Reference implementation of LassoNet
Project description
LassoNet
This project is about performing feature selection in neural networks. At the moment, we support fully connected feed-forward neural networks. LassoNet is based on the work presented in this paper (bibtex here for citation). Here is a link to the promo video:
Code
We have designed the code to follow scikit-learn's standards to the extent possible (e.g. linear_model.Lasso).
To install it,
pip install lassonet
Our plan is to add more functionality that help users understand the important features in neural networks.
Website
LassoNet's website is https://lassonet.ml. It contains many useful references including the paper, live talks and additional documentation.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file lassonet-0.0.9.tar.gz.
File metadata
- Download URL: lassonet-0.0.9.tar.gz
- Upload date:
- Size: 10.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.8.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 28bd9365b396a37ce4b9e62a626c848119002ebec9203fd7c7a3e77d498431a1 |
|
| MD5 | 7ff4da4b43e7ca6189c44bcc7b06e4e4 |
|
| BLAKE2b-256 | 84affd14ff4149e8ceb4deec438e1bd741fb54f41b8dce429880ee29bd2b3ad2 |
File details
Details for the file lassonet-0.0.9-py3-none-any.whl.
File metadata
- Download URL: lassonet-0.0.9-py3-none-any.whl
- Upload date:
- Size: 10.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.8.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 12e1e5ffc6ae94e315c54196107495cbf7d5546b08c7aac1037f09991cd831e5 |
|
| MD5 | c865c4ca9d72a2ef4e766d46797404c5 |
|
| BLAKE2b-256 | f194cf612a9634f51c0c4c2223d70a8f3e62c4ed0340cb90a0d1c1cd9a375933 |
