Parents (Total: 13)

The searched file hash is included in 13 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	AF212728AA9596C28F3C2AAC0BA53DDE
PackageArch	armv7hl
PackageDescription	Scikit-learn integrates machine learning algorithms in the tightly-knit scientific Python world, building upon numpy, scipy, and matplotlib. As a machine-learning module, it provides versatile tools for data mining and analysis in any field of science and engineering. It strives to be simple and efficient, accessible to everybody, and reusable in various contexts.
PackageMaintainer	Fedora Project
PackageName	python3-scikit-learn
PackageRelease	2.fc34
PackageVersion	0.24.0
SHA-1	B853847F69F1F910C657394D51431E5B69DE012A
SHA-256	65468DDB69060B410A6078F4972495F2D13C1053EFC9A327818EC723D44F13D1

Key	Value
MD5	93301FD9C61C6C910A5AA1A10C9CC5EC
PackageArch	aarch64
PackageDescription	Scikit-learn integrates machine learning algorithms in the tightly-knit scientific Python world, building upon numpy, scipy, and matplotlib. As a machine-learning module, it provides versatile tools for data mining and analysis in any field of science and engineering. It strives to be simple and efficient, accessible to everybody, and reusable in various contexts.
PackageMaintainer	Fedora Project
PackageName	python3-scikit-learn
PackageRelease	2.fc33
PackageVersion	0.23.1
SHA-1	32661761E467FC947C9DD599F3E0790D6E23D783
SHA-256	A202ADD1221037EED0E79AEFB1F1E3261AAAE92A596139E7C062D03F8C3CA0BB

Key	Value
MD5	61A52FA64006DA080E9B8D3F952C4E81
PackageArch	x86_64
PackageDescription	Scikit-learn integrates machine learning algorithms in the tightly-knit scientific Python world, building upon numpy, scipy, and matplotlib. As a machine-learning module, it provides versatile tools for data mining and analysis in any field of science and engineering. It strives to be simple and efficient, accessible to everybody, and reusable in various contexts.
PackageMaintainer	Fedora Project
PackageName	python3-scikit-learn
PackageRelease	2.fc32
PackageVersion	0.22.1
SHA-1	DB0E60B1636CCF1DA08F6DE62C04A2C4A85E16F9
SHA-256	C10285BEAA8944C8F698E3BF9CAB30FCA5E17FD8898D0975C14B9014EF02B418

Key	Value
FileSize	227248
MD5	900EBF44473C1A35A147D60FEF73DADA
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	0.22.2.post1+dfsg-5
SHA-1	000F79FA29B1AC84FCDE0E4526206A1A9995D859
SHA-256	F036D20BF3C14BA526C6C50FE818B26D818218BD5FAAA9F22CE59C551A94FA48

Key	Value
MD5	696C5D9A72AED7B4961D2FAD4DE3EE0F
PackageArch	x86_64
PackageDescription	Scikit-learn integrates machine learning algorithms in the tightly-knit scientific Python world, building upon numpy, scipy, and matplotlib. As a machine-learning module, it provides versatile tools for data mining and analysis in any field of science and engineering. It strives to be simple and efficient, accessible to everybody, and reusable in various contexts.
PackageMaintainer	Fedora Project
PackageName	python3-scikit-learn
PackageRelease	2.fc33
PackageVersion	0.23.1
SHA-1	E21018ED668BE7CE20E7709EAAD62C5809D4391B
SHA-256	26FBA8D670F9F85130EC5884584D277A959B74FCD23704CC9E39AE4FB490B51F

