| Name : python3-sklearn-genetic-opt
| |
| Version : 0.9.0
| Vendor : Fedora Project
|
| Release : 1.fc36
| Date : 2022-06-14 21:42:40
|
| Group : Unspecified
| Source RPM : python-sklearn-genetic-opt-0.9.0-1.fc36.src.rpm
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| Size : 0.22 MB
| |
| Packager : Fedora Project
| |
| Summary : Hyperparameters tuning and feature selection
|
Description :
scikit-learn models hyperparameters tuning and feature selection, using
evolutionary algorithms. This is meant to be an alternative to popular
methods inside scikit-learn such as Grid Search and Randomized Grid
Search for hyperparameteres tuning, and from RFE, Select From Model for
feature selection. Sklearn-genetic-opt uses evolutionary algorithms
from the DEAP package to choose the set of hyperparameters that
optimizes (max or min) the cross-validation scores, it can be used
for both regression and classification problems.
|
RPM found in directory: /packages/linux-pbone/archive.fedoraproject.org/fedora/linux/updates/36/Everything/armhfp/Packages/p |
