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}
}
Release files for hibachi 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| hibachi-0.0.1.tar.gz | 4.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| hibachi-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 18.0 kB
Release files / hibachi-0.0.1.tar.gz
| Download URL | hibachi-0.0.1.tar.gz |
|---|---|
| Size | 4.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
Release files / hibachi-0.0.1-py3-none-any.whl
| Download URL | hibachi-0.0.1-py3-none-any.whl |
|---|---|
| Size | 13.2 kB |
| Tags | Python 3 |
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twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.6.5
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