Comments (6)
from feat.
we need these get functions to return the settings of the algorithm that are stored in the Parameters object. so we need get functions for:
- pop_size
- gens
- ml
- classification
- max_stall
- otype
- verbosity
- max_depth
- max_size
- max_dim
- erc
- num_features
we don't need get functions to return pointers to the other class objects. Sorry if this was unclear.
from feat.
commit cc9bcc8
from feat.
do we need getter functions for newly added parameters in params?
from feat.
from feat.
added getter functions for params.shuffle and params.split commit 313457f
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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from feat.