Result for 0DCB2C9F7011EBB669E1187794E206613866FBBF

Query result

Key Value
FileSize4741684
MD5D03BBD5911AA088145547AE1D9410E90
PackageDescriptionMachine learning algorithms for data mining tasks Weka is a collection of machine learning algorithms in Java that can either be used from the command-line, or called from your own Java code. Weka is also ideally suited for developing new machine learning schemes. . Implemented schemes cover decision tree inducers, rule learners, model tree generators, support vector machines, locally weighted regression, instance-based learning, bagging, boosting, and stacking. Also included are clustering methods, and an association rule learner. Apart from actual learning schemes, Weka also contains a large variety of tools that can be used for pre-processing datasets. . This package contains the documentation.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNameweka-doc
PackageSectiondoc
PackageVersion3.6.10-2
SHA-10DCB2C9F7011EBB669E1187794E206613866FBBF
SHA-25624B836F62CCB7CFCDF8BAE300165E1DD6FD9D89FBD18DFA248BE22876C9A2A17
hashlookup:children-total1393
hashlookup:trust50

Network graph view

Children (Total: 1393)

The searched file hash includes 1393 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/share/doc/weka-doc/doc/weka/classifiers/lazy/package-frame.html
FileSize1122
MD55E76F86278B46932843E7615E6CD3011
SHA-10022BD1F3FD26CF4312C9C4223FBA1CA5AD5D055
SHA-25665CAC143A84EE75F0883557B000B36800AD397A50090372ADFB357C5ECBED128
SSDEEP24:WpO3j/qV6sRpYm6gdM+m8W+meKG+msUO+md0j+mv:OjPimxdM+m8W+mel+mBO+md0j+mv
TLSHT1CC21F026534BEC32AAA369D0ABD466C576930BF2DED01E49F4F0B1096540259CD9328F
Key Value
FileName./usr/share/doc/weka-doc/doc/weka/gui/beans/LoaderBeanInfo.html
FileSize10474
MD58322B61976CDD38C1133473C39651017
SHA-10029887EC5F6C935A32127FD0CB60F0A7AAC371C
SHA-2565EAFF40F6EDC1F24A31CC411E93FCD967E18588043BF1BA984A00DBA6E6E2C6E
SSDEEP192:6SXfCFicibffR446kBouAqiCMBY1BBYXafmy+pmvZicibffRB:16FicizJ446kBouAqvMiBHYwvZicizJB
TLSHT1E32295111C677977015782CC9DB80B6636D38532E2799E92B2F9E23D76C1FC86E2405F
Key Value
FileName./usr/share/doc/weka-doc/doc/weka/gui/CheckBoxList.CheckBoxListRenderer.html
FileSize22444
MD59462DC60A2DA2DAF0F61B2A90F7063A8
SHA-100518978FDD612775C91DB431A7707BFE26BA4AE
SHA-25682EB57578CACC8809A6F36D4A9659FD0511E6B61C4CC250D98585D997FE1424D
SSDEEP384:CsqlI9WFiciJJ4iNm6eem3nAweWl5eBT2tktfuC6CVt4DtYMEkHDBhXC0hSBOoZe:Gj0R96kfNM1BxhSim9vgRR
TLSHT173A2613738073D731BC682ADBB7A1B17BAE60076E0E6564079FED32923C4EC9254519B
Key Value
FileName./usr/share/doc/weka-doc/doc/weka/gui/graphvisualizer/package-tree.html
FileSize8360
MD516D3805EFD47D888C60E7321EDF1715A
SHA-100CC39937E80205E89657197A367B5AD1C8C1A74
SHA-256347FD1EADBF01547064B0FDC98ACE5CA91F37580F740885E923E5A847BB77621
