SDMR | SDMR recommendation model | Recommender System library

by thanhdtran Python Version: Current License: MIT

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

kandi X-RAY | SDMR Summary

SDMR is a Python library typically used in Artificial Intelligence, Recommender System, Deep Learning, Tensorflow applications. SDMR has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However SDMR build file is not available. You can download it from GitHub.

This repo contains source code for our paper: "Signed Distance-based Deep Memory Recommender" published in WWW 2019 (TheWebConf 2019).

Support

Quality

Security

License

Reuse

Support

SDMR has a low active ecosystem.

It has 7 star(s) with 7 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of SDMR is current.

Quality

SDMR has no bugs reported.

Security

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

License

SDMR 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

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

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

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

Top functions reviewed by kandi - BETA

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

Forward computation
Return the CPU of a tensor
Convert tensor to GPU
Make an output query
Make a dropout query
Convert a tensor to a numpy array
Check if x is a CUDA GPU
Converts numpy array to torch
Make a mask of x
Set reaction interactions
Build the negative counts for each user
Resets weights
Reset the identity matrix
Forward computation
Flattens x
Predict the user ids
Reset weights and item embeddings
Create a sequence of n elements

Get all kandi verified functions for this library.

SDMR Key Features

No Key Features are available at this moment for SDMR.

SDMR Examples and Code Snippets

No Code Snippets are available at this moment for SDMR.

Community Discussions

Trending Discussions on SDMR

Problem with promise.all in method soap, only return the first query api

QUESTION

Problem with promise.all in method soap, only return the first query api

Asked 2019-Mar-25 at 17:09

I'm consuming api soap, but when run the function only get the first result from a for, Why do not all queries complete or complete correctly?

I’ve tried with a function promise, and call that function in a function async/await, but it does not work

...

ANSWER

Answered 2019-Mar-25 at 17:05

      getDataPromise(params){
        new Promise(function(resolve, reject){

Source https://stackoverflow.com/questions/55342300

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

Vulnerabilities

No vulnerabilities reported

Install SDMR

You can download it from GitHub.
You can use SDMR 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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