DKT-TensorFlow | 自适应学习模型-应用于教育领域-知识图谱

by xiaofengShi Python Version: Current License: No License

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

kandi X-RAY | DKT-TensorFlow Summary

DKT-TensorFlow is a Python library. DKT-TensorFlow has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

自适应学习模型-应用于教育领域-知识图谱

Support

Quality

Security

License

Reuse

Support

DKT-TensorFlow has a low active ecosystem.

It has 41 star(s) with 20 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 427 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of DKT-TensorFlow is current.

Quality

DKT-TensorFlow has 0 bugs and 0 code smells.

Security

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

DKT-TensorFlow code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

DKT-TensorFlow 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

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

Build file is available. You can build the component from source.

DKT-TensorFlow saves you 81 person hours of effort in developing the same functionality from scratch.

It has 209 lines of code, 13 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 DKT-TensorFlow and discovered the below as its top functions. This is intended to give you an instant insight into DKT-TensorFlow implemented functionality, and help decide if they suit your requirements.

Get next batch
Pad sequences of sequences
Format data
Convert a num to one - hot index

Get all kandi verified functions for this library.

DKT-TensorFlow Key Features

No Key Features are available at this moment for DKT-TensorFlow.

DKT-TensorFlow Examples and Code Snippets

No Code Snippets are available at this moment for DKT-TensorFlow.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install DKT-TensorFlow

You can download it from GitHub.
You can use DKT-TensorFlow 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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