- | & quot ; Daguan Cup & quot ; Text Intelligent Processing Challenge

by CortexFoundation Python Version: Current License: No License

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

kandi X-RAY | - Summary

- is a Python library. - has no vulnerabilities and it has low support. However - has 2 bugs and it build file is not available. You can download it from GitHub.

"Daguan Cup" Text Intelligent Processing Challenge

Support

Quality

Security

License

Reuse

Support

- has a low active ecosystem.

It has 49 star(s) with 23 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 644 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of - is current.

Quality

- has 2 bugs (0 blocker, 0 critical, 2 major, 0 minor) and 94 code smells.

Security

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

- code analysis shows 0 unresolved vulnerabilities.

There are 3 security hotspots that need review.

License

- 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

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

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

- saves you 4616 person hours of effort in developing the same functionality from scratch.

It has 9752 lines of code, 263 functions and 81 files.

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

Top functions reviewed by kandi - BETA

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

Get a trained model
Calculate the weighted sum
Computes the dot product of x
Get lda feature from a dataset
Builds the model
Compute the pooling op
Compute the logistic regression
Return the probability of x
Predict the model

Get all kandi verified functions for this library.

- Key Features

No Key Features are available at this moment for -.

- Examples and Code Snippets

No Code Snippets are available at this moment for -.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install -

You can download it from GitHub.
You can use - 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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