Parents (Total: 22)

The searched file hash is included in 22 parent files which include package known and seen by metalookup. A sample is included below:

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
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	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

Key	Value
MD5	CBCDE018121FFA504E917445B28EF091
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	1.fc23
PackageVersion	0.16.1
SHA-1	548FC6323226467D21EA89AECAF89425630A7AD5
SHA-256	5E55CC130D3045F7511575EBB93B6B09A4DF4E4A4C127079F33E7CEEDEA82F78

Key	Value
MD5	0C4F32374415CCDA8D571AA31F3D20B1
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	4.fc24
PackageVersion	0.17.1
SHA-1	5513BD93A3C3B030CC6500A683EF48326EB21E74
SHA-256	13F962CFADEE43B02880D50748E7A8B387D2C1BC7A41D66A0C868B48D85D09C4

Key	Value
MD5	7C0C19A3357E4BF8C6478692F36F2B69
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	2.fc22
PackageVersion	0.16.0
SHA-1	5D355EC39F7FA485A66589A10A3223FEFAD174D9
SHA-256	9EE117D9E1AA84C756CB7A1BE823E042EDE2C44261D0AE2A6B6F9A77ED41AC7A

Key	Value
FileSize	1170318
MD5	1F645FC65FD190B34EC64C5F6B3593DC
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) . This package contains the Python 3 version.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-sklearn
PackageSection	python
PackageVersion	0.17.0-4
SHA-1	66D45DAAE442CB9D4FF2F78D008DFD125BBD991F
SHA-256	972C825D88117430F5B1CE5B58BC90E14FD21A358D4787888BBC1D1DFB3ACA40

Key	Value
MD5	6EE9362D62E0E72EF3CFA6095C2BA714
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	2.fc22
PackageVersion	0.16.0
SHA-1	6892325EBCE24E254C82C8C96E037EED0F67E870
SHA-256	61D57E87A3F7779B426CA4E5D0F99D44A5840755B714C116225A1D396B473B0D

Key	Value
MD5	A3B0BF6DA049BC153C311CF8545E1DA1
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	python-scikit-learn
PackageRelease	2.fc22
PackageVersion	0.16.0
SHA-1	79D2A817F0AF635EAE5511F8512D89BBE9B96B50
SHA-256	1EA343E02ADA3862F436A8769CF3A2DF2148AD3EB9F117447C3DEE19DA848E02