kandi X-RAY | DocRed Summary
kandi X-RAY | DocRed Summary
DocRed is a Python library. DocRed has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
DocRed
DocRed
Support
Quality
Security
License
Reuse
Support
DocRed has a low active ecosystem.
It has 36 star(s) with 6 fork(s). There are no watchers for this library.
It had no major release in the last 6 months.
There are 5 open issues and 0 have been closed. On average issues are closed in 185 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of DocRed is current.
Quality
DocRed has 0 bugs and 0 code smells.
Security
DocRed has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
DocRed code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
DocRed 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.
Reuse
DocRed releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
DocRed saves you 1152 person hours of effort in developing the same functionality from scratch.
It has 2601 lines of code, 156 functions and 17 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed DocRed and discovered the below as its top functions. This is intended to give you an instant insight into DocRed implemented functionality, and help decide if they suit your requirements.
- Train the model
- Test the model
- Creates a training batch
- Get the test batch
- Load Sentence index
- Evaluate the given model
- Train the model using the given model pattern
- Get the real test batch
- Evaluate the model
- Returns a n2 training batch
- Generate the set of train facts
- Extract subtoken ids from a list of tokens
- Tokenize a list of tokens
- Convert tokens to ids
- Flattens a list of lists
- Perform a forward projection
- Calculate the attention score
- Evaluate the model against the given model pattern
- Evaluate the model on the given model
Get all kandi verified functions for this library.
DocRed Key Features
No Key Features are available at this moment for DocRed.
DocRed Examples and Code Snippets
No Code Snippets are available at this moment for DocRed.
Community Discussions
No Community Discussions are available at this moment for DocRed.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install DocRed
You can download it from GitHub.
You can use DocRed 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 DocRed 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 .
Find more information at:
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