xanthus | Neural recommendation models in Python | Machine Learning library
kandi X-RAY | xanthus Summary
kandi X-RAY | xanthus Summary
xanthus is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. xanthus has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install xanthus' or download it from GitHub, PyPI.
Xanthus is a package that was started as personal project to translate an academic ML paper into a 'production ready' software package. It provides the tools and model architectures necessary to utilise the techniques outlined in He et al's work on Neural Collaborative Filtering in your own projects. Over time, you'll find work from other research finding it's way in here. The aim of this package is to make state-of-the-art research into neural recommenders accessible and ultimately ready for deployment. You might find that it's not quite there yet on that latter point, but sit tight, it will be. Sound good? Great, here goes.
Xanthus is a package that was started as personal project to translate an academic ML paper into a 'production ready' software package. It provides the tools and model architectures necessary to utilise the techniques outlined in He et al's work on Neural Collaborative Filtering in your own projects. Over time, you'll find work from other research finding it's way in here. The aim of this package is to make state-of-the-art research into neural recommenders accessible and ultimately ready for deployment. You might find that it's not quite there yet on that latter point, but sit tight, it will be. Sound good? Great, here goes.
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Quality
Security
License
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Support
xanthus has a low active ecosystem.
It has 4 star(s) with 0 fork(s). There are 2 watchers for this library.
It had no major release in the last 12 months.
There are 1 open issues and 0 have been closed. There are 2 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of xanthus is 0.1.0rc2
Quality
xanthus has 0 bugs and 0 code smells.
Security
xanthus has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
xanthus code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
xanthus is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
xanthus releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
It has 2098 lines of code, 145 functions and 33 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed xanthus and discovered the below as its top functions. This is intended to give you an instant insight into xanthus implemented functionality, and help decide if they suit your requirements.
- Train the model
- Iterate over ids
- Compute the score of a function
- Compute rankings for a and b
- Build a train and test set
- Iterate through the model
- Convert to ndarray
- Compute a sample of negative samples
- Sample a single negative sample
- Iterate over the negative samples of an array
- Unpack negative samples
- Construct a train and test set
- Returns a wrapped DatasetEncoder
- Fit the model
- Create a Dataset from interaction data
- Load the dataset
- Load 10k files
- Apply a function to each key
- Calculate recommendations
- Return the rank of a sequence w
- Compute the model
- Calculate the n - dimensional layers
- Creates rankings for a and b
- Iterate ids
- Compute metrics for each item in the model
- Compute metrics for the model
- Update the model
- Calculate the score of a function
- Convert to numpy arrays
Get all kandi verified functions for this library.
xanthus Key Features
No Key Features are available at this moment for xanthus.
xanthus Examples and Code Snippets
No Code Snippets are available at this moment for xanthus.
Community Discussions
Trending Discussions on xanthus
QUESTION
Pyperclip - IDLE 3 on Ubuntu
Asked 2018-Jan-10 at 07:09
I am new to python and having trouble installing pyerclip on ubuntu. The terminal shows following error.
ANSWER
Answered 2018-Jan-10 at 05:26You need superuser access. Do a sudo pip3 install pyperclip.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install xanthus
Want to get straight into the code? Here's an introductory notebook just for you.
A minimal example using the Movielens (100k) dataset.
An example using the meta-data features of Xanthus on the Movielens (100k) dataset.
Xanthus is a pure Python package, and you'll need Python 3.6 or greater to use Xanthus.
A minimal example using the Movielens (100k) dataset.
An example using the meta-data features of Xanthus on the Movielens (100k) dataset.
Xanthus is a pure Python package, and you'll need Python 3.6 or greater to use Xanthus.
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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