tmsc | Topics Modeling on Source Code | Topic Modeling library

by src-d Python Version: 0.1.5a0 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | tmsc Summary

tmsc is a Python library typically used in Artificial Intelligence, Topic Modeling applications. tmsc has no bugs, it has no vulnerabilities, it has build file available and it has low support. However tmsc has a Non-SPDX License. You can install using 'pip install tmsc' or download it from GitHub, PyPI.

TMSC (Topics Modeling on Source Code) is a command line application to discover the topics of a repository the user provides. A "topic" is a set of keywords, in this case source code identifiers, which typically occur together. This project has nothing to do with GitHub topics. Automatic topic inference can be useful for cataloging repositories or mining concepts from them. The current model was trained on GitHub repositories cloned in October 2016 after de-fuzzy-forking. There is a paper on it.

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Quality

Security

License

Reuse

Support

tmsc has a low active ecosystem.

It has 20 star(s) with 10 fork(s). There are 11 watchers for this library.

It had no major release in the last 12 months.

There are 5 open issues and 5 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 tmsc is 0.1.5a0

Quality

tmsc has 0 bugs and 0 code smells.

Security

tmsc has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

tmsc code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

tmsc has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

tmsc 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 are not available. Examples and code snippets are available.

It has 223 lines of code, 6 functions and 5 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed tmsc and discovered the below as its top functions. This is intended to give you an instant insight into tmsc implemented functionality, and help decide if they suit your requirements.

Main entry point .
Query the given URL .
Initialize the application .
Initialize uast2bow .
Convert uast_uast_uast tobow .

Get all kandi verified functions for this library.

tmsc Key Features

No Key Features are available at this moment for tmsc.

tmsc Examples and Code Snippets

No Code Snippets are available at this moment for tmsc.

Community Discussions

Trending Discussions on tmsc

Making a dynamic selector excel

QUESTION

Making a dynamic selector excel

Asked 2020-Jan-22 at 04:37

I have some a macro that assigns cataogories to various rows based on keywords. This works well however is heavy on the machine as it is using the whole column. How can I set it so that It will just search for these words until the last entry in column A:A?

...

ANSWER

Answered 2020-Jan-21 at 22:04

You can use the power of vba to build the formulas and save you having to typing so much, Your question said column A but your code shows column B. I have used column B,

Source https://stackoverflow.com/questions/59845530

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install tmsc

You can install using 'pip install tmsc' or download it from GitHub, PyPI.
You can use tmsc 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.