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 |
hashlookup:children-total | 25 |
hashlookup:trust | 50 |
The searched file hash includes 25 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | snap-hashlookup-import/lib/python3.12/site-packages/url_normalize-1.4.3.dist-info/WHEEL |
FileSize | 87 |
MD5 | 9F09417D48BB4FC5ED6462BA7A371D05 |
RDS:package_id | 294806 |
SHA-1 | 034BAED26BCD7B2EDCADCACBCA1719C4F41DC6C9 |
SHA-256 | D92C934BAFA15956C2561C693E8D63E5FF60C1A5B0FA154826CD2CFDC0BC3173 |
SHA-512 | 19127D88D29AD1AFABC6F3FEF0AE748DC2F68C292DF58DA9F05AC68459EB89796B8ABE51EC9A4520488C38ADDEF0EF1095120F3E6637F04A0392C3AB23D21EE8 |
SSDEEP | 3:RtEeXLRd3hP+tPCCf9PLVI:RtLdxWBB12 |
TLSH | T16FB01218014014F44050FE434034A2242620C5055869506F944112855985F4506C8E66 |
insert-timestamp | 1728967732.8103511 |
mimetype | text/plain |
source | snap:BYa8IlUQqqTyhwCjoPWb8Pf2ZaBKQdSv_629 |
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 |
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 |
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 |
Key | Value |
---|---|
FileName | usr/lib/python3.12/site-packages/sklearn_nature_inspired_algorithms-0.12.0.dist-info/LICENSE |
FileSize | 1069 |
MD5 | 5F0B898E92BB144DA38E725CD615EC48 |
SHA-1 | 1ECFA34BE779B0852D9DC5FF8F05BD634BEC6C77 |
SHA-256 | C2C6F11E596106B8792814A197034540E1427C302767CA11BE2F366ECA042193 |
SSDEEP | 24:+IrmJHHH0yN3gtsHw1hC09QHOsUv4eOk4/+/m3oqLFJ:raJHlxE3dQHOs5exm3ogFJ |
TLSH | T1E511821E72550BA218AA13A05A78A8C5F23BB25F7A5F2A84246DF201232A06CC5FB840 |
tar:gname | root |
tar:uname | root |
Key | Value |
---|---|
FileName | ./usr/lib/python3.9/site-packages/sklearn_nature_inspired_algorithms/model_selection/__pycache__/__init__.cpython-39.pyc |
FileSize | 258 |
MD5 | 920CD8251CFB055374A0365A4A93C641 |
SHA-1 | 200976EB03AAC7309746CF26D7B71FD2276A8CF6 |
SHA-256 | 16AAD3243C86FE34CC29D134D5358476115D030CE37ACE5AF4E1926E8E6C94A0 |
SSDEEP | 6:Q1te1/QCHqqoFnygJ1xG9YBbrkAQyNcD6:Q1te9Qxq4lpGEEhHD6 |
TLSH | T180D0A50857DB8FB7E5AF907BB9B015357C6104B457754941BD0471395D156510421C5F |
Key | Value |
---|---|
FileName | ./usr/lib/python3.9/site-packages/sklearn_nature_inspired_algorithms/model_selection/__pycache__/_stagnation_stopping_task.cpython-39.pyc |
FileSize | 1987 |
MD5 | 5C275B9E6988C9F4E9516F56F8BD2E40 |
SHA-1 | 312AB0E84818C9D22F8B0F4895819901D00686D4 |
SHA-256 | 10FD7A8F607C51A732A6F0D84E1E6B4070C20BF7EB6D19587DF9061699A16E0E |
SSDEEP | 24:QwRzhKucctT/3r4NtRfX9RRyckt1PwR+LTZT3IkRhJEEhfskNsYYnedlDqoEVYa8:Q7ct/UtVAt1ojShJfhfs14hqoRahuMo7 |
TLSH | T115414296D2D25F3FFD96F1F2E00812585165BA6EBA4800035C54D04BBE4B5AD06B3839 |
Key | Value |
---|---|
FileName | usr/lib/python3.12/site-packages/sklearn_nature_inspired_algorithms/helpers/score_by_generation_violinplot.py |
FileSize | 527 |
MD5 | C3ABCE19CCE4363E3860545F5CF13667 |
SHA-1 | 3B8E60DB60E30B8507B07B25CB8A544473B8AF35 |
SHA-256 | 8D3820DD8434FF2FDFBCC719C3F4A0E78E8A61144C03F885E6D87F6A0D20021D |
SSDEEP | 12:4JDDbCJZI0+BYMTj2p0J9A+X8EAUCvEuXAL+X6BYAAi2fjIiKQ9inAUFa:UDXiI0+H/ZY+MEAZEuQL+qBYAz6T14ny |
TLSH | T174F0595B1C544231434791A9AD9252240FB2340B5E804EF2381D61DE7B44E2857E6E5A |
tar:gname | root |
tar:uname | root |
Key | Value |
---|---|
FileName | ./usr/lib/python3.9/site-packages/sklearn_nature_inspired_algorithms/model_selection/__pycache__/_param_grid.cpython-39.pyc |
FileSize | 2137 |
MD5 | 3639212632B1EAD40DDCF6441E2C8353 |
SHA-1 | 66668D98B987FA4CC7CF6352F8C5441969B17CC5 |
SHA-256 | EC6308ADE92C886484BE1CD9970CBD442E830440867D0CC2C60FE983D8E3858C |
SSDEEP | 48:QJk00ESzKcOWbYiDfhUVS9MSXB7uw6LafnvbbheP:QS1PO+3h8+xXB7uNLeDbhs |
TLSH | T1E6412FD2DE56D489FCF9F37483390A2A68314273730A81430C09D88F1EACED66C39C19 |
Key | Value |
---|---|
FileName | ./usr/lib/python3.9/site-packages/sklearn_nature_inspired_algorithms/helpers/__pycache__/score_by_generation_lineplot.cpython-39.pyc |
FileSize | 1562 |
MD5 | 3801040C5FBAEFC8138DC8E207D3246A |
SHA-1 | 6CD708D259E1DF15C59AFE6B06047A244EACAEE0 |
SHA-256 | F9835236527DD80216A15F8949FC99B54EF5D3C69E8DAF905D015FFD8A5F853A |
SSDEEP | 48:QwEU9N42SBeEoZBJrvHxRZkdfhlhUiLit6UJMHadqqQ:UUD4/BeEoZBRvHL29hlhUi2DaHKqqQ |
TLSH | T1E93132E0CEA72055F6B9F4BDBA1109703F3240AE0345D2C67C78951F78B574D5223EA8 |