rsc18 | Publication of the code we used in the RecSys Challenge

by rn5l Python Version: Current License: Apache-2.0

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

kandi X-RAY | rsc18 Summary

rsc18 is a Python library. rsc18 has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Publication of the code we used in the RecSys Challenge 2018.

Support

Quality

Security

License

Reuse

Support

rsc18 has a low active ecosystem.

It has 7 star(s) with 2 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

rsc18 has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of rsc18 is current.

Quality

rsc18 has no bugs reported.

Security

rsc18 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

rsc18 is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

rsc18 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.

Top functions reviewed by kandi - BETA

kandi has reviewed rsc18 and discovered the below as its top functions. This is intended to give you an instant insight into rsc18 implemented functionality, and help decide if they suit your requirements.

Train the model
Filter the data based on the user clicked on
Splits training data into training data
Calculate the NDC discount template for a batch
Evaluate results
Determine the DCG of the DCG
Calculate the DCG
Calculate r_precision
Evaluate the dataset
Evaluate the result
Train model
Filter data based on user clicks
Load dataset
Predict next tracks
Save a submission
Compute the DC - DC divergence coefficient
Get embeddings
Build the graph
Run the prediction
Generate a batch function for training
Create a similar sample from playlists
Create a random sample
Predict a track of tracks
Get the model
Return a pandas dataframe
Predict tracks by name
Train a model
Creates latent factors

Get all kandi verified functions for this library.

rsc18 Key Features

No Key Features are available at this moment for rsc18.

rsc18 Examples and Code Snippets

No Code Snippets are available at this moment for rsc18.

Community Discussions

No Community Discussions are available at this moment for rsc18.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install rsc18

You can download it from GitHub.
You can use rsc18 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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