Parents (Total: 5)

The searched file hash is included in 5 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	1BD49A3C54C47DADA9C782A9606715ED
PackageArch	ppc64le
PackageDescription	This package contains the documentation-files for rapidjson.
PackageMaintainer	Fedora Project
PackageName	rapidjson-doc
PackageRelease	2.el7
PackageVersion	1.1.0
SHA-1	6751302F4AE23A3A1FDCE24AEF0CD45D72390BE8
SHA-256	00B9067ABF12944BD57DF7D7A5260E3DADC9BF8E3570FB694AA0B1853F838D8B

Key	Value
MD5	05DD9CA61BC4D8A34562058246750D74
PackageArch	x86_64
PackageDescription	This package contains the documentation-files for rapidjson.
PackageMaintainer	Fedora Project
PackageName	rapidjson-doc
PackageRelease	2.el7
PackageVersion	1.1.0
SHA-1	E442C169604EC031C4C8F018F067919EBD439AB2
SHA-256	9D5E9C6CAE1AD489568ACF5A554A253575294EE6ABC456950DAC928BBAE6FCF5

Key	Value
MD5	9F04C76FC1006F651A11CC10CC30A0AA
PackageArch	aarch64
PackageDescription	This package contains the documentation-files for rapidjson.
PackageMaintainer	Fedora Project
PackageName	rapidjson-doc
PackageRelease	2.el7
PackageVersion	1.1.0
SHA-1	E2C669A50B057C191E64107458094FAF9941A42A
SHA-256	DDF4345DE3AC11E37DB233D51795D6E6EB4AC1A1354067AA6C10C7F25733067E

Key	Value
FileSize	23788930
MD5	FD9D72B20B307B7432B20371D1E1BB9F
PackageDescription	Large Scale Machine Learning Toolbox SHOGUN - is a new machine learning toolbox with focus on large scale kernel methods and especially on Support Vector Machines (SVM) with focus to bioinformatics. It provides a generic SVM object interfacing to several different SVM implementations. Each of the SVMs can be combined with a variety of the many kernels implemented. It can deal with weighted linear combination of a number of sub-kernels, each of which not necessarily working on the same domain, where an optimal sub-kernel weighting can be learned using Multiple Kernel Learning. Apart from SVM 2-class classification and regression problems, a number of linear methods like Linear Discriminant Analysis (LDA), Linear Programming Machine (LPM), (Kernel) Perceptrons and also algorithms to train hidden markov models are implemented. The input feature-objects can be dense, sparse or strings and of type int/short/double/char and can be converted into different feature types. Chains of preprocessors (e.g. substracting the mean) can be attached to each feature object allowing for on-the-fly pre-processing. . SHOGUN comes in different flavours, a stand-a-lone version and also with interfaces to Matlab(tm), R, Octave, Readline and Python. This is the Chinese user and developer documentation.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	shogun-doc-cn
PackageSection	doc
PackageVersion	3.1.1-1
SHA-1	FD7CAA9393703342ABC98013EFCA96EA573FC933
SHA-256	D4D9AE27A2CA3E1834719889F724BC790E02250BB2050B6F7CC53E13A8DA0CEF

Key	Value
MD5	B857D26A86922D1A1384D163BC4A4EEF
PackageArch	ppc64
PackageDescription	This package contains the documentation-files for rapidjson.
PackageMaintainer	Fedora Project
PackageName	rapidjson-doc
PackageRelease	2.el7
PackageVersion	1.1.0
SHA-1	C123BF1F60F35AB3D439DBBC12CF827592E86606
SHA-256	DD8DC8776269A6590AB1A67DB63A5F7F525212525BAA6D067726A81C3B5E8CA5