xswap | Python library for degree-preserving | Machine Learning library
kandi X-RAY | xswap Summary
kandi X-RAY | xswap Summary
xswap is a C library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. xswap has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
XSwap is an algorithm for degree-preserving network randomization (permutation) [1]. Permuted networks can be used for a number of purposes in network analysis, including for generating counterfactual distributions of features when only the network's degree sequence is maintained or for computing a prior probability of an edge given only the network's degree sequence. Overall, permuted networks allow one to quantify the effects of degree on analysis and prediction methods. Understanding this effect is useful when a network's degree sequence is subject to biases. This implementation is a modified version of the algorithm due to Hanhijärvi et al. with two additional parameters (allow_self_loops and allow_antiparallel), which enable greater generalizability to bipartite, directed, and undirected networks.
XSwap is an algorithm for degree-preserving network randomization (permutation) [1]. Permuted networks can be used for a number of purposes in network analysis, including for generating counterfactual distributions of features when only the network's degree sequence is maintained or for computing a prior probability of an edge given only the network's degree sequence. Overall, permuted networks allow one to quantify the effects of degree on analysis and prediction methods. Understanding this effect is useful when a network's degree sequence is subject to biases. This implementation is a modified version of the algorithm due to Hanhijärvi et al. with two additional parameters (allow_self_loops and allow_antiparallel), which enable greater generalizability to bipartite, directed, and undirected networks.
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xswap has a low active ecosystem.
It has 7 star(s) with 4 fork(s). There are 3 watchers for this library.
It had no major release in the last 12 months.
There are 4 open issues and 3 have been closed. On average issues are closed in 3 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of xswap is v0.0.2
Quality
xswap has 0 bugs and 0 code smells.
Security
xswap has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
xswap code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
xswap is licensed under the BSD-2-Clause License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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xswap releases are available to install and integrate.
Installation instructions are not available. Examples and code snippets are available.
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xswap Key Features
No Key Features are available at this moment for xswap.
xswap Examples and Code Snippets
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>>> edges = [(0, 1), (1, 0)]
>>> permuted_edges, permutation_statistics = xswap.permute_edge_list(
edges, allow_self_loops=True, allow_antiparallel=True,
multiplier=10)
>>> permuted_edges
[(0, 0), (1, 1)]
&g
Community Discussions
Trending Discussions on xswap
QUESTION
std::sort function is not sorting a vector, and I don't know why?
Asked 2020-Sep-28 at 05:00
I have written a code to implement the quicksort algorithm in c++, it is working but the std::sort() function is not working at all. Please explain to me why.
...ANSWER
Answered 2020-Sep-28 at 05:00std::vector::reserve
is a hint to the container to enable fewer reallocations. It doesn't actually make v[5]
valid. Instead, use std::vector::resize()
.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install xswap
You can download it from GitHub.
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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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