anchor-topic | package supports implementation of anchor-based topic
kandi X-RAY | anchor-topic Summary
kandi X-RAY | anchor-topic Summary
anchor-topic is a Python library. anchor-topic has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install anchor-topic' or download it from GitHub, PyPI.
This package supports implementation of anchor-based topic modeling and variants of the anchoring algorithm in Python 3.
This package supports implementation of anchor-based topic modeling and variants of the anchoring algorithm in Python 3.
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Quality
Security
License
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Support
anchor-topic has a low active ecosystem.
It has 11 star(s) with 1 fork(s). There are no watchers for this library.
It had no major release in the last 12 months.
There are 1 open issues and 0 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of anchor-topic is 0.1.2
Quality
anchor-topic has 0 bugs and 0 code smells.
Security
anchor-topic has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
anchor-topic code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
anchor-topic is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
anchor-topic 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.
Installation instructions, examples and code snippets are available.
It has 712 lines of code, 52 functions and 15 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed anchor-topic and discovered the below as its top functions. This is intended to give you an instant insight into anchor-topic implemented functionality, and help decide if they suit your requirements.
- Compute the candidates for a set of candidates
- R Exponential gradient
- Generate a greedy pair of anchors
- Compute the covariance matrix
- Compute the probability for each word in the given word_doc
- Identify linked candidates
- Normalize a matrix
- Project a matrix A into a new shape
- Computes the logarithm of a logarithm
- Compute basis vector
- Calculate k - th candidates
- Generate greedy candidate anchors
- Identify candidates in a matrix
- Given a set of anchors and a set of anchors update the features
- Augment Q
Get all kandi verified functions for this library.
anchor-topic Key Features
No Key Features are available at this moment for anchor-topic.
anchor-topic Examples and Code Snippets
No Code Snippets are available at this moment for anchor-topic.
Community Discussions
No Community Discussions are available at this moment for anchor-topic.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install anchor-topic
Install the package through terminal with this command:. Dependencies (Numpy, Scipy, Numba) will be installed as well.
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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