Quora-Insincere-Questions-Classification

by pengming617 Python Version: Current License: No License

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

kandi X-RAY | Quora-Insincere-Questions-Classification Summary

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

Quora-Insincere-Questions-Classification

Support

Quality

Security

License

Reuse

Support

Quora-Insincere-Questions-Classification has a low active ecosystem.

It has 5 star(s) with 1 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

Quora-Insincere-Questions-Classification has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Quora-Insincere-Questions-Classification is current.

Quality

Quora-Insincere-Questions-Classification has 0 bugs and 0 code smells.

Security

Quora-Insincere-Questions-Classification has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Quora-Insincere-Questions-Classification code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Quora-Insincere-Questions-Classification 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

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

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

It has 2074 lines of code, 70 functions and 24 files.

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

Top functions reviewed by kandi - BETA

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

Train the model
Preprocess the given docstring
Load practices file
Generate train and batch of data
Calculate the sentence length
Compute the embedding for each article
Batch generator
Convert text to array
Lemmatize a string
Perform multihead attention
Normalize input tensor
Run test on the textcnn model
Infer predictions from sentences
Feed forward layer
Transfer a yituxlsx file
Returns articles and tags
Batch test

Get all kandi verified functions for this library.

Quora-Insincere-Questions-Classification Key Features

No Key Features are available at this moment for Quora-Insincere-Questions-Classification.

Quora-Insincere-Questions-Classification Examples and Code Snippets

No Code Snippets are available at this moment for Quora-Insincere-Questions-Classification.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install Quora-Insincere-Questions-Classification

You can download it from GitHub.
You can use Quora-Insincere-Questions-Classification 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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