winerama-recommender-tutorial | A wine recommender system tutorial using Python | Machine Learning library

by jadianes Python Version: Current License: Non-SPDX

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

kandi X-RAY | winerama-recommender-tutorial Summary

winerama-recommender-tutorial is a Python library typically used in Artificial Intelligence, Machine Learning applications. winerama-recommender-tutorial has no bugs, it has no vulnerabilities and it has low support. However winerama-recommender-tutorial build file is not available and it has a Non-SPDX License. You can download it from GitHub.

A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.

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Support

winerama-recommender-tutorial has a low active ecosystem.

It has 326 star(s) with 302 fork(s). There are 39 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 5 have been closed. On average issues are closed in 0 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of winerama-recommender-tutorial is current.

Quality

winerama-recommender-tutorial has 0 bugs and 0 code smells.

Security

winerama-recommender-tutorial has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

winerama-recommender-tutorial code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

winerama-recommender-tutorial has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

winerama-recommender-tutorial releases are not available. You will need to build from source code and install.

winerama-recommender-tutorial 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.

winerama-recommender-tutorial saves you 219 person hours of effort in developing the same functionality from scratch.

It has 536 lines of code, 14 functions and 30 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Returns a list of users reviews for the given user
Calculates ratings for each user review
Add a review

Get all kandi verified functions for this library.

winerama-recommender-tutorial Key Features

No Key Features are available at this moment for winerama-recommender-tutorial.

winerama-recommender-tutorial Examples and Code Snippets

No Code Snippets are available at this moment for winerama-recommender-tutorial.

Community Discussions

Trending Discussions on winerama-recommender-tutorial

'<' not supported between instances of 'method' and 'method' - Python, Django

QUESTION

'<' not supported between instances of 'method' and 'method' - Python, Django

Asked 2018-Aug-20 at 12:24

I'm trying to do Winerama Recommender Tutorial . I met a error which I can't solve. When I try to go to the tab 'recommendation list' the browser returned the following error.

Error

...

ANSWER

Answered 2018-Aug-20 at 11:38

The sorted() function accepts function key that returns value. Seems like x.average_rating is method, not the value. So you have 2 choices

add () after x.average_rating
convert x.average_rating to property

Source https://stackoverflow.com/questions/51929887

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

Vulnerabilities

No vulnerabilities reported

Install winerama-recommender-tutorial

You can download it from GitHub.
You can use winerama-recommender-tutorial 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.