SPORCO is a Python package for solving optimisation problems with sparsity-inducing regularisation. These consist primarily of sparse coding and dictionary learning problems, including convolutional sparse coding and dictionary learning, but there is also support for other problems such as Total Variation regularisation and Robust PCA. The optimisation algorithms in the current version are based on the Alternating Direction Method of Multipliers (ADMM) or on the Fast Iterative Shrinkage-Thresholding Algorithm (PGM).
Metadata
Release files for sporco 0.2.2.post1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sporco-0.2.2.post1.tar.gz | 4.4 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sporco-0.2.2.post1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.9 MB
Release files / sporco-0.2.2.post1.tar.gz
| Download URL | sporco-0.2.2.post1.tar.gz |
|---|---|
| Size | 4.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
75873d65ed522304d17095d1155a3344301a592ecb0279da72b8fcd27b184886
|
|
BLAKE2b-256 checksum How to use checksums |
79ad65f4442d9da24e9dcfafedd6305ddf466b10de1c3e6bd5b77963c60cf302
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Release files / sporco-0.2.2.post1-py3-none-any.whl
| Download URL | sporco-0.2.2.post1-py3-none-any.whl |
|---|---|
| Size | 4.5 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a5b600be67a062e8efc5e90484cd7043c72f04f84209f435ae711e4fd33f87f8
|
|
BLAKE2b-256 checksum How to use checksums |
40550e34478be4cd365a85853f82e3d4f2b09da9d20b27c98649c1448e21d7c5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|