Metadata-Version: 2.1
Name: hibachi
Version: 0.0.1
Summary: Feature selection methods for PyTorch
Home-page: https://github.com/bveeramani/hibachi
Author: Balaji Veeramani
Author-email: bveeramani@berkeley.edu
License: UNKNOWN
Description: # Hibachi
        **Hibachi** is a Python package that implements feature selection methods for
        PyTorch.
        
        ## Installation
        Run the following command:
        
        ```
        pip install hibachi
        ```
        
        ## References
        ```
        @incollection {
            NIPS2017_7270,
            title = {Kernel Feature Selection via Conditional Covariance Minimization},
            author = {Chen, Jianbo and Stern, Mitchell and Wainwright, Martin J and
                Jordan, Michael I},
            booktitle = {Advances in Neural Information Processing Systems 30},
            editor = {I. Guyon and U. V. Luxburg and S. Bengio and H. Wallach and R.
                Fergus and S. Vishwanathan and R. Garnett},
            pages = {6949--6958},
            year = {2017},
            publisher = {Curran Associates, Inc.},
            url = {http://papers.nips.cc/paper/7270-kernel-feature-selection-via-conditional-covariance-minimization.pdf}
        }
        ```
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
