| Key | Value |
|---|---|
| FileName | ./usr/include/ensmallen_bits/sgd/sgd.hpp |
| FileSize | 9807 |
| MD5 | 3FE6BE868DFF6B48C8CE9A87BFB38804 |
| SHA-1 | 0843AE7A03FB02FA707FF9EEFC2F67BC360717EC |
| SHA-256 | 13E84E81FC79E524D64B9684442DA3DEB09ED345903565726F7B86919091E5E7 |
| SSDEEP | 192:djD5f8ujo2GjYBDvHuG0G9u9bCBidIqZF43wu63UHhIFA:dhVBGjYBTHuG0G9u9b0gIqZF43wu63UD |
| TLSH | T13A12846E7181E3735A2723F1878F12E0C734A164B278998470AF4A98EF5B57411AF7EC |
| hashlookup:parent-total | 10 |
| hashlookup:trust | 100 |
The searched file hash is included in 10 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| MD5 | ED731E7328206D51AB4A6E0BEB19C03F |
| PackageArch | x86_64 |
| PackageDescription | ensmallen is a header-only C++ library for efficient mathematical optimization. It provides a simple set of abstractions for writing an objective function to optimize. It also provides a large set of standard and cutting-edge optimizers that can be used for virtually any mathematical optimization task. These include full-batch gradient descent techniques, small-batch techniques, gradient-free optimizers, and constrained optimization. |
| PackageMaintainer | Fedora Project |
| PackageName | ensmallen-devel |
| PackageRelease | 1.el8 |
| PackageVersion | 2.11.1 |
| SHA-1 | 2DEA705482AE0B81FB044DBAACE09F5E2F4019F8 |
| SHA-256 | D10586AE9C89A07EE41EB8283E2824ADA0EAF3D2D6A8DBABC832A27DCCC66F35 |
| Key | Value |
|---|---|
| MD5 | B7D539A1202A03869BF4F5FB3BDD31C2 |
| PackageArch | ppc64le |
| PackageDescription | ensmallen is a header-only C++ library for efficient mathematical optimization. It provides a simple set of abstractions for writing an objective function to optimize. It also provides a large set of standard and cutting-edge optimizers that can be used for virtually any mathematical optimization task. These include full-batch gradient descent techniques, small-batch techniques, gradient-free optimizers, and constrained optimization. |
| PackageMaintainer | Fedora Project |
| PackageName | ensmallen-devel |
| PackageRelease | 1.el7 |
| PackageVersion | 2.11.1 |
| SHA-1 | 99EC3BD242818AEABAAE64C6535A9770E3CE90BB |
| SHA-256 | 44295096F399B2156C8DDA1474E13F93A3190A5C10D594A2F534BFF5F0553B79 |
| Key | Value |
|---|---|
| MD5 | C5DDF5BCC5E6B1F1AB7616963AB00626 |
| PackageArch | x86_64 |
| PackageDescription | ensmallen is a header-only C++ library for efficient mathematical optimization. It provides a simple set of abstractions for writing an objective function to optimize. It also provides a large set of standard and cutting-edge optimizers that can be used for virtually any mathematical optimization task. These include full-batch gradient descent techniques, small-batch techniques, gradient-free optimizers, and constrained optimization. |
| PackageMaintainer | Fedora Project |
| PackageName | ensmallen-devel |
| PackageRelease | 1.el7 |
| PackageVersion | 2.11.1 |
| SHA-1 | 6B2A698E10C0BC5F23F491A6CE18801DD63F267C |
| SHA-256 | 2D54A529F4F168F3AEBFF4F9919F8A2FDD51C1B9F1B62293180EAE36844798DC |
| Key | Value |
|---|---|
| MD5 | 9D1DCBD2D8B659FD604D077718107130 |
| PackageArch | s390x |
| PackageDescription | ensmallen is a header-only C++ library for efficient mathematical optimization. It provides a simple set of abstractions for writing an objective function to optimize. It also provides a large set of standard and cutting-edge optimizers that can be used for virtually any mathematical optimization task. These include full-batch gradient descent techniques, small-batch techniques, gradient-free optimizers, and constrained optimization. |
| PackageMaintainer | Fedora Project |
| PackageName | ensmallen-devel |
| PackageRelease | 1.el8 |
| PackageVersion | 2.11.1 |
| SHA-1 | DCC2E84525B954593D4C3925C830B2B3B632A30D |
| SHA-256 | 1A8A470F339BDCF591C452F0223AB8BB5BEB979CE9A25325960B470220B81E5F |
| Key | Value |
|---|---|
| MD5 | 7DF7AF341B2F856F09F4E949A262177F |
| PackageArch | armv7hl |
| PackageDescription | ensmallen is a header-only C++ library for efficient mathematical optimization. It provides a simple set of abstractions for writing an objective function to optimize. It also provides a large set of standard and cutting-edge optimizers that can be used for virtually any mathematical optimization task. These include full-batch gradient descent techniques, small-batch techniques, gradient-free optimizers, and constrained optimization. |
