NCE_Projected_LRec | Scalable Recommendation Algorithms

by wuga214 Python Version: Current License: MIT

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

kandi X-RAY | NCE_Projected_LRec Summary

NCE_Projected_LRec is a Python library. NCE_Projected_LRec has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However NCE_Projected_LRec build file is not available. You can download it from GitHub.

Scalable Recommendation Algorithms

Support

Quality

Security

License

Reuse

Support

NCE_Projected_LRec has a low active ecosystem.

It has 28 star(s) with 4 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 6 have been closed. On average issues are closed in 11 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of NCE_Projected_LRec is current.

Quality

NCE_Projected_LRec has no bugs reported.

Security

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

License

NCE_Projected_LRec is licensed under the MIT License. This license is Permissive.

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

Reuse

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

NCE_Projected_LRec has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

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

Resolve the autoencoders clustering
Evaluate the accuracy of a matrix
Predict using the cupy algorithm
Perform a subroutine
Builds the graph
Calculate the multinomial log likelihood
Calculate the KL divergence
Computes Bernstein Bernstein log - likelihood
Calculate the uncertainty of the model
Plot the precision recall curve
Load movie ratings
Plot the latent distribution ellipse
Generates a sampling predictor for a set of samples
Visualize the training images
Perform CDE decomposition
Perform autorec
Compute the VAE model
Random SVD
Compute the metrics for each user
Splits a rating matrix
Run ncell recursively
Perform hyperparameter tuning
Execute the model
Perform personalization
Split the ratings according to the rating
Algorithm for Alternative Item Weighted Method

Get all kandi verified functions for this library.

NCE_Projected_LRec Key Features

No Key Features are available at this moment for NCE_Projected_LRec.

NCE_Projected_LRec Examples and Code Snippets

No Code Snippets are available at this moment for NCE_Projected_LRec.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install NCE_Projected_LRec

You can download it from GitHub.
You can use NCE_Projected_LRec 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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