Movie_Recommender | Movie Recommender System for Machine Learning | Recommender System library

by llSourcell C++ Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | Movie_Recommender Summary

Movie_Recommender is a C++ library typically used in Artificial Intelligence, Recommender System, Tensorflow applications. Movie_Recommender has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This project trains 3 layer feedforward neural network over a dataset of MovieLens-based user ratings to generate movie recommendations. This the code for 'Build a Movie Recommender' on Youtube.

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Support

Movie_Recommender has a low active ecosystem.

It has 48 star(s) with 23 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

Movie_Recommender has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Movie_Recommender is current.

Quality

Movie_Recommender has 0 bugs and 0 code smells.

Security

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

Movie_Recommender code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Movie_Recommender is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

Installation instructions are not available. Examples and code snippets are available.

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Movie_Recommender Key Features

No Key Features are available at this moment for Movie_Recommender.

Movie_Recommender Examples and Code Snippets

No Code Snippets are available at this moment for Movie_Recommender.

Community Discussions

Trending Discussions on Movie_Recommender

Runtime error when configuring Spark in Python notebook

QUESTION

Runtime error when configuring Spark in Python notebook

Asked 2021-Nov-17 at 08:19

I am trying to follow this Python notebook. I installed Spark directly in the notebook (!pip install pyspark), but when I do:

...

ANSWER

Answered 2021-Nov-17 at 08:19

The main clue to the error is in the last line

"RuntimeError: Java gateway process exited before sending its port number"

You can check an old stack overflow link below for solution

Pyspark: Exception: Java gateway process exited before sending the driver its port number

Source https://stackoverflow.com/questions/70000419

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

Vulnerabilities

No vulnerabilities reported

Install Movie_Recommender

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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