Ali2015-MobileRecommendation | Ali Mobile Recommendation Algorithm Competition - http

by wdwind Python Version: Current License: No License

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

kandi X-RAY | Ali2015-MobileRecommendation Summary

Ali2015-MobileRecommendation is a Python library. Ali2015-MobileRecommendation has no bugs, it has no vulnerabilities and it has low support. However Ali2015-MobileRecommendation build file is not available. You can download it from GitHub.

Ali Mobile Recommendation Algorithm Competition -

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Quality

Security

License

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Support

Ali2015-MobileRecommendation has a low active ecosystem.

It has 5 star(s) with 5 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

Ali2015-MobileRecommendation has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Ali2015-MobileRecommendation is current.

Quality

Ali2015-MobileRecommendation has no bugs reported.

Security

Ali2015-MobileRecommendation has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Ali2015-MobileRecommendation 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

Ali2015-MobileRecommendation releases are not available. You will need to build from source code and install.

Ali2015-MobileRecommendation 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 Ali2015-MobileRecommendation and discovered the below as its top functions. This is intended to give you an instant insight into Ali2015-MobileRecommendation implemented functionality, and help decide if they suit your requirements.

Generate the item dict for each item
Extract features and concatenate features
Extract a subset of items from a time series
Extract category independent features
Return a new divider
Evaluate the F1 recall
Calculate the F1 - recall
Number of elements in the list
Return the precision of the curve
Calculate recall

Get all kandi verified functions for this library.

Ali2015-MobileRecommendation Key Features

No Key Features are available at this moment for Ali2015-MobileRecommendation.

Ali2015-MobileRecommendation Examples and Code Snippets

No Code Snippets are available at this moment for Ali2015-MobileRecommendation.

Community Discussions

No Community Discussions are available at this moment for Ali2015-MobileRecommendation.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install Ali2015-MobileRecommendation

You can download it from GitHub.
You can use Ali2015-MobileRecommendation 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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