recommend_system_code | GitChat代码仓库 -- -个性化推荐：实战

by FreeFlyXiaoMa Python Version: Current License: No License

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

kandi X-RAY | recommend_system_code Summary

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

recommend_system_code

Support

Quality

Security

License

Reuse

Support

recommend_system_code has a low active ecosystem.

It has 4 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of recommend_system_code is current.

Quality

recommend_system_code has no bugs reported.

Security

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

License

recommend_system_code 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

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

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

Run LFM training
Reorder the user_vec
Predict the covariance between the two vectors
Get training data from a file
Lfm training function
Calculates the average score for each item
Data_helper function
Convert read times to target
Build the estimator
Build the model columns
Return the occupation name
Return work class name
Return a normalized target value
Build model columns
Query examples
Downloads and cleans the file
Construct an input function from a CSV file
Prepare examples for prediction
Creates a tf train Feature

Get all kandi verified functions for this library.

recommend_system_code Key Features

No Key Features are available at this moment for recommend_system_code.

recommend_system_code Examples and Code Snippets

No Code Snippets are available at this moment for recommend_system_code.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install recommend_system_code

You can download it from GitHub.
You can use recommend_system_code 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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