Metadata-Version: 2.1
Name: pyglyph
Version: 0.5.2
Summary: Symbolic regression tools.
Home-page: https://github.com/Ambrosys/glyph
Author: Markus Abel, Julien Gout, Markus Quade
Author-email: markus.quade@ambrosys.de
License: LGPL
Keywords: complex systems,control,machine learning,genetic programming
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: GNU Library or Lesser General Public License (LGPL)
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: deap
Requires-Dist: dill
Requires-Dist: numpy
Requires-Dist: pyyaml
Requires-Dist: scipy
Requires-Dist: sympy
Requires-Dist: toolz
Requires-Dist: pyzmