp? HOT 2
- `undefined reference to `memcpy@GLIBC_2.14'` HOT 2
- cannot import name 'convergence' from 'convergence'
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