Key | Value |
---|---|
FileSize | 42905508 |
MD5 | 45E402023213042CD7403AD4CD9A263A |
PackageDescription | documentation and examples for scikit-learn This package contains documentation and example scripts for python-sklearn. |
PackageMaintainer | Debian Science Team <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python-sklearn-doc |
PackageSection | doc |
PackageVersion | 0.23.2-5 |
SHA-1 | 740439B798746A92C51FAFC5AE5CE3A7FD73090B |
SHA-256 | 4072CA4D06A39467A2B0B9F663E8B1E14F04F6A3397E74907B2C1120F7FEAF11 |
hashlookup:children-total | 3049 |
hashlookup:trust | 50 |
The searched file hash includes 3049 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/examples/svm/plot_svm_margin.py |
FileSize | 2540 |
MD5 | 20F0800268AA3B127A61866BEB151FF0 |
SHA-1 | 001C2B7EF85E6BFACF735090F2C5E656263B182A |
SHA-256 | 800978E1EF0A17DAE6DEA3ECAB717245DEA9CDBA8F649D4E4A2877352DB3E680 |
SSDEEP | 48:CdEGkJVbTOXwNUh6EPXu6HSghmkhslNMftKVGbioWGF:CvQcX186HIkh6Sms |
TLSH | T140517401364C73B09B4381983DE7ADB57761A17F5D80282FB1AD6244CF18BAAD739D8A |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/html/_sources/modules/generated/sklearn.base.RegressorMixin.rst.txt |
FileSize | 279 |
MD5 | F4C014EA6388140FAB4606C7FC70B144 |
SHA-1 | 003130A3A59303C3918D13CE9D731C48D2A07B59 |
SHA-256 | 8F6201DAF268362F7C51AEA5D9316C977D46528315B50AD1A0D36C80EEC33AD1 |
SSDEEP | 3:GkOO+/fAkMAY76BFrvfA3LCEKe/wnDSMYFvFDL+EKzf6KivN/eA3s0vfA7eMyUzw:qbbIorv8WEjwDSB2EQIgAc0vrol+ |
TLSH | T171D05E0A72352D3320F7070CA898B1C40D9A3D0AF342666914D8A49EEA85F14AD52619 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/html/modules/generated/sklearn.utils.deprecated.html |
FileSize | 16022 |
MD5 | E68E448305EB55E88FC4276E62EA4050 |
SHA-1 | 0031F7488951FC86303F44F2BBB0B28D41A5D3B1 |
SHA-256 | 30C055DAF83782576348AE36D6A57D0DB71CD6A4A6865C35D0BA881CAC400B35 |
SSDEEP | 192:dN+9C6yRYxeHVAQG1A2URJwSfSqv6SUC93MUP6C6ZL4VPL:dNvRYxetG1A2URJwSfzHUCiHw |
TLSH | T1E17283226CF22167026719DE96AF53017ED3440BF203AC11BAFC53DE8FC9E45666BE49 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/html/modules/feature_extraction.html |
FileSize | 123571 |
MD5 | 2C2478508454442C86124457A140AA79 |
SHA-1 | 003A5B407F7010317A71D3B5223ECCFCC27AED90 |
SHA-256 | 05C620A89BC167402BDDA0345F92CD0E0CBA675604FCFC7C8CDC6EEB5BA16C4B |
SSDEEP | 1536:lQ0TEepbyXzl/JwD01YGn3S/hSOubDDJUNqBXwnacQoW8BueT5HYMtBsHv6sfa0C:l0+ubpwacZTuqzF |
TLSH | T144C3C7A5E5F7923301BB84D393EE0B75B5E5846AE0860445B7FC83AC47DCC943A1BD2A |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/examples/applications/plot_species_distribution_modeling.py |
FileSize | 7970 |
MD5 | 46FB3C87E92A0D145492F244860459FD |
SHA-1 | 005689838EAB53866B9804164514E5CC80C8E08D |