SSDEEP192:fSX+0Fici6HbJ1+RshxUGMpjnQsvZici7:A1Fici67J1+RaxUGMpztvZici7
TLSHT1A502DE16D958BC12034A468489B90EB277C3C722FE7AADC9F2BDE125EC11FD15C18D9B
Key Value
FileName./usr/share/doc/weka-doc/doc/weka/clusterers/package-summary.html
FileSize12405
MD5BA5FBACCCD015C79D53A22263565EBD5
SHA-101462F07E649B5360A4E69C0168797195581391D
SHA-256E42C0AA7CBF637D44C671D37741DFC8DA035D0F0458F3A48BE3CF12364AFA625
SSDEEP192:uSXO1Fici6B0X6w3KuLZZsGeECuXA+ufbSxbMhopvZici7:hOFici6B0X6w33lZsGRbqevZici7
TLSHT16F42207148C622BB0D07B1D6BEB90FEA72D14962E7201D80F1FCC53A1247EC9FA5168A
Key Value
FileName./usr/share/doc/weka-doc/doc/weka/classifiers/trees/j48/GraftSplit.html
FileSize35796
MD5635EEC0AD25FB4937FD3541539A281DA
SHA-101A28B8F5F7EF0CCB00B9DB016EDC6E54821A929
SHA-256F50A718A2751C99E9DD34988399F6651CAA833952403DF6F5A238947151E7CFC
SSDEEP768:uk0R1IM69BoCwYDD8UtrhQAZ9brUO07f5FgvgRH:8R1Ju/wY9/9brUOepRH
TLSHT185F2922802B33DB6162742DD9A6C2E677BDB4856FE102E4879FD873C17C0E857532A4B
Key Value
FileName./usr/share/doc/weka-doc/doc/weka/core/converters/ConverterUtils.DataSink.html
FileSize18187
MD57E5DEA9E2D45B74EA5EB4A54642AA4C2
SHA-101FD589D6B3964D33BECFBB164A6AEB225D648BD
SHA-25680A0F6D3BD417B9313D1411557F83904F967B4D3687F8D7F55DCC034EB3C1E32
SSDEEP384:HiFicizJ4q6nKob1ZML54BIeBj9HM7XvPFWS0vZicizJB:Hi0RkDML54BIeBj9HM7/9N0vgRH
TLSHT1E482831109633DB6032302DD557C0BE6B7DA94A9FAA02F4275BDD23A53C2FC93861B87
Key Value
FileName./usr/share/doc/weka-doc/doc/weka/filters/unsupervised/attribute/Normalize.html
FileSize34233
MD5F90478EAC84E512A08E7E016A149FC96
SHA-10206E8ED2F5C08133308A94DAAAD40BD6C99A493
SHA-25621C7FA14C7BD0701BEB177E5680197AC5B54904EDC9498F6EBEEB23B157CB581
SSDEEP384:UHRFicizJ4g6wTQZNzGZM4BcgOa3BlOQjGz8GrF6OlZvZicizJB:UHR0ROzmM4B2a3+Qaz8ElZvgRH
TLSHT1F3E2722061F23576194342CEE9B81E6737ABCC59FB202E81B9FCC7351781E85A671A4F
Key Value
FileName./usr/share/doc/weka-doc/doc/weka/core/NoSupportForMissingValuesException.html
FileSize9519
MD567DC5F610CB19BCBF27C3C53D30B6D2C
SHA-1025CFEE9B57EDE36A94B23D5B6FACB1BEB90B8D1
SHA-25636C94C8196793F83BC16A2B07815EDAF373F6DBEBBAB5FC5495C7650D216734B
SSDEEP192:tUSXsSBFicibf5P9FP6/YRC6K+aqeZMBJM0sMu1vyJWJXOSlvZicibf5e:tHbBFicizJ9h6/YE6KvhZMfQfvyIV9ll
TLSHT1E61231122866796B079703C9697A06567AF34432F2783C52E6F9C73931C2FC89E1760F
Key Value
FileName./usr/share/doc/weka-doc/doc/weka/classifiers/bayes/net/BayesNetGenerator.html
FileSize36498
MD50F188E786695CF763DBCC03B043CC9FB
SHA-10280E4642BA2B551EDB1515D4E714EDF681BE6E6
SHA-256A5D730AE400E97F8744044BF693499A6F9C428893B10BA390EBC1C15AE31C605
SSDEEP384:X+Ficim2J4l616CUCtMzvAqDn+TLMAB01mMGbtRcvCj1U5yHyACvZicim2JB:X+0Ro4LTLMAB0ItmveHyACvgRR
TLSHT1DAF25F3216B3BE7105F7158808695E1A7BD28C44FE2D3F9878FD5E369580B88B6F0D4A