| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python3-sklearn-nature-inspired-algorithms/examples/notebooks/hyper_parameter_tuning_nia_comparison.ipynb |
| FileSize | 150595 |
| MD5 | D44F181C1D5BE4B34B627CA4DC90B077 |
| SHA-1 | 038DFFE1547E76BEDCA9A517489DAE5BB9EC0870 |
| SHA-256 | 3C7C878F553BE93510E0A19FB4FF200C65CFB5CD321120EA6099DC5BB0135CE5 |
| SSDEEP | 3072:eHyTkpe4HmLrc9+j9wEhWnEMxZmEOyNqleNeYVQLSQf:yk8cHpwEhmrqAjVQO6 |
| TLSH | T13BE3D029D8B45D3285DFD43845A913497633628B4D187C4E3F9C9AAC0F6DA5F0AB83CD |
| 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 |