predicting-movie-rating | Use Apache Spark 's Machine Learning Pipelines library

by dgplex Jupyter Notebook Version: Current License: No License

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

kandi X-RAY | predicting-movie-rating Summary

predicting-movie-rating is a Jupyter Notebook library. predicting-movie-rating has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Use Apache Spark's Machine Learning Pipelines library to perform collaborative filtering on a movie dataset

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Support

predicting-movie-rating has a low active ecosystem.

It has 0 star(s) with 1 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

predicting-movie-rating has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of predicting-movie-rating is current.

Quality

predicting-movie-rating has no bugs reported.

Security

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

License

predicting-movie-rating 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

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

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predicting-movie-rating Key Features

No Key Features are available at this moment for predicting-movie-rating.

predicting-movie-rating Examples and Code Snippets

No Code Snippets are available at this moment for predicting-movie-rating.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install predicting-movie-rating

You can download it from GitHub.

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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