Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

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	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	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