wsdm-cup-2018-music | Publication of the code we used in the WSDM'18 Cup
kandi X-RAY | wsdm-cup-2018-music Summary
kandi X-RAY | wsdm-cup-2018-music Summary
wsdm-cup-2018-music is a Python library. wsdm-cup-2018-music has no bugs, it has no vulnerabilities and it has low support. However wsdm-cup-2018-music build file is not available. You can download it from GitHub.
Publication of the code we used in the WSDM'18 Cup
Publication of the code we used in the WSDM'18 Cup
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Quality
Security
License
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Support
wsdm-cup-2018-music has a low active ecosystem.
It has 4 star(s) with 2 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
wsdm-cup-2018-music has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of wsdm-cup-2018-music is current.
Quality
wsdm-cup-2018-music has no bugs reported.
Security
wsdm-cup-2018-music has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
wsdm-cup-2018-music 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
wsdm-cup-2018-music releases are not available. You will need to build from source code and install.
wsdm-cup-2018-music 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 wsdm-cup-2018-music and discovered the below as its top functions. This is intended to give you an instant insight into wsdm-cup-2018-music implemented functionality, and help decide if they suit your requirements.
- Creates a featureset
- Load COMBI
- Add a cluster to a folder
- Add ALF features
- Create latent factors
- Convert pandas DataFrame to a pandas DataFrame
- Train the model
- Performs uniform sampling
- Recursively create overlaps between songs
- Get max features from col in dest
- Create a spm song
- Compute the AUC mean
- Get prediction for user_index
- Convert data into a dictionary
- Creates overlaps
- Create a sparse sparse matrix
- Return the top n predictions for a user_index
- Create latent factors for a artist
- Create overlaps between artist and artist features
- Combine two overlaps
- Return the prediction for a given item
Get all kandi verified functions for this library.
wsdm-cup-2018-music Key Features
No Key Features are available at this moment for wsdm-cup-2018-music.
wsdm-cup-2018-music Examples and Code Snippets
No Code Snippets are available at this moment for wsdm-cup-2018-music.
Community Discussions
No Community Discussions are available at this moment for wsdm-cup-2018-music.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install wsdm-cup-2018-music
You can download it from GitHub.
You can use wsdm-cup-2018-music 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 wsdm-cup-2018-music 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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