cd-diagram | Critical difference diagram with Wilcoxon-Holm post | Performance Testing library
kandi X-RAY | cd-diagram Summary
kandi X-RAY | cd-diagram Summary
cd-diagram is a Python library typically used in Testing, Performance Testing applications. cd-diagram has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However cd-diagram build file is not available. You can download it from GitHub.
Critical difference diagram with Wilcoxon-Holm post-hoc analysis.
Critical difference diagram with Wilcoxon-Holm post-hoc analysis.
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Quality
Security
License
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Support
cd-diagram has a low active ecosystem.
It has 75 star(s) with 23 fork(s). There are 6 watchers for this library.
It had no major release in the last 6 months.
There are 0 open issues and 5 have been closed. On average issues are closed in 13 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of cd-diagram is current.
Quality
cd-diagram has 0 bugs and 0 code smells.
Security
cd-diagram has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
cd-diagram code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
cd-diagram is licensed under the GPL-3.0 License. This license is Strong Copyleft.
Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
Reuse
cd-diagram releases are not available. You will need to build from source code and install.
cd-diagram has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
cd-diagram saves you 86 person hours of effort in developing the same functionality from scratch.
It has 220 lines of code, 15 functions and 1 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed cd-diagram and discovered the below as its top functions. This is intended to give you an instant insight into cd-diagram implemented functionality, and help decide if they suit your requirements.
- Draws a directed diagram
- Graph GraphRanks
- Fills the Wilcoxon correlation
- Forms the cliques
Get all kandi verified functions for this library.
cd-diagram Key Features
No Key Features are available at this moment for cd-diagram.
cd-diagram Examples and Code Snippets
No Code Snippets are available at this moment for cd-diagram.
Community Discussions
Trending Discussions on cd-diagram
QUESTION
How to use TensorFlow RelativePositionEmbedding layers with batches?
Asked 2022-Mar-10 at 09:57
I'm trying to incorporate a RelativePositionEmbedding layer into a transformer example. The embedding layer can be found in the build_model method below:
ANSWER
Answered 2022-Mar-10 at 09:57I do not think you can pass the output of the RelativePositionEmbedding directly to another layer. If you take a look here, the authors are adding the output of this layer to the original input. Your code will work if you change your model like this:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install cd-diagram
You can download it from GitHub.
You can use cd-diagram 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 cd-diagram 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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