LLFO - Lifelong Learning in Flexible Ontologies
A Python package implementing lifelong learning algorithms with flexible ontological structures.
Theory
LLFO combines lifelong learning with flexible ontological structures to enable continuous knowledge acquisition and adaptation. Key concepts include:
Flexible Ontologies
- Dynamic knowledge representation through adaptable concept hierarchies
- Automatic restructuring of relationships between concepts
- Probabilistic edge weights between ontological nodes
Lifelong Learning Components
- Knowledge retention through experience replay
- Forward transfer to new tasks
- Backward transfer to improve previous knowledge
- Catastrophic forgetting prevention
Learning Mechanisms
- Ontology structure learning
- Parameter learning within nodes
- Relationship weight adaptation
- Task-specific adaptation
Installation
pip install -e .
Usage
import llfo
# Example code coming soon
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for llfo 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| llfo-0.1.0.tar.gz | 2.0 kB | Without provenance | Details for llfo-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| llfo-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for llfo-0.1.0-py3-none-any.whl |
Total release size: 3.9 kB
Release files / llfo-0.1.0.tar.gz
| Download URL | llfo-0.1.0.tar.gz |
|---|---|
| Size | 2.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / llfo-0.1.0-py3-none-any.whl
| Download URL | llfo-0.1.0-py3-none-any.whl |
|---|---|
| Size | 2.0 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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poetry/1.6.1 CPython/3.10.14 Darwin/23.6.0
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