Unsupervised feature learning based on sparse-filtering
This implements the method described Jiquan Ngiam, Pang Wei Koh, Zhenghao Chen, Sonia Bhaskar, Andrew Y. Ng: Sparse Filtering. NIPS 2011: 1125-1133 and is based on the Matlab code provided in the supplementary material
1 maintainer
Metadata
1 maintainer
Release files for sparse_filtering 1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sparse_filtering-1.1.tar.gz | 2.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sparse_filtering-1.1.linux-x86_64.exe | Details |
Total release size: 67.3 kB
Release files / sparse_filtering-1.1.tar.gz
| Download URL | sparse_filtering-1.1.tar.gz |
|---|---|
| Size | 2.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
782dd1426e9a96bea66682d50e6b86d2fd8ab8c0c5a03ab389d207f6cbce008f
|
|
BLAKE2b-256 checksum How to use checksums |
a85522727d28b2449ff232fc997bdcf0ade821eeb685fc6e2e4124c8564f1b3d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / sparse_filtering-1.1.linux-x86_64.exe
| Download URL | sparse_filtering-1.1.linux-x86_64.exe |
|---|---|
| Size | 64.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
efd5f6aa09f1d18407689fb52000ec11c2c44bc7faa19fc76c448dabab286fab
|
|
BLAKE2b-256 checksum How to use checksums |
f362b12bfa4d7f02519f34b6eb311bee67638686c9b74cc4315f1a5cae7c3768
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