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

Key	Value
MD5	5D2FA29F4130E7CB26587869667DC626
PackageArch	aarch64
PackageDescription	Scikit-learn integrates machine learning algorithms in the tightly-knit scientific Python world, building upon numpy, scipy, and matplotlib. As a machine-learning module, it provides versatile tools for data mining and analysis in any field of science and engineering. It strives to be simple and efficient, accessible to everybody, and reusable in various contexts.
PackageMaintainer	Fedora Project
PackageName	python3-scikit-learn
PackageRelease	2.fc34
PackageVersion	0.24.0
SHA-1	16117A1C32207A75416BCA6E566022AC75AB7041
SHA-256	96172BEAA1E188FD4892ADB24832977D4FE36C626DD2D66EB4C923D361BC7AC0

Key	Value
MD5	1898B04A44B8E0E2A43310587004329C
PackageArch	x86_64
PackageDescription	Scikit-learn integrates machine learning algorithms in the tightly-knit scientific Python world, building upon numpy, scipy, and matplotlib. As a machine-learning module, it provides versatile tools for data mining and analysis in any field of science and engineering. It strives to be simple and efficient, accessible to everybody, and reusable in various contexts.
PackageMaintainer	Fedora Project
PackageName	python3-scikit-learn
PackageRelease	2.fc34
PackageVersion	0.24.0
SHA-1	CE038E81020DAD51C78AF449B9A87C18A89F2D79
SHA-256	DCC913FFE4A680F1353C9D333242DF4B1E80680A4C61BB1710A9C0D0FCE4D073

Key	Value
MD5	20093B191066E2B3C413FD2644EDF50F
PackageArch	armv7hl
PackageDescription	Scikit-learn integrates machine learning algorithms in the tightly-knit scientific Python world, building upon numpy, scipy, and matplotlib. As a machine-learning module, it provides versatile tools for data mining and analysis in any field of science and engineering. It strives to be simple and efficient, accessible to everybody, and reusable in various contexts.
PackageMaintainer	Fedora Project
PackageName	python3-scikit-learn
PackageRelease	2.fc33
PackageVersion	0.23.1
SHA-1	D98B8D00AD3953C84B8054127546A3FCC82465AD
SHA-256	25BE297BA6B732912E4C50F346269044AD14196A5D7D7BF937DFA419CE28C66D

Key	Value
MD5	E792E5D6D39E3A15CC843693E91BC76B
PackageArch	armv7hl
PackageDescription	Scikit-learn integrates machine learning algorithms in the tightly-knit scientific Python world, building upon numpy, scipy, and matplotlib. As a machine-learning module, it provides versatile tools for data mining and analysis in any field of science and engineering. It strives to be simple and efficient, accessible to everybody, and reusable in various contexts.
PackageMaintainer	Fedora Project
PackageName	python3-scikit-learn
PackageRelease	2.fc32
PackageVersion	0.22.1
SHA-1	F83CFCCAD333126AEBC7CBD1D680322CFF6C40CA
SHA-256	A9ADCAC6402F3242E6803C3B3D5446413A23AE4D573920779B720BB312C7437E

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

Key	Value
FileSize	42926540
MD5	2B360ED1EA7819719BC691FFA7A950B2
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	0.23.2-3
SHA-1	0EFDF6198D6016BFEB45A4FEAB45225462FC95C7
SHA-256	0125A78812AA964FB2C612C3CBEC6AA72AFF7DCEFEC6A6F1222C58357E041B47

Key	Value
MD5	C2EB81F2F4FFA86579390FF7D437AA58
PackageArch	aarch64
PackageDescription	Scikit-learn integrates machine learning algorithms in the tightly-knit scientific Python world, building upon numpy, scipy, and matplotlib. As a machine-learning module, it provides versatile tools for data mining and analysis in any field of science and engineering. It strives to be simple and efficient, accessible to everybody, and reusable in various contexts.
PackageMaintainer	Fedora Project
PackageName	python3-scikit-learn
PackageRelease	2.fc32
PackageVersion	0.22.1
SHA-1	BA9E1CFDF19A6783B0B93CE48A0BBED51B38BA93
SHA-256	7A4C5A99C3F3A2C76FB29E124FD5EF82089431B2B87A35FDA68EA979EB04C90F