Factual package intelligence from PyPI
Three-layer Pruning for Nested Cross-Validation to Accelerate Automated Hyperparameter Optimization for Embedded Feature Selection in High-Dimensional Data With Very Small Sample Sizes
pip install cv-pruner
PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.
cv-pruner publishes 1 wheel and 1 source archive for version 0.0.1rc3. Wheel platform tags: any.
Declared Python classifiers: 3.6, 3.7, 3.8, 3.9.
PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .