libmf | LIBMF is a library for large-scale sparse matrix | Machine Learning library
kandi X-RAY | libmf Summary
kandi X-RAY | libmf Summary
LIBMF is a library for large-scale sparse matrix factorization. For the optimization problem it solves and the overall framework, please refer to [3].
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of libmf
libmf Key Features
libmf Examples and Code Snippets
Community Discussions
Trending Discussions on libmf
QUESTION
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 17:38I'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;DRYou 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]
:
QUESTION
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 10:12By 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:
- 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.
- 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.
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.
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
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page