| Key | Value |
|---|---|
| MD5 | C488895300C9093877B1315F7BB0FCDA |
| PackageArch | ppc |
| PackageDescription | Pebl is a python library and command line application for learning the structure of a Bayesian network given prior knowledge and observations. Pebl includes the following features: - can learn with observational and interventional data - handles missing values and hidden variables using exact and heuristic methods - provides several learning algorithms; makes creating new ones simple - has facilities for transparent parallel execution using several cluster/grid resources - calculates edge marginals and consensus networks - presents results in a variety of formats |
| PackageMaintainer | Fedora Project |
| PackageName | python-pebl |
| PackageRelease | 11.fc20 |
| PackageVersion | 1.0.2 |
| SHA-1 | F2B9ECB882CCA8E3BE2238E00995728231BDB0FA |
| SHA-256 | 5C582F2F05ECCED160AA7F79FC5BF8892CE72FE1BF4E5DA909C2A7F9CE5A59B6 |
| hashlookup:children-total | 178 |
| hashlookup:trust | 50 |
The searched file hash includes 178 children files known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-pebl/html/result.html |
| FileSize | 11190 |
| MD5 | E8252366F5F56D70E97539DF6BF80240 |
| SHA-1 | 02C74AC84E3549DF3201F5184D5380E7F0B37B8E |
| SHA-256 | 18D43341A93DEFBD6FEF536FC131BF7F6FC3AB05AB3BC96A94898826C2CC6A02 |
| SSDEEP | 192:cF1RJpg3GnqVfTgd85piuvJKQLJFJJD1K3SnIVx:cF1OWnqBuo/D1KCnIn |
| TLSH | T108325355EDF06A33842357EAE6E50B36F9C184ABE5090404B4FCDA9D1FC6D81B90BF0A |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-pebl/html/_sources/userguide.txt |
| FileSize | 22 |
| MD5 | 777825C488ADB112CCF1A251E5B6A980 |
| SHA-1 | 038BB6F45ED88BC23FD9FA64D03373BBE5CE3E30 |
| SHA-256 | 3E41E444B36E43667D617172ECFF145EEF112DB759D9EA8A257A3C0D0FF2A0D0 |
| SSDEEP | 3:jA+CSu:rJu |
| TLSH |
| Key | Value |
|---|---|
| FileName | ./usr/share/pyshared/pebl/test/testfiles/pebl-tutorial-data1.txt |
| FileSize | 4993 |
| MD5 | 25AFD6D444642CBF559DBED2D0609CD0 |
| SHA-1 | 04CAA4255AA0C005455C7EB74CD2B142FEDD3BD9 |
| SHA-256 | EEFDF7EA6709B8518E769912A803EA9A85672C6F32296C4D08A82AA07FF5D683 |
| SSDEEP | 96:thlUp7Om/oItrk8tjtY3M0q1UQymx589sihULOMLuW0KwyHRGw6x:thlu7OmAI1tj23M0qhymx5WsihUBLu/j |
| TLSH | T1B2A1B097DFE2C0458C4A0845CAF31CE41EE463CAC1C0EB2B7258F4589CA79CEA79726D |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-pebl/html/_static/tutorial/example1-result/data/consensus.9.png |
| FileSize | 81269 |
| MD5 | 588C7B2FB44FDC49946846BE376B1EE3 |
| SHA-1 | 057628E60F1F5A05D45D8DB3C3F0884C8DCAC52B |
| SHA-256 | 1F85E167BC3C650E86C2FB366572BAF18E5B4AEA88F8D9B5B35400EF78A42EFA |
| SSDEEP | 1536:aap+58TdWqawUVgiUk792lhypjKA61cvFdb0A2ixLxn0:a23TCwUVgiUkciVKdcNKxixLx0 |
| TLSH | T15D830246EC82077A2869423FC5A88E69EFF24065CA7FD9304FE9A1D70376B503A91747 |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-pebl/html/taskcontroller/multiprocess.html |
