| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.9/site-packages/sklearn_nature_inspired_algorithms/model_selection/_stagnation_stopping_task.py |
| FileSize | 1986 |
| MD5 | 694405D0F2B1FD1E4AAD6D340A8A6FB7 |
| SHA-1 | 0F4DEB0363CC02F66208FBEA20EAF507360C84BE |
| SHA-256 | C308825DEF121E4B191E5A57CCA14B26697352D4D65FC9003DDC52014E1B938B |
| SSDEEP | 48:tfv1uk+ECYiGSTb89eiblxq6mlYuoS/kyNnRNydAroB:tfv1AGSTb89eilxq6mVoS8UHeAroB |
| TLSH | T1EA41392256064839D397A8A6418A6017677EFC4F6D0D1168FCFEC142FF6367A43E2EB4 |
| hashlookup:parent-total | 1 |
| hashlookup:trust | 55 |
The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| MD5 | 7D583D64E16FFB7EEECA2B6103DDBB85 |
| PackageArch | noarch |
| PackageDescription | Nature inspired algorithms for hyper-parameter tuning of scikit-learn models. This package uses algorithms implementation from NiaPy. Documentation is available at: https://sklearn-nature-inspired-algorithms.readthedocs.io/en/stable/ |
| PackageMaintainer | Fedora Project |
| PackageName | python3-sklearn-nature-inspired-algorithms |
| PackageRelease | 4.fc34 |
| PackageVersion | 0.4.6 |
| SHA-1 | 135D3A3375089ED9D7AD8D68D1E9F6C8DEBFE15C |
| SHA-256 | B73C6BFB2162F561F48ACA44B407B1F59CC1FDDE4ABB2F1AD17A3D4E95313E88 |