Parents (Total: 46)

The searched file hash is included in 46 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	1D0C6AB50EBD1BF6667D3261B5645A4E
PackageArch	ppc64
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	python-scikit-learn
PackageRelease	3.fc20
PackageVersion	0.14.1
SHA-1	0169901D8BFCBF3C6BF66F677D486CB311B6F443
SHA-256	965CEC779FC6E5074A2AC7165B26BA28D0778BD2CB53441F1380C3C8BD0B169B

Key	Value
MD5	9397956255C7AF2946DEB3BCD69CA260
PackageArch	ppc64
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	python2-scikit-learn
PackageRelease	4.fc24
PackageVersion	0.17.1
SHA-1	029E2D6D842ACC8F5BF9A50BBFA6EE847902189C
SHA-256	880E8AC446B5B246648AAFAC6AFC602AEE63F7C6377B9A8C7C7F61849C008326

Key	Value
FileSize	934004
MD5	7801A9F64B657F90DAA4C6CFDACE2903
PackageDescription	Python modules for machine learning and data mining scikit-learn is a collection of Python modules relevant to machine/statistical learning and data mining. Non-exhaustive list of included functionality: - Gaussian Mixture Models - Manifold learning - kNN - SVM (via LIBSVM)
PackageMaintainer	NeuroDebian Team <team@neuro.debian.net>
PackageName	python-sklearn
PackageSection	python
PackageVersion	0.14.1-3
SHA-1	13F966DEE0A975F7A25B910D03BA7AD754F9804A
SHA-256	0E39537E14F52DA9D534835DA3673B2ED5B712F6791C94BC365CB9236AF17E62

Key	Value
MD5	602BD89EE04B570B5AA229E02F35A61B
PackageArch	s390x
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	python-scikit-learn
PackageRelease	1.fc21
PackageVersion	0.15.2
SHA-1	1A26BBC9E5CA3AD56623399C8BA71988BA03B17E
SHA-256	59073914549E965CDBBBA42E8CB75DE2EEFD01C7D9CC37B9D1EEB0C231B0238E

Key	Value
MD5	C00DA432FC10A2712B2B8953E60DB3AD
PackageArch	ppc64le
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	1.fc21
PackageVersion	0.15.2
SHA-1	2EA6A815B85F92A81FD6088373043253650927DF
SHA-256	B215D8898CF3F251D3410EDD49893A25A69D098089A8A483B4923BD4D15C7849

Key	Value
MD5	A1737D10EAC4A74D850B7689AD880760
PackageArch	s390
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.fc22
PackageVersion	0.16.0
SHA-1	36FDC3A429E4156C1F2A20CF6D3B8735B1A5E6F9
SHA-256	8CEE5A3D32C6F0571163A26BACF635D6266B1BBBABD7FEA73B8718AA595A7B30

Key	Value
MD5	6677E7C097338985E2AC6468B1D36446
PackageArch	ppc64
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	1.fc23
PackageVersion	0.16.1
SHA-1	418AF4A5BF186D1C45C3DB73CA89B3D323A66D85
SHA-256	35B8D030B2407147C3E789218DB00351EB1EAC7CF8D407C2B267AC5F62A99571

Key	Value
MD5	1C82564E1B0A043FECEAA5F445EB6EC0
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	1.fc21
PackageVersion	0.15.2
SHA-1	4C3EF65F75574E4835D511B43A3552C4CE605D33
SHA-256	C63581ADED197E5C4B94668CC2C14DC2B31D088A56320A79A88A54A117239111

Key	Value
MD5	60DF20DE3C40D17EF02D757AE5DDF78F
PackageArch	ppc64
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	1.fc21
PackageVersion	0.15.2
SHA-1	531E3F8DAB2AAA6BEE9EBB9581F0891E76BF8AE1
SHA-256	C573A3217D747F3A20E5FA8C64244D86FEFA27665D3EF49048035096FB343113

Key	Value
MD5	BCF32221C8DD22DF9CFE204375B750A2
PackageArch	ppc64
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	4.fc24
PackageVersion	0.17.1
SHA-1	547DB711D4863545256C4D84E1B956593497B713
SHA-256	76E3540F2E6683CF0BC08CBA78A3756E50A04EB5661067EBAA99481A5CAA6759