glyph - symbolic regression tools
glyph is a python 3 library based on deap providing abstraction layers for symbolic regression problems.
It comes with batteries included:
- predefined primitive sets
- n-dimensional expression tree class
- symbolic and structure-based constants
- interfacing constant optimization to
scipy.optimize - easy integration with
joblibordask.distributed - symbolic constraints
- boilerplate code for logging, checkpointing, break conditions and command line applications
- rich set of algorithms
glyph also includes a plug and play command line application glyph-remote which lets non-domain experts apply symbolic regression to their optimization tasks.
Installation
Glyph is a python 3.6+ only package.
You can install the latest stable version from PyPI with pip
pip install pyglyph
or get the bleeding edge
pip install git+git://github.com/ambrosys/glyph.git#egg=glyph
Documentation
The online documentation is available at glyph.readthedocs.io.
Bugs, feature requests, contributions
Please use the issue tracker. For contributions have a look at out contribution guide.
1 maintainer
Metadata
1 maintainer
Release files for pyglyph 0.5.3
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Source distribution (sdist)
| File | Size | Uploaded | |
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| pyglyph-0.5.3.tar.gz | 51.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyglyph-0.5.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 91.3 kB
Release files / pyglyph-0.5.3.tar.gz
| Download URL | pyglyph-0.5.3.tar.gz |
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| Size | 51.0 kB |
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Release files / pyglyph-0.5.3-py3-none-any.whl
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| Size | 40.3 kB |
| Tags | Python 3 |
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