hetmatpy | Python package for matrix storage and operations on hetnets
kandi X-RAY | hetmatpy Summary
kandi X-RAY | hetmatpy Summary
hetmatpy is a Python library typically used in Telecommunications, Media, Advertising, Marketing applications. hetmatpy has no bugs, it has no vulnerabilities, it has build file available and it has low support. However hetmatpy has a Non-SPDX License. You can install using 'pip install hetmatpy' or download it from GitHub, PyPI.
This codebase enables identifying the relevant network connections between a set of query nodes. The method is designed to operate on hetnets (networks with multiple node or relationship types). This project is still under development. Use with caution.
This codebase enables identifying the relevant network connections between a set of query nodes. The method is designed to operate on hetnets (networks with multiple node or relationship types). This project is still under development. Use with caution.
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Support
hetmatpy has a low active ecosystem.
It has 10 star(s) with 9 fork(s). There are 3 watchers for this library.
It had no major release in the last 12 months.
There are 1 open issues and 1 have been closed. On average issues are closed in 11 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of hetmatpy is 0.1.0
Quality
hetmatpy has no bugs reported.
Security
hetmatpy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
hetmatpy 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.
Reuse
hetmatpy releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed hetmatpy and discovered the below as its top functions. This is intended to give you an instant insight into hetmatpy implemented functionality, and help decide if they suit your requirements.
- Calculate DWPC for a short repeat segment
- Weighting a matrix
- Make a copy of a matrix
- Normalize a matrix
- Generate a permutation matrix
- Returns the path to the edges directory
- Save matrix to file
- Permute a permutation of the adjacency matrix
- Decorator for path_counts_cache
- Get the path of a given metapath
- Writes a series of rows to a TSV file
- Compute the degree weight weighted adjacency matrix
- Calculate the degree group for a permutation
- Determines the DWc chain for a given metapath
- Difference of two segments
- Construct a hetmat from a permutation graph
- Convert a metapath
- Convert a graph to xarray Dataset Dataset
- Add a value to the cache
- Compute the degree weighted adjacency matrix
- Create adjacency matrix from metapath
- Compute the diffusion of the given graph
- Order the segments of the metapath
- Perform Dwpc on the given graph
- Combine two GWpc dgp output
- Get node identifiers
Get all kandi verified functions for this library.
hetmatpy Key Features
No Key Features are available at this moment for hetmatpy.
hetmatpy Examples and Code Snippets
No Code Snippets are available at this moment for hetmatpy.
Community Discussions
No Community Discussions are available at this moment for hetmatpy.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install hetmatpy
You can install using 'pip install hetmatpy' or download it from GitHub, PyPI.
You can use hetmatpy 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 hetmatpy 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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