Science Score: 23.0%
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○CITATION.cff file
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○codemeta.json file
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✓DOI references
Found 1 DOI reference(s) in README -
✓Academic publication links
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○Scientific vocabulary similarity
Low similarity (12.1%) to scientific vocabulary
Keywords
Repository
A package for Multiple Kernel Learning in Python
Basic Info
Statistics
- Stars: 131
- Watchers: 9
- Forks: 45
- Open Issues: 8
- Releases: 0
Topics
Metadata Files
README.md
MKLpy
MKLpy is a framework for Multiple Kernel Learning (MKL) inspired by the scikit-learn project.
This package contains: * the implementation of some MKL algorithms; * tools to operate on kernels, such as normalization, centering, summation, average...; * metrics, such as kernel_alignment, radius of Minimum Enclosing Ball, margin between classes, spectral ratio...; * kernel functions, including boolean kernels (disjunctive, conjunctive, DNF, CNF) and string kernels (spectrum, fixed length and all subsequences).
The main MKL algorithms implemented in this library are
|Name |Short description | Status | Source | |-----------|------------------|--------|:------:| | AverageMKL| Computes the simple average of base kernels | Available | - | | EasyMKL | Fast and memory efficient margin-based combination | Available |[1] | | GRAM | Radius/margin ratio optimization | Available |[2] | | R-MKL | Radius/margin ratio optimization | Available |[3] | | MEMO | Margin maximization and complexity minimization | Available |[4] | | PWMK | Heuristic based on individual kernels performance | Avaible |[5] | | FHeuristic| Heuristic based on kernels alignment | Available |[6] | | CKA | Centered kernel alignment optimization in closed form| Available|[7] | | SimpleMKL | Alternate margin maximization | Work in progress |[5]|
The documentation of MKLpy is available on readthedocs.io!
Installation
MKLpy is also available on PyPI:
sh
pip install MKLpy
MKLpy leverages multiple scientific libraries, that are numpy, scikit-learn, PyTorch, and CVXOPT.
Examples
The folder examples contains several scripts and snippets of codes to show the potentialities of MKLpy. The examples show how to train a classifier, how to process data, and how to use kernel functions.
Additionally, you may read our tutorials
Work in progress
MKLpy is under development! We are working to integrate several features, including: * additional MKL algorithms; * more kernels for structured data; * efficient optimization
Citing MKLpy
If you use MKLpy for a scientific purpose, please cite the following preprint.
@article{lauriola2020mklpy,
title={MKLpy: a python-based framework for Multiple Kernel Learning},
author={Lauriola, Ivano and Aiolli, Fabio},
journal={arXiv preprint arXiv:2007.09982},
year={2020}
}
Owner
- Name: Ivano
- Login: IvanoLauriola
- Kind: user
- Repositories: 1
- Profile: https://github.com/IvanoLauriola
GitHub Events
Total
- Issues event: 1
- Watch event: 4
- Fork event: 1
Last Year
- Issues event: 1
- Watch event: 4
- Fork event: 1
Committers
Last synced: over 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| ivanolauriola | i****a@g****m | 135 |
| Mirko | m****8@g****m | 2 |
| ivanolauriola | i****a@g****m | 1 |
| Lauriola Ivano | i****l@l****t | 1 |
| Stefano Campese | s****e@o****m | 1 |
| Matteo Lisotto | m****o@g****m | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 21
- Total pull requests: 8
- Average time to close issues: 3 months
- Average time to close pull requests: 6 months
- Total issue authors: 20
- Total pull request authors: 5
- Average comments per issue: 2.19
- Average comments per pull request: 0.0
- Merged pull requests: 4
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- Dawntown (2)
- Ausen-Good (1)
- abnerzyx (1)
- bixiu (1)
- HarlanZhou (1)
- Mr-brillianter (1)
- Jerry-Jie-Xie (1)
- KARTHEEKCIC (1)
- palita-s (1)
- ghost (1)
- caowencai (1)
- chachalin (1)
- eddiewrc (1)
- greenstick (1)
- raamana (1)
Pull Request Authors
- IvanoLauriola (2)
- raamana (2)
- Oghma (2)
- sirCamp (1)
- Daksh (1)
Top Labels
Issue Labels
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Packages
- Total packages: 1
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Total downloads:
- pypi 190 last-month
- Total dependent packages: 1
- Total dependent repositories: 1
- Total versions: 10
- Total maintainers: 1
pypi.org: mklpy
A package for Multiple Kernel Learning scikit-compliant
- Homepage: https://github.com/IvanoLauriola/MKLpy
- Documentation: https://mklpy.readthedocs.io/
- License: GNU General Public License v3.0
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Latest release: 0.5.2
published over 5 years ago
Rankings
Maintainers (1)
Dependencies
- mkdocs-material *
- mkdocs-material-extensions *
- pymdown-extensions *
- cvxopt *
- numpy >1.18
- scikit-learn *
- torch *
- cvxopt *
- numpy *
- scikit-learn *
- torch *