| PackageMaintainer | Fedora Project |
| PackageName | ensmallen-devel |
| PackageRelease | 2.fc32 |
| PackageVersion | 2.11.1 |
| SHA-1 | F52882580331A703B58F305BB64AA79CB2F2C617 |
| SHA-256 | 5CDEA132E47F69B34D9E33AC3DC4C4859626F0AA3C66F32D2B905BBA266F01A1 |
| Key | Value |
|---|---|
| MD5 | 761B355A33198F19771918C91C39694E |
| PackageArch | i686 |
| PackageDescription | ensmallen is a header-only C++ library for efficient mathematical optimization. It provides a simple set of abstractions for writing an objective function to optimize. It also provides a large set of standard and cutting-edge optimizers that can be used for virtually any mathematical optimization task. These include full-batch gradient descent techniques, small-batch techniques, gradient-free optimizers, and constrained optimization. |
| PackageMaintainer | Fedora Project |
| PackageName | ensmallen-devel |
| PackageRelease | 2.fc32 |
| PackageVersion | 2.11.1 |
| SHA-1 | 1ED287215683F3489386131365BA87B7FFD9E0E2 |
| SHA-256 | 12DFA64E3BAB18AFC1829DE93DE50E1F224BDBA27F8888E74F7015F288C88484 |
| Key | Value |
|---|---|
| MD5 | E79D2CF7C1FDC40F3A257AD615F93DD3 |
| PackageArch | x86_64 |
| PackageDescription | ensmallen is a header-only C++ library for efficient mathematical optimization. It provides a simple set of abstractions for writing an objective function to optimize. It also provides a large set of standard and cutting-edge optimizers that can be used for virtually any mathematical optimization task. These include full-batch gradient descent techniques, small-batch techniques, gradient-free optimizers, and constrained optimization. |
| PackageMaintainer | Fedora Project |
| PackageName | ensmallen-devel |
| PackageRelease | 2.fc32 |
| PackageVersion | 2.11.1 |
| SHA-1 | B416CAC1B0C2700AE2BF947BBAF7EE20762B6191 |
| SHA-256 | 2EEE1A3B53F91B40CD4B541121B399208E74B7234BB9C9561562D66A118EFA94 |
| Key | Value |
|---|---|
| MD5 | 38180CB25B2DD3082338E19329C994D3 |
| PackageArch | aarch64 |
| PackageDescription | ensmallen is a header-only C++ library for efficient mathematical optimization. It provides a simple set of abstractions for writing an objective function to optimize. It also provides a large set of standard and cutting-edge optimizers that can be used for virtually any mathematical optimization task. These include full-batch gradient descent techniques, small-batch techniques, gradient-free optimizers, and constrained optimization. |
| PackageMaintainer | Fedora Project |
| PackageName | ensmallen-devel |
| PackageRelease | 1.el8 |
| PackageVersion | 2.11.1 |
| SHA-1 | 2C9AE24686817AFECC08FC2B94C4E9B087440C56 |
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| Key | Value |
|---|---|
| MD5 | 50571310178E70A755C67A4419FB6C4B |
| PackageArch | aarch64 |
| PackageDescription | ensmallen is a header-only C++ library for efficient mathematical optimization. It provides a simple set of abstractions for writing an objective function to optimize. It also provides a large set of standard and cutting-edge optimizers that can be used for virtually any mathematical optimization task. These include full-batch gradient descent techniques, small-batch techniques, gradient-free optimizers, and constrained optimization. |
| PackageMaintainer | Fedora Project |
| PackageName | ensmallen-devel |
| PackageRelease | 2.fc32 |
| PackageVersion | 2.11.1 |
| SHA-1 | F140F45EF59033874575B5A2DBBE0E67F593D945 |
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| Key | Value |
|---|---|
| MD5 | E4EAF44018DCE669D0E652F21F5D6BB8 |
| PackageArch | ppc64le |
| PackageDescription | ensmallen is a header-only C++ library for efficient mathematical optimization. It provides a simple set of abstractions for writing an objective function to optimize. It also provides a large set of standard and cutting-edge optimizers that can be used for virtually any mathematical optimization task. These include full-batch gradient descent techniques, small-batch techniques, gradient-free optimizers, and constrained optimization. |
| PackageMaintainer | Fedora Project |
| PackageName | ensmallen-devel |
| PackageRelease | 1.el8 |
| PackageVersion | 2.11.1 |
| SHA-1 | 3EA1C39BD054C05D41DF7535A878CDB13421BC60 |
| SHA-256 | 4AAD29D8E84C59A505C003A890020DB3A5E468844BE27B46588F7CF8BC079C97 |