kandi X-RAY | char_featurizer Summary
kandi X-RAY | char_featurizer Summary
char_featurizer is a Python library. char_featurizer has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can install using 'pip install char_featurizer' or download it from GitHub, PyPI.
char_featurizer
char_featurizer
Support
Quality
Security
License
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Support
char_featurizer has a low active ecosystem.
It has 75 star(s) with 14 fork(s). There are 4 watchers for this library.
It had no major release in the last 6 months.
There are 2 open issues and 0 have been closed. On average issues are closed in 79 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of char_featurizer is current.
Quality
char_featurizer has 0 bugs and 0 code smells.
Security
char_featurizer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
char_featurizer code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
char_featurizer 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
char_featurizer releases are not available. You will need to build from source code and install.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
It has 399 lines of code, 34 functions and 15 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed char_featurizer and discovered the below as its top functions. This is intended to give you an instant insight into char_featurizer implemented functionality, and help decide if they suit your requirements.
- Fills a feature tensor
- Returns the data shape of the featurizer
- Get the data type of the featurizer
- Extract features from a given character sequence
- Get the vocabulary
- Extract features from a single character sequence
- Extract tone from a character sequence
- Extract Chinese characters from a string
- Fully featurize a sentence
- Feature features
- Extract characters from the given character sequence
- Return version
- Extract characters from a character sequence
- Return the value of an input character
- Return the value of the given character
Get all kandi verified functions for this library.
char_featurizer Key Features
No Key Features are available at this moment for char_featurizer.
char_featurizer Examples and Code Snippets
No Code Snippets are available at this moment for char_featurizer.
Community Discussions
No Community Discussions are available at this moment for char_featurizer.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install char_featurizer
You can install using 'pip install char_featurizer' or download it from GitHub, PyPI.
You can use char_featurizer 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 char_featurizer 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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