Key | Value |
---|---|
FileName | ./usr/lib/python3.9/site-packages/sklearn_nature_inspired_algorithms/model_selection/__pycache__/_parameter_search_benchmark.cpython-39.pyc |
FileSize | 1981 |
MD5 | 71B62A2C91B103531EA4848CAA1CC4AF |
SHA-1 | 068218C8A87142176B1BE9A056D59924BD028062 |
SHA-256 | 13D91F47CEE585F1F0C0A9A40127F5C1B3575291ED59EF8A54D943809221E30B |
SSDEEP | 48:QqsGFYEpcVmLUhRfhVVIV1gumIRV5UNtVAhlk7kVkqikVhT+XiVhtiIVpOIexK:1s7y0mLMhVVAmvAK9Ahi7ckqichSahtt |
TLSH | T18A41EEF09D666B6BF8BFF176744F877559744272735D92132C5044674C8BEC18823528 |
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 |