movie-recommendation-system | Movie Recommendation System using the MovieLens | Recommender System library

by alexvlis Python Version: Current License: No License

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

kandi X-RAY | movie-recommendation-system Summary

movie-recommendation-system is a Python library typically used in Artificial Intelligence, Recommender System applications. movie-recommendation-system has no bugs, it has no vulnerabilities and it has low support. However movie-recommendation-system build file is not available. You can download it from GitHub.

Movie Recommendation System using the MovieLens dataset

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Support

movie-recommendation-system has a low active ecosystem.

It has 11 star(s) with 13 fork(s). There are 3 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 782 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of movie-recommendation-system is current.

Quality

movie-recommendation-system has 0 bugs and 0 code smells.

Security

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

movie-recommendation-system code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

movie-recommendation-system 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

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

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

It has 526 lines of code, 27 functions and 6 files.

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

Top functions reviewed by kandi - BETA

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

Train the model based on the method
Compute significance
Calculate Pearson correlation coefficient
Compute the neighborhood of a given matrix
Calculate the prediction for the given time series
Test the model accuracy
Loads the model
Construct the model
Predict the value of the model
Compute k - cross - cross product
Compute k - cross product of k - cross product
Load a data matrix
Fit the Gaussian distribution
Returns a list of recommended movies for u
Compute the MSE between mat1 and mat2
Calculate the rank of each user
Train the model
Constructs the Confidence matrix

Get all kandi verified functions for this library.

movie-recommendation-system Key Features

No Key Features are available at this moment for movie-recommendation-system.

movie-recommendation-system Examples and Code Snippets

No Code Snippets are available at this moment for movie-recommendation-system.

Community Discussions

Trending Discussions on movie-recommendation-system

Wrapping dplyr filter in function results in "Error: Result must have length 4803, not 3"

QUESTION

Wrapping dplyr filter in function results in "Error: Result must have length 4803, not 3"

Asked 2019-Nov-11 at 15:17

I'm learning R for data analysis and using this Kaggle dataset. Following the movie recommendation script works, but when I try to generalize a dplyr code by making it a function I get an error:

I've tried troubleshooting some. It looks like the code stops at the filter and mutate functions.

The following works and gives the expected output.

...

ANSWER

Answered 2019-Nov-11 at 15:16

The problem is that you cannot use character strings to identify variables inside filter and mutate. The easiest way to solve your problem is to use filter_at and mutate_at:

Source https://stackoverflow.com/questions/58803740

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

Vulnerabilities

No vulnerabilities reported

Install movie-recommendation-system

You can download it from GitHub.
You can use movie-recommendation-system 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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