Key | Value |
---|---|
MD5 | 73EEB5D575C87E19A776A4C6F0E5D682 |
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 | 10.fc19 |
PackageVersion | 1.0.2 |
SHA-1 | 5DB1211F169CE9DF91A8753BF5C47585D2B58EE1 |
SHA-256 | 860FB2F9027F081A1E96CDB2E5DCB79A4674C2DB8F96C10A7C53D9A5E3357613 |
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-1.0.2/html/install.html |
FileSize | 17175 |
MD5 | FBA8E3AEEC2DD693988E49D25CB8934F |
SHA-1 | 019713BEF4F703051E72A636BE13E5B596F5E3A1 |
SHA-256 | 62DF33EC72E6C41F11544A909AA10374A31BBEACA19F6F7AF2F0F1A685C28E54 |
SSDEEP | 384:zFbxnE0NLDiiGXkAh3q0nZvEN+Esvf1KPn6+:z/jOXkA1ud |
TLSH | T15372B82B52E593335E1343DAE3A7473BE5A2C473E163081871FD46981BC3CA29A2775B |
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/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/doc/python-pebl-1.0.2/html/taskcontroller/multiprocess.html |
FileSize | 7529 |
MD5 | 40B963EC0ED15B70FFB8F55CD26BEC9B |
SHA-1 | 0442B24A55CC83411EB48CD9F8872D56EE1F3D04 |
SHA-256 | 50A89CDA3216AC88D3A3E98D059EB5F60FC343A83B33C5F94976A23E9BD76712 |
SSDEEP | 192:Z/FXAy1Sno6UzXFcjn4b2kx1uNIXs1UGne6T:FFX3SnoVacs1UGneQ |
TLSH | T132F153168DF46A3396C34BD5F6F1873ABCD2C097EA050815B0FCA9596FC6EC19907A0A |
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-1.0.2/html/learner/simanneal.html |
FileSize | 8656 |
MD5 | D56159DE33E572D4936D5C0C6B4D7E58 |
SHA-1 | 05EE260CFD052AC74BF8318AE59F5ED74B6F7244 |
SHA-256 | A039F1ABBB74AD0B41AFB4E3B930AEEA497F3A7146C6C05967DF70E515CBD426 |
SSDEEP | 96:BYXfFYMAutD9Wjm0naAp6zm03yqAXdS2t/S6oyh3S1T5DPjmcn4Ap6+Ge:+FXAa10na6uyhXdvXjC1Ucn46T |
TLSH | T18F02521A9DF00A33811787EED1965B23B8C54047F6051C5CF4FC8A8E9F97E91BB1BA0A |
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/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 |