CAIL2019 | similar case matching

by hecongqing Python Version: Current License: No License

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

kandi X-RAY | CAIL2019 Summary

CAIL2019 is a Python library. CAIL2019 has no bugs, it has no vulnerabilities and it has low support. However CAIL2019 build file is not available. You can download it from GitHub.

similar case matching

Support

Quality

Security

License

Reuse

Support

CAIL2019 has a low active ecosystem.

It has 39 star(s) with 14 fork(s). There are 3 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 294 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of CAIL2019 is current.

Quality

CAIL2019 has 0 bugs and 0 code smells.

Security

CAIL2019 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

CAIL2019 code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

CAIL2019 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

CAIL2019 releases are not available. You will need to build from source code and install.

CAIL2019 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.

CAIL2019 saves you 564 person hours of effort in developing the same functionality from scratch.

It has 1318 lines of code, 78 functions and 4 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed CAIL2019 and discovered the below as its top functions. This is intended to give you an instant insight into CAIL2019 implemented functionality, and help decide if they suit your requirements.

Transformer model for Transformer
Attention layer
Get the shape of a tensor
Apply dropout
Convert examples to features
Truncate seq pair
Return a string representation of the input
Convert a single example
A builder for TPUEstimator
Get assignment map from given checkpoint
Create a model
Get the sequence output
Tokenize text
Convert input to unicode
Split text into tokens
Read from a json file
Construct a BertConfig instance from a dict
Embed embedding
Layer norm and dropout
Creates attention mask from input tensors
Builds a file - like input function
Validates that the case matches the given checkpoint
Return examples from the data_path
Load vocabulary from file
Embed word embedding

Get all kandi verified functions for this library.

CAIL2019 Key Features

No Key Features are available at this moment for CAIL2019.

CAIL2019 Examples and Code Snippets

No Code Snippets are available at this moment for CAIL2019.

Community Discussions

No Community Discussions are available at this moment for CAIL2019.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install CAIL2019

You can download it from GitHub.
You can use CAIL2019 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: