Skip to main content

skpomade

skpomade: PrObabilistic MAtrix DEcompositions from Halko et al., 2011

Python implementation of algorithms from paper Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions, by N. Halko, P. G. Martinsson and J. A. Tropp, SIAM review, 53 (2), 2011.

Install

Install the current release with pip:

pip install skpomade

For additional details, see doc/install.rst.

Usage

See the documentation.

Bugs

Please report any bugs that you find through the skpomade GitLab project.

You can also fork the repository and create a merge request.

Source code

The source code of skpomade is available via its GitLab project.

You can clone the git repository of the project using the command:

git clone git@gitlab.lis-lab.fr:valentin.emiya/skpomade.git

Contributors

License

Released under the GNU General Public License version 3 or later (see LICENSE.txt).

Metadata

Release files for skpomade 0.1.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for skpomade 0.1.4
File Size Uploaded Provenance
skpomade-0.1.4.tar.gz 28.4 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for skpomade 0.1.4
File Interpreter ABI Platform
skpomade-0.1.4-py3-none-any.whl Python 3 none any Details

Total release size: 49.9 kB

Release files / skpomade-0.1.4.tar.gz

Download URL skpomade-0.1.4.tar.gz
Size 28.4 kB
Tags Source
SHA-256 checksum
How to use checksums
9ea0a050b52602b17153d3337fda5418e32f946da7efe5b008c0b26bf36888ae
BLAKE2b-256 checksum
How to use checksums
2d3060f8751b3599f306fa7bacd34035026d2303865ba8488187668b0115d24a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.10.0 pkginfo/1.4.2 requests/2.23.0 setuptools/27.2.0 requests-toolbelt/0.8.0 tqdm/4.23.4 CPython/3.6.2

Release files / skpomade-0.1.4-py3-none-any.whl

Download URL skpomade-0.1.4-py3-none-any.whl
Size 21.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
09762f91bce19ce1f23793163572817a0cd855250924b69e1fec11197535612a
BLAKE2b-256 checksum
How to use checksums
dcba3347f18e052979217d533aa7755a17fb97462b79781f754ed3ed5a800685
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.10.0 pkginfo/1.4.2 requests/2.23.0 setuptools/27.2.0 requests-toolbelt/0.8.0 tqdm/4.23.4 CPython/3.6.2

Security for skpomade 0.1.4

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.1.4 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page