Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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✓DOI references
Found 1 DOI reference(s) in README -
✓Academic publication links
Links to: springer.com -
○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (12.3%) to scientific vocabulary
Repository
Accuracy-based Learning Classifier Systems (XCS)
Basic Info
- Host: GitHub
- Owner: hosford42
- License: bsd-3-clause
- Language: Python
- Default Branch: master
- Homepage: http://hosford42.github.io/xcs/
- Size: 549 KB
Statistics
- Stars: 51
- Watchers: 8
- Forks: 17
- Open Issues: 18
- Releases: 8
Metadata Files
README.md
XCS
Accuracy-based Learning Classifier Systems for Python 3
Links
The package is available for download under the permissive Revised BSD License.
Description
XCS is a Python 3 implementation of the XCS algorithm as described in the 2001 paper, An Algorithmic Description of XCS, by Martin Butz and Stewart Wilson. XCS is a type of Learning Classifier System (LCS), a machine learning algorithm that utilizes a genetic algorithm acting on a rule-based system, to solve a reinforcement learning problem.
In its canonical form, XCS accepts a fixed-width string of bits as its input, and attempts to select the best action from a predetermined list of choices using an evolving set of rules that match inputs and offer appropriate suggestions. It then receives a reward signal indicating the quality of its decision, which it uses to adjust the rule set that was used to make the decision. This process is subsequently repeated, allowing the algorithm to evaluate the changes it has already made and further refine the rule set.
A key feature of XCS is that, unlike many other machine learning algorithms, it not only learns the optimal input/output mapping, but also produces a minimal set of rules for describing that mapping. This is a big advantage over other learning algorithms such as neural networks whose models are largely opaque to human analysis, making XCS an important tool in any data scientist's tool belt.
The XCS library provides not only an implementation of the standard XCS algorithm, but a set of interfaces which together constitute a framework for implementing and experimenting with other LCS variants. Future plans for the XCS library include continued expansion of the tool set with additional algorithms, and refinement of the interface to support reinforcement learning algorithms in general.
Related Projects
- Pier Luca Lanzi's XCS Library (xcslib) (C++)
- Ryan J. Urbanowicz's LCS Implementations for SNP Environment and ExSTraCS (Python)
- Martin Butz's JavaXCSF (Java)
Owner
- Name: Aaron Hosford
- Login: hosford42
- Kind: user
- Location: North Texas
- Website: https://hosford42.github.io
- Repositories: 152
- Profile: https://github.com/hosford42
Programming for >30 years, 16 with Python. Love to code & spend all my spare time doing it. Beyond enthusiastic about Machine Learning & AI.
GitHub Events
Total
- Watch event: 4
- Fork event: 1
Last Year
- Watch event: 4
- Fork event: 1
Committers
Last synced: over 3 years ago
All Time
- Total Commits: 189
- Total Committers: 1
- Avg Commits per committer: 189.0
- Development Distribution Score (DDS): 0.0
Top Committers
| Name | Commits | |
|---|---|---|
| Aaron Hosford | h****2@g****m | 189 |
Issues and Pull Requests
Last synced: 12 months ago
All Time
- Total issues: 26
- Total pull requests: 1
- Average time to close issues: 4 days
- Average time to close pull requests: less than a minute
- Total issue authors: 4
- Total pull request authors: 1
- Average comments per issue: 0.5
- Average comments per pull request: 0.0
- Merged pull requests: 0
- 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
- hosford42 (23)
- Rahul6818 (1)
- elfcorreia (1)
- prakashtewari (1)
Pull Request Authors
- ldacosta (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 2
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Total downloads:
- pypi 79 last-month
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Total dependent packages: 0
(may contain duplicates) -
Total dependent repositories: 5
(may contain duplicates) - Total versions: 10
- Total maintainers: 1
pypi.org: xcs
XCS (Accuracy-based Classifier System)
- Homepage: http://hosford42.github.io/xcs
- Documentation: https://xcs.readthedocs.io/
- License: Revised BSD
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Latest release: 1.0.0
published about 11 years ago
Rankings
Maintainers (1)
pypi.org: pheno
Genetic programming for arbitrary domains
- Homepage: https://github.com/hosford42/xcs
- Documentation: https://pheno.readthedocs.io/
- License: Revised BSD
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Latest release: 0.1.0
published about 11 years ago
Rankings
Maintainers (1)
Dependencies
- numpy *