tianchi-news-recommendation | 零基础入门推荐系统 - 新闻推荐 Top2
kandi X-RAY | tianchi-news-recommendation Summary
kandi X-RAY | tianchi-news-recommendation Summary
tianchi-news-recommendation is a Python library. tianchi-news-recommendation has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
零基础入门推荐系统 - 新闻推荐 Top2.
零基础入门推荐系统 - 新闻推荐 Top2.
Support
Quality
Security
License
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Support
tianchi-news-recommendation has a low active ecosystem.
It has 23 star(s) with 2 fork(s). There are 1 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 1 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of tianchi-news-recommendation is current.
Quality
tianchi-news-recommendation has no bugs reported.
Security
tianchi-news-recommendation has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
tianchi-news-recommendation 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
tianchi-news-recommendation releases are not available. You will need to build from source code and install.
Build file is available. You can 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 tianchi-news-recommendation and discovered the below as its top functions. This is intended to give you an instant insight into tianchi-news-recommendation implemented functionality, and help decide if they suit your requirements.
- Train the LGBM classifier
- Evaluate the hazard rate for each item
- Generate subs of the prediction
- Generate a sub - task
- Computes the weighted sum of the words weighted by the user
- Returns the consine distance between two vectors
- R Evaluate the hazard rate
- Get data from training and validation
- Reconstruct the similarity score for each item in the query
- Generate a word2vec
- Calculate similarity stats for a given dataframe
- Calculates the recall similarity between two items
- Run online prediction
- Computes the mms of each user
- Function that calculates the similarity of the last article
Get all kandi verified functions for this library.
tianchi-news-recommendation Key Features
No Key Features are available at this moment for tianchi-news-recommendation.
tianchi-news-recommendation Examples and Code Snippets
No Code Snippets are available at this moment for tianchi-news-recommendation.
Community Discussions
No Community Discussions are available at this moment for tianchi-news-recommendation.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install tianchi-news-recommendation
You can download it from GitHub.
You can use tianchi-news-recommendation 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.
You can use tianchi-news-recommendation 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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