libmf | LIBMF is a library for large-scale sparse matrix | Machine Learning library

 by   cjlin1 C++ Version: Current License: Non-SPDX

kandi X-RAY | libmf Summary

kandi X-RAY | libmf Summary

libmf is a C++ library typically used in Artificial Intelligence, Machine Learning applications. libmf has no bugs, it has no vulnerabilities and it has low support. However libmf has a Non-SPDX License. You can download it from GitHub.

LIBMF is a library for large-scale sparse matrix factorization. For the optimization problem it solves and the overall framework, please refer to [3].
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              libmf has a low active ecosystem.
              It has 180 star(s) with 68 fork(s). There are 16 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 11 open issues and 11 have been closed. On average issues are closed in 243 days. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of libmf is current.

            kandi-Quality Quality

              libmf has 0 bugs and 0 code smells.

            kandi-Security Security

              libmf has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              libmf code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              libmf has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

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              libmf releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.

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            libmf Key Features

            No Key Features are available at this moment for libmf.

            libmf Examples and Code Snippets

            No Code Snippets are available at this moment for libmf.

            Community Discussions

            QUESTION

            How to access data in this model class?
            Asked 2021-Dec-13 at 17:38

            I'm using package libmf to do parallel non-negative matrix factorization, i.e., X = WH. I use the method fit from the class MF. As mentioned in below description, the resulting matrices are stored in MF.model.

            ...

            ANSWER

            Answered 2021-Dec-13 at 17:38

            I'm not that deep in that library but here are a few observations that might be interesting: (Building on top of the code provided)

            TL;DR

            You can either use the engine.q_factors;engine.p_factors to obtain the P;Q matrices or you can iterate through engine.model.P[i]:

            Source https://stackoverflow.com/questions/70336862

            QUESTION

            Confustion about Android NDK libc++ libc++_shared, libstdc++
            Asked 2021-Nov-30 at 13:11

            I am getting very confused trying to build a simple C++ library using Android NDK 23 (23.1.7779620). I am using CMake and this is a very simple program:

            ...

            ANSWER

            Answered 2021-Nov-30 at 10:12

            By passing -DANDROID_STL=c++_shared to the CMake invocation you explicitly asked for the shared runtime as opposed to the default runtime.

            As explained in the documentation, the rules are simple:

            1. if all your native code is in a single library, use the static libc++ (the default) such that unused code can be removed and you have the smallest possible application package.
            2. As soon as you include an extra library – either because you include a precompiled library from somewhere else or you include an Android AAR file that happens to include native code – you must switch to the shared runtime.

            The rationale for the rules is simple: the C++ runtime has certain global data structures that must be initialized once and must only exist once in memory. If you were accidentally to load two libraries that both link the C++ runtime statically, you have (for instance) two conflicting memory allocators. This will result in crashes when you free or delete memory allocated by the other library, or if you pass a C++ STL object like std::string across library boundaries.

            For completeness, in older NDKs libstdc++ (the GNU C++ runtime) was also included in the NDK, but as of NDK r18 that is no longer the case.

            Source https://stackoverflow.com/questions/70166739

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install libmf

            Requirements To compile LIBMF, a compiler which supports C++11 is required. LIBMF can use SSE, AVX, and OpenMP for acceleration. See Section SSE, AVX, and OpenMP if you want to disable or enable these features.
            Requirements To compile LIBMF, a compiler which supports C++11 is required. LIBMF can use SSE, AVX, and OpenMP for acceleration. See Section SSE, AVX, and OpenMP if you want to disable or enable these features.
            Unix & Cygwin Type `make' to build `mf-train' and `mf-precict.'
            Windows & Mac See `Building Windows and Mac Binaries' to compile. For Windows, pre-built binaries are available in the directory `windows.'

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            https://github.com/cjlin1/libmf.git

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            gh repo clone cjlin1/libmf

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            git@github.com:cjlin1/libmf.git

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