sparse_dot | Python wrapper for Intel Math Kernel Library | Machine Learning library
kandi X-RAY | sparse_dot Summary
kandi X-RAY | sparse_dot Summary
sparse_dot is a Python library typically used in Artificial Intelligence, Machine Learning, Numpy applications. sparse_dot has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install sparse_dot' or download it from GitHub, PyPI.
This is a wrapper for the sparse matrix multiplication in the intel MKL library. It is implemented entirely in native python using ctypes. The main advantage to MKL (which motivated this) is multithreaded sparse matrix multiplication. The scipy sparse implementation is single-threaded at the time of writing (2020-01-03). A secondary advantage is the direct multiplication of a sparse and a dense matrix without requiring any intermediate conversion (also multithreaded).
This is a wrapper for the sparse matrix multiplication in the intel MKL library. It is implemented entirely in native python using ctypes. The main advantage to MKL (which motivated this) is multithreaded sparse matrix multiplication. The scipy sparse implementation is single-threaded at the time of writing (2020-01-03). A secondary advantage is the direct multiplication of a sparse and a dense matrix without requiring any intermediate conversion (also multithreaded).
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Quality
Security
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Support
sparse_dot has a low active ecosystem.
It has 23 star(s) with 5 fork(s). There are 4 watchers for this library.
It had no major release in the last 12 months.
There are 3 open issues and 6 have been closed. On average issues are closed in 1 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of sparse_dot is v0.7.1
Quality
sparse_dot has no bugs reported.
Security
sparse_dot has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
sparse_dot is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
sparse_dot releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed sparse_dot and discovered the below as its top functions. This is intended to give you an instant insight into sparse_dot implemented functionality, and help decide if they suit your requirements.
- Compute the dot product of two matrices
- Create a CKSR sparse matrix
- Create a CKL sparse matrix
- Raises an error if sparse matrix is not possible
- Sets the dtype
- Set intypes for ints
- Validate the dtype
- Set int type
- Concatenate a matrix
- Convert scalar
- Convert a dense matrix to dense tensor
- Return an array of the output matrix
- R Solver for sparse matrix A
- Performs QR factorization
- Convert a reference matrix to a csr matrix
- Symbolize two matrices
- Symbolize sparse matrix A
- Symbolize a sparse matrix
- Dense product of two matrices
- Multiplies two matrices
Get all kandi verified functions for this library.
sparse_dot Key Features
No Key Features are available at this moment for sparse_dot.
sparse_dot Examples and Code Snippets
No Code Snippets are available at this moment for sparse_dot.
Community Discussions
Trending Discussions on sparse_dot
QUESTION
how to set background color of a cell using apache pio 4.1.0
Asked 2019-Oct-02 at 03:44
I am trying to set background color using setFillBackgroundColor method , but it seems necessary to use setFillPattern with it. But using setFillPattern method I am not able to find the plain FillPatternType.
...ANSWER
Answered 2019-Oct-02 at 03:44Cell interior uses pattern fills. The fill background color is the color behind the pattern.The fill foreground color is the color of the pattern.
To fill the cell using a plain color, you need using fill foreground color and solid pattern.
See Fills and colors.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install sparse_dot
You can install using 'pip install sparse_dot' or download it from GitHub, PyPI.
You can use sparse_dot like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use sparse_dot like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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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