| Key | Value |
|---|---|
| MD5 | 680CB2A8BD3C4EB6A760CD2F17D13CB7 |
| PackageArch | s390x |
| 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 | 9.fc18 |
| PackageVersion | 1.0.2 |
| SHA-1 | CC718AD0C8B54E0A8037B241D9AA5172EC3C9049 |
| SHA-256 | 72813ACFC93464A7B0F1010778E466A80899A0E6B4FBC5631493852FBACE2583 |
| 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/lib64/python2.7/site-packages/pebl/util.pyc |
| FileSize | 9959 |
| MD5 | A536E1647EAC7EAA893CD00E807F3F1A |
| SHA-1 | 02EABF48D27AA630A6929570CE20E507A43DEE49 |
| SHA-256 | A652735A0212DF50E3EE08E6D7351103A2E0DE7FF3BFB27617EED608150B8F08 |
| SSDEEP | 192:QyWUruwu4qBoriVrYZCFQw3qMvfxU/WkBniIUe1:QnUruOyoraEZCaMvZU/Wje1 |
| TLSH | T18A225380B7F4566FC69518796AB102579F65E0B7E2036B80323CA07E3E59379C97F388 |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-pebl-1.0.2/html/learner/greedy.html |
| FileSize | 9160 |
| MD5 | 9550BB33FB39BA804FA868C5C7547AFE |
| SHA-1 | 035DECCC4BDFDDE406FB227EB141D1B51BD3F3F8 |
| SHA-256 | C6B0B00F1FCF5EB7DAD619686179E4B750B121D44647697F31ACE3ABA242CFEC |
| SSDEEP | 96:6YXfFYMA/4tD9Wjm7n3zAp6zK9DBlydENgfLy02nxLjw6j0xS2kQ22pubqvU7S1n:XFXAY17nD6WKj986j0xyQ2j+1Udnf6v |
| TLSH | T1B812532A5EE05A3341131BDFD5E51B22B8C2C057E1460CA5B4FC9D5A9F8BD91AB0BE0B |
| 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-1.0.2/html/discretizer.html |
| FileSize | 6424 |
| MD5 | 8FD3E3E6849D0E7B681A85C23DCCA517 |
| SHA-1 | 0528E53D9EAE02BD9750990E9116B02D806A29D6 |
| SHA-256 | 3C07F216BD36867E858E0B1CCE9C204B3353962DFFE6FDC512854E4DB951EC44 |
| SSDEEP | 96:4S6fFSMRD3MD9ljm0niUDp6EEASUu1QKZAQmfpwDAVlSg91TYDKjmcniKDp6r+e:0F1Rkg0nvVktQCpmfWYSk1KcnLVE |
| TLSH | T1F9D1A62D95F06933480655E3DAF55A21BC92C1ABE206190CB1FC526CAFC7FA29E0774E |
| 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/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-1.0.2/html/learner/simanneal.html |
| FileSize | 8656 |
| MD5 | A42235E737E3A3ABCF80DDD99F1FF548 |
| SHA-1 | 081592DAB1DDAA8D59D724B3B7BDA8E57C6DD915 |
| SHA-256 | 06171825E34EC8BF68C6189B4242CFF788FC05220C7E7702877F75DF7B982D69 |
| SSDEEP | 96:BYXfFYMAutD9Wjm0naAp6zm03yqAXdS2t/S6oyh3S1T5DPjmcn4Ap6++e:+FXAa10na6uyhXdvXjC1Ucn46v |
| TLSH | T15102521A9DF00A33811787EDD1965B23B8C54047F6051C5CF4FC8A8E9F97E91BA1BA0A |
| Key | Value |
|---|---|
| FileName | ./usr/lib64/python2.7/site-packages/pebl/discretizer.pyo |
| FileSize | 2096 |
| MD5 | 1D501E3D1C02EF2F22F7190B1B013C9D |
| SHA-1 | 095459342588F0FBBCDA3065A74B1B529C5D7975 |
| SHA-256 | 8871B2E98B1413FB37B12C13F2CF122AF260070ECB7BF15966B92CBD3DBA14A0 |
| SSDEEP | 48:dYz+HTLMstwR4ZaLu70ydQ2/OpiG9myYU3UGypGef2/EnqbNj:1NwRYwPydFCpuBOEW |
| TLSH | T1BF4141CA77607213DC440172667402976E62E2BB5202671176BCEB7C3F98371D5BA3C8 |