Key | Value |
---|---|
FileSize | 42913800 |
MD5 | 588C7C9BD85BA1949E749C723FCB4E68 |
PackageDescription | documentation and examples for scikit-learn This package contains documentation and example scripts for python-sklearn. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-sklearn-doc |
PackageSection | doc |
PackageVersion | 0.23.2-5ubuntu2 |
SHA-1 | 8BDDA85A648355F9005737A180D1A7008E156892 |
SHA-256 | 5A2C6A3FC4757FDC4BB7A7C24EA767EC28F01BA92EF887F59E1685C953F15125 |
hashlookup:children-total | 3048 |
hashlookup:trust | 50 |
The searched file hash includes 3048 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/html/_images/sphx_glr_plot_kde_1d_0021.png |
FileSize | 21130 |
MD5 | A66881B67FB025B44253FBCE9B70EF46 |
SHA-1 | 001720AF5220CABE635A2D66FA0609FC0335D330 |
SHA-256 | 17D7651EE95594FE94E238D3D3CE5F0CC331F8A295FF02C9C5571FF8ABFEB2CD |
SSDEEP | 384:jKKKyLY4hK5qMhc9ETP9QkKKVjrL+xq+JvD6XWU8qxWQr/R2K4trh8ekExF6Bbn2:9NK5hzTP9QEjrUqC2XWxq9gL5kExB |
TLSH | T17C92D0063E31D12D51AA1AB2FB5698B4B1163FF062625468DD2378D0D211E0F7FA3A7F |
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/auto_examples/linear_model/plot_sparse_logistic_regression_mnist.html |
FileSize | 33289 |
MD5 | C9301E8BB274B2054CD8A73FF2854706 |
SHA-1 | 001D171B9CC198229BEB0BACC9920C97EFF3D417 |
SHA-256 | 0E8967A0F90BEDCB2F59DDD29E26B8D178B3AA83C7471B5EAFAFAFA8996F5086 |
SSDEEP | 192:dD8+9CP6pdWea+nsUQ96/R8H6dQN9Q9/NUdmox7wC8AR6/54IEms6LAhPCabJm7e:dw9QdWeag/KRJqvFgOLeJwSfzHUCiHw |
TLSH | T1BCE2FDD1E9F69177017798C756BF0B22B5E2482BE4824400B7FD93B84BECD403967DAA |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/html/auto_examples/linear_model/plot_logistic_l1_l2_sparsity.html |
FileSize | 31307 |
MD5 | 3BAB755C5A936ABA9DE5321C6ED49336 |
SHA-1 | 0029DF71B8E36EA2C97F62F478A37D05168610A9 |
SHA-256 | 2D856A796EF32501120A63DE76DFB9C0E10C1F2A1459AF1448D18320A87A365A |
SSDEEP | 384:d69dtCrRL3YaSnFy5FJbAFeUhakLWxOLuJwSfzHUCiHw:oA3jFJbnwLu2SfzHl |
TLSH | T123E21CD5E8F69137017B94C716BF0B26B5E2082AE1465410B3FD93BC4BECE443857EAA |
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/_sources/auto_examples/neighbors/sg_execution_times.rst.txt |
FileSize | 3933 |
MD5 | 346AEC77570A02D25F9AFE482F393FC3 |
SHA-1 | 0089061259619D582470EE88949F3D636FDF8B25 |
SHA-256 | 87095914438D944DDAD489B617466A9DC69C0E520B9B8F48E24767BBCD845F29 |
SSDEEP | 96:G9qR2zyzSzAzPtxz2zSTUzQq2zbz6zCznzB/XzeK:5J |
TLSH | T1E181BA245F769422EADED886060C124FE96B816FF9F01E37F1ED9494E72920E53CDD12 |