kandi X-RAY | relation2vec Summary
kandi X-RAY | relation2vec Summary
relation2vec is a Python library. relation2vec has no bugs, it has no vulnerabilities and it has low support. However relation2vec build file is not available. You can download it from GitHub.
relation2vec
relation2vec
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Quality
Security
License
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Support
relation2vec has a low active ecosystem.
It has 25 star(s) with 8 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 0 have been closed. On average issues are closed in 732 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of relation2vec is current.
Quality
relation2vec has 0 bugs and 0 code smells.
Security
relation2vec has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
relation2vec code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
relation2vec does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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relation2vec releases are not available. You will need to build from source code and install.
relation2vec has no build file. You will be need to create the build yourself to build the component from source.
It has 4121 lines of code, 190 functions and 37 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed relation2vec and discovered the below as its top functions. This is intended to give you an instant insight into relation2vec implemented functionality, and help decide if they suit your requirements.
- Train the model
- Load test data
- Parse semEval test data
- Generate batches of data
- Parse a sentence into a graph
- Parse semEval training data
- Load data and labels
- Clean a string
- Extract test data from SemEval test
- Batch normalization layer
- Parse the SemEval TRA training data
- Parse a sentence into a BEL graph
- Iterate over data
- Load 2 data and labels
- Calculate the average error rate
Get all kandi verified functions for this library.
relation2vec Key Features
No Key Features are available at this moment for relation2vec.
relation2vec Examples and Code Snippets
No Code Snippets are available at this moment for relation2vec.
Community Discussions
No Community Discussions are available at this moment for relation2vec.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install relation2vec
You can download it from GitHub.
You can use relation2vec 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 relation2vec 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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