Comments (7)
hello. i haven't seen this error before, and yes, it appears to come from pandas. can you provide a minimum working example so i can debug?
from feat.
Using 0.5 version:
Just basic code also failed.
X = np.random.rand(100,10)
y = np.random.rand(100)
y = [ 1 if t > 0.5 else 0 for t in y ]
fest = Feat(pop_size=10, n_jobs= 5 )
fest.fit(X_t,y_t)
Maybe due to compilation
I just compile with
./install
without any flag
from feat.
Maybe due to compilation
I just compile with./install
without any flag
that should work. I'm looking into it now.
from feat.
from feat.
I think gcc 4.8 might be the issue. Can you try GCC > 5.2? I've compiled it on CenOS with 5.2 and on Ubuntu 16-18 with gcc 5.4 - gcc 7. I just ran the example without any issues.
from feat.
from feat.
You may be able to use conda: https://anaconda.org/3dhubs/gcc-5
from feat.
Related Issues (20)
- handle depth more accurately
- Custom function HOT 1
- 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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from feat.