tagger_rewriter | Dialogue Rewriting Introduction Essay

by zhusleep Python Version: Current License: No License

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

kandi X-RAY | tagger_rewriter Summary

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

Dialogue Rewriting Introduction Essay

Support

Quality

Security

License

Reuse

Support

tagger_rewriter has a low active ecosystem.

It has 74 star(s) with 23 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 3 have been closed. On average issues are closed in 50 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of tagger_rewriter is current.

Quality

tagger_rewriter has 0 bugs and 0 code smells.

Security

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

tagger_rewriter code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

tagger_rewriter 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

tagger_rewriter releases are not available. You will need to build from source code and install.

tagger_rewriter 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.

tagger_rewriter saves you 216 person hours of effort in developing the same functionality from scratch.

It has 530 lines of code, 20 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 tagger_rewriter and discovered the below as its top functions. This is intended to give you an instant insight into tagger_rewriter implemented functionality, and help decide if they suit your requirements.

Generate label
Tokenize a Chinese string
Train the model
Predict the given model
Given a sequence of tokens and a model return a list of tokens
Validate the prediction
Finds the best answer to the given position
Calculate ROUGE score
Compute rouge score
Get learning rate from optimizer
Find the best answer for a passage
Save a model
Write event to log
Load a model from file
Wrapper for taggerRewriterRewriter
Validate the model

Get all kandi verified functions for this library.

tagger_rewriter Key Features

No Key Features are available at this moment for tagger_rewriter.

tagger_rewriter Examples and Code Snippets

No Code Snippets are available at this moment for tagger_rewriter.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install tagger_rewriter

You can download it from GitHub.
You can use tagger_rewriter 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 .

Find more information at: