lmtc-eurlex57k | Scale Multi-Label Text Classification
kandi X-RAY | lmtc-eurlex57k Summary
kandi X-RAY | lmtc-eurlex57k Summary
lmtc-eurlex57k is a Python library. lmtc-eurlex57k has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
Large-Scale Multi-Label Text Classification on EU Legislation
Large-Scale Multi-Label Text Classification on EU Legislation
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Quality
Security
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Support
lmtc-eurlex57k has a low active ecosystem.
It has 65 star(s) with 10 fork(s). There are 8 watchers for this library.
It had no major release in the last 6 months.
There are 0 open issues and 6 have been closed. On average issues are closed in 24 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of lmtc-eurlex57k is current.
Quality
lmtc-eurlex57k has 0 bugs and 0 code smells.
Security
lmtc-eurlex57k has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
lmtc-eurlex57k code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
lmtc-eurlex57k is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
lmtc-eurlex57k 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 are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed lmtc-eurlex57k and discovered the below as its top functions. This is intended to give you an instant insight into lmtc-eurlex57k implemented functionality, and help decide if they suit your requirements.
- Train the model
- Compiles the model
- Compile BERT
- Compute DCG score
- Compute Bigrus
- Compute the ranking precision for a given corpus
- Tokenize text
- Convert to unicode
- Split text into tokens
- Vectorize input sequences
- Encode a sentence
- Calculate DCG from ranking
- Calculate the DCG from a ranking
- Calculate the gradient of the function
- Compute the dot product of x and kernel
- Compute attention scores
- Calculates DCG from ranking
- Configures the lmtc configuration
- Compute the attention
- Calculate the weighted sum
- Calculate the ranking precision
- Compute the average precision score of the corpus
- Calculate DCG score
- Load vocabulary from file
Get all kandi verified functions for this library.
lmtc-eurlex57k Key Features
No Key Features are available at this moment for lmtc-eurlex57k.
lmtc-eurlex57k Examples and Code Snippets
No Code Snippets are available at this moment for lmtc-eurlex57k.
Community Discussions
No Community Discussions are available at this moment for lmtc-eurlex57k.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install lmtc-eurlex57k
You can download it from GitHub.
You can use lmtc-eurlex57k 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 lmtc-eurlex57k 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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