| FileSize | 7495 |
| MD5 | CDE15405F2D89324E496CFD53F896385 |
| SHA-1 | 06CC3A682F4DFD006A90F76C6699254542A25D5F |
| SHA-256 | 52D5E78DCBB4A2962AA631A1E2361FC8989C66457E27512DB1AD6EC31831A4A6 |
| SSDEEP | 192:Z/FXAy1Sno6UzXFcjn4b2kx1uNIXs1UGne66:FFX3SnoVacs1UGnex |
| TLSH | T145F154068DF46A3396C34BD5F6F1873ABCD2C097EA050815B0FCA9596FC6EC19907A0A |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python2.7/dist-packages/pebl/evaluator.py |
| FileSize | 25619 |
| MD5 | 1A406F2159B4E15CAD6A5168ED1EDBDD |
| SHA-1 | 07A197C5005C60A6314DD7136A015322C6CA3BA0 |
| SHA-256 | 763E59F3DCBC2A410680F6A467E7CF52A7D1900E0F4E5D5302D6EE30AA244E96 |
| SSDEEP | 768:vSHMK123oBnywh6ocKnaTncx1xgt9tsDlDMsmP6SuSs:6HMK123oBfh6oc+aIx1xgtL0lDMsnnz |
| TLSH | T1D7B2652BA6271A1A1683546634DF7243AB1A7443528D08FD7CFED38C5F81D25A2DCEF8 |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-pebl/html/_static/tutorial/example1-result/data/5-common.png |
| FileSize | 81233 |
| MD5 | EDB3B9E4B776065B080C42F6E19854AB |
| SHA-1 | 07CE8D765C8B93160C4F23855E414A65357B9C0C |
| SHA-256 | D41691B9B691A4FDD815FBC9C5804F21245691391A9E1C8260F1065471D4D0A5 |
| SSDEEP | 1536:aap+58Tdjgt3/K3mdwnrFoJ2NwRq59qHFkUsf0w72lCJ:a23TB4iyCreJ2iqreTgJ |
| TLSH | T1F78302966DA40BFA7836D1397E8A9E20DDD865E8526F4F1045B1F2D34356B20BAC0E0F |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-pebl/html/paramref.html |
| FileSize | 16917 |
| MD5 | 070C3E4C879B3B2565CE72956FAAEE72 |
| SHA-1 | 082478B9E0BCD9CA92DF3C9A9EA1CDEB4605BC91 |
| SHA-256 | 7A5F04215175932185D8C9BC00158BFB667D3B4E9AA96EB6F2D73986C0C064A4 |
| SSDEEP | 192:mF1nIgWon2V1NNNZtIKoYXgpMzXVYcM1KWInEVB:mF1bWon2n/tn2MzacM1KWInEb |
| TLSH | T1E27210196AD00E37C51317FDE6901B33E1C684AAF6A41491F0BC8E9A578BDE1EF1B605 |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-pebl/html/_sources/network.txt |
| FileSize | 913 |
| MD5 | 238BF05434514B10F58DBA174EEF3968 |
| SHA-1 | 0AAE1F9F4C58ECEE7BD4137076AE48096646277F |
| SHA-256 | C26F21401920B7FCC58E619141481F4BBE85208BF09682B123A5E1D74DDBA23F |
| SSDEEP | 24:I3TMw2p/GooGK2bGIl5OtrMpTlMjFSYjdMl:cHM/doGTbGaOtrMppMMUQ |
| TLSH | T1D111E32B3E7135D944DFC1545A977289E6299094F11701FE203C03E41E927A555FFF0B |
| Key | Value |
|---|---|
| CRC32 | 033E083A |
| FileName | ./usr/share/doc/xmds2-doc/_static/searchtools.js |
| FileSize | 16043 |
| MD5 | D550841ADEEDC8ED47C40EE607620937 |
| OpSystemCode | 362 |
| ProductCode | 187351 |
| RDS:package_id | 298595 |
| SHA-1 | 0C23370A76254BC5E3B14678703E3AA2BA42FBEB |
| SHA-256 | A7469788210DA2C5EE8583B28F7AEAFB8A5A7C56137D2B9E2A9BEC8A8F690D45 |
| SSDEEP | 384:Z8uBn22l3IFpHWkss02ywhcn28j9ZyWgrGx4XHb:Z7+FfssM5Rc |
| SpecialCode | |
| TLSH | T1B1726548C99F11959A37B01D8FEF9069B3B584272608D9007CDCA7886F90C7542FEEF6 |
| db | nsrl_legacy |
| insert-timestamp | 1696457686.0513554 |
| source | db.sqlite |
| tar:gname | root |
| tar:uname | root |