Markov-Speaking | 一个使用马尔科夫链算法构建中/英文语句的类，提供了解析文本和生成语言的接口

by Forec Python Version: Current License: ISC

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

kandi X-RAY | Markov-Speaking Summary

Markov-Speaking is a Python library. Markov-Speaking has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Markov-Speaking build file is not available. You can download it from GitHub.

This project is an package generating random sentences by markov chain. If you have any problems/ideas, please email me, or open your PR. I feel honored to learn from your help.

Support

Quality

Security

License

Reuse

Support

Markov-Speaking has a low active ecosystem.

It has 28 star(s) with 18 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

Markov-Speaking has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Markov-Speaking is current.

Quality

Markov-Speaking has 0 bugs and 0 code smells.

Security

Markov-Speaking has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Markov-Speaking code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Markov-Speaking is licensed under the ISC License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

Markov-Speaking releases are not available. You will need to build from source code and install.

Markov-Speaking has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Markov-Speaking saves you 33 person hours of effort in developing the same functionality from scratch.

It has 89 lines of code, 4 functions and 1 files.

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

Top functions reviewed by kandi - BETA

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

Train the experiment .
Say something .
Initialize the model .
get dic

Get all kandi verified functions for this library.

Markov-Speaking Key Features

No Key Features are available at this moment for Markov-Speaking.

Markov-Speaking Examples and Code Snippets

No Code Snippets are available at this moment for Markov-Speaking.

Community Discussions

No Community Discussions are available at this moment for Markov-Speaking.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install Markov-Speaking

You can download it from GitHub.
You can use Markov-Speaking 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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