SHA-256 | A34FA8826C4DE8FA6B695DC1AE85FA4F4EE0B4D12062B4CEF9EF213479E14DD9 |
SSDEEP | 192:ooYmsjw0Kq7Ib808OR2eo+1MWKI1SPPcTzcHF6eVIQ2:4nxh02eo+1tSPMz66eVIQ2 |
TLSH | T1DFF10A27BB453769B74380ACAF9D14C3B737891F99903468B76C80802F1D338EA3EA55 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/html/_downloads/905bd7d135e7fe5fdec55e4f0aa77420/plot_voting_decision_regions.ipynb |
FileSize | 3559 |
MD5 | CE987DDA18F16F9DA04F7344C30D2145 |
SHA-1 | 005AE963CBD4AB37C52EFA3B3A0B12C19D9B6CE7 |
SHA-256 | 31CE3197604D728A40B96A88DB5FE84C7F4539D5D3FF90904B910AD347ADCD69 |
SSDEEP | 48:u418bi5iijm3Wwo7VEuzIs+AS+yn6OsS1jvOlpCgiZv1ADZxzlWtzDyZQXg5Obn:5kItw3s+AS+yzvEtNQ2Or |
TLSH | T1B3719334E0615E73EB6F0C648AB8818732A772879E087C5D7A7D53581F4D828D1B4BAC |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/html/_downloads/46c19b52b5a5ab5796725eb7e0688309/plot_gpr_on_structured_data.ipynb.gz |
FileSize | 2346 |
MD5 | 72336E11735F3BE058B1ECCCD0017C61 |
SHA-1 | 008F878FBA391EEF67C85567B457B84D334E7CBF |
SHA-256 | B44703ED39229ECEA4C6F45320CAE064EA519208095E1B2A98AF5D34AD5D26EA |
SSDEEP | 48:X82v3JZ/raRR79i/4kmrsCP8CZ4FlyQYdCbD3zamO2U9PiJFc+Laj:M2v5Z/rQp9QCPkfyOzamTU9+Laj |
TLSH | T148414B44C87ADAAE44A337A68BFA521CCA7DCD1C28C1348A348C3D1025F8F6529F2774 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/html/_images/sphx_glr_plot_kmeans_stability_low_dim_dense_001.png |
FileSize | 38274 |
MD5 | AD5EC369594F5118CD3971C293782474 |
SHA-1 | 009A7448DD6A7F1371FD020F9AF30CA06263531D |
SHA-256 | EB5BCEA35DE9A8E45A779F8774F06D8C943E4B236F1BAD0C2ACFD8417BDB1B63 |
SSDEEP | 768:o4ZKP42G4dm1Ccu3eK3F6en+yH08zMWhxsnAvPlJ5Rwg+paxgfRid8IN7W:o1o1JurFVn+mMamnAZwQgJiyI0 |
TLSH | T12003D09BA1A6CC585A5E91F25E0D1C1EF8222158F1CE8F22411FA7FA61C5CD8C6E07E7 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/html/_sources/modules/generated/sklearn.gaussian_process.kernels.WhiteKernel.rst.txt |
FileSize | 376 |
MD5 | 39ABE8FF8153245D275BB71663679AAA |
SHA-1 | 009BF4FF8F8795AC90CE30786CC1E149C6663DB3 |
SHA-256 | 393661B5FC52CB3CD879DD6EE9D53A160B51507733B0490C3850295583A2E924 |
SSDEEP | 6:qbHDF0I5LO5rvHDF06Ej1vLOvuEQI8EQA4Ac0vHDF06NMoLq+l+:+p0I5LORvp06Ej1vLOWE2EXNc0vp0mMT |
TLSH | T164E0C226607E183621FB9709A2AD60D91CCB790CE780CE7A0F48D2567F42F74E862607 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/html/_sources/modules/generated/sklearn.utils.sparsefuncs_fast.inplace_csr_row_normalize_l1.rst.txt |
FileSize | 379 |
MD5 | FB59D8C0C7C033EB9B6F6780B82EEB83 |
SHA-1 | 009D7A31D018CE1E996F8548B8FF34224346BEAB |
SHA-256 | 9FB35B5A6961C681653BC00DC87D23C9502AC266AA70FA3E0FA974A733F02844 |
SSDEEP | 6:qbaTTmEGrSFrvaTVBpb5/SvWAc0vaTwdrSstl+:+aTXlvaTVBvq/c0vaTdsC |
TLSH | T1FCE0C208B02D8C82017FC42859DEF9C408E26249B64326330D74C881385FFFCC6E7E18 |