Metadata-Version: 2.1
Name: lenskit
Version: 0.11.0
Summary: Run recommender algorithms and experiments
Home-page: https://lkpy.lenskit.org
Author: Michael Ekstrand
Author-email: michaelekstrand@boisestate.edu
License: MIT License
Description: # Python recommendation tools
        
        ![Test Suite](https://github.com/lenskit/lkpy/workflows/Test%20Suite/badge.svg)
        [![codecov](https://codecov.io/gh/lenskit/lkpy/branch/master/graph/badge.svg)](https://codecov.io/gh/lenskit/lkpy)
        [![Maintainability](https://api.codeclimate.com/v1/badges/c02098c161112e19c148/maintainability)](https://codeclimate.com/github/lenskit/lkpy/maintainability)
        
        LensKit is a set of Python tools for experimenting with and studying recommender
        systems.  It provides support for training, running, and evaluating recommender
        algorithms in a flexible fashion suitable for research and education.
        
        LensKit for Python (LKPY) is the successor to the Java-based LensKit project.
        
        If you use LensKit for Python in published research, please cite:
        
        > Michael D. Ekstrand. 2020.
        > LensKit for Python: Next-Generation Software for Recommender Systems Experiments.
        > In <cite>Proceedings of the 29th ACM International Conference on Information and Knowledge Management</cite> (CIKM '20).
        > DOI:[10.1145/3340531.3412778](https://dx.doi.org/10.1145/3340531.3412778>).
        > arXiv:[1809.03125](https://arxiv.org/abs/1809.03125) [cs.IR].
        
        ## Installing
        
        To install the current release with Anaconda (recommended):
        
            conda install -c lenskit lenskit
        
        Or you can use `pip`:
        
            pip install lenskit
        
        To use the latest development version, install directly from GitHub:
        
            pip install -U git+https://github.com/lenskit/lkpy
        
        Then see [Getting Started](https://lkpy.lenskit.org/en/latest/GettingStarted.html)
        
        ## Developing
        
        [issues]: https://github.com/lenskit/lkpy/issues
        [workflow]: https://github.com/lenskit/lkpy/wiki/DevWorkflow
        
        To contribute to LensKit, clone or fork the repository, get to work, and submit
        a pull request.  We welcome contributions from anyone; if you are looking for a
        place to get started, see the [issue tracker][].
        
        Our development workflow is documented in [the wiki][workflow]; the wiki also
        contains other information on *developing* LensKit. User-facing documentation is
        at <https://lkpy.lenskit.org>.
        
        
        We recommend using an Anaconda environment for developing LensKit.  To set this
        up, run:
        
            python setup.py dep_info --conda-environment dev-env.yml
            conda env create -f dev-env.yml
        
        This will create a Conda environment called `lkpy-dev` with the packages
        required to develop and test LensKit.
        
        We don't maintain the Conda environment specification directly - instead, we
        maintain information in `setup.cfg` to be able to generate it, so that we define
        dependencies and versions in one place (well, two, if you count the `meta.yaml`
        file used to build the Conda recipes).  The `dep_info` setuptools command will
        generate a Conda environment specification from the current dependencies in
        `setup.cfg`.
        
        ## Resources
        
        - [Documentation](https://lkpy.lenskit.org)
        - [Mailing list, etc.](https://lenskit.org/connect)
        
        ## Acknowledgements
        
        This material is based upon work supported by the National Science Foundation
        under Grant No. IIS 17-51278. Any opinions, findings, and conclusions or
        recommendations expressed in this material are those of the author(s) and do not
        necessarily reflect the views of the National Science Foundation.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: docs
Provides-Extra: hpf
Provides-Extra: implicit
Provides-Extra: sklearn
Provides-Extra: tf
Provides-Extra: dev
Provides-Extra: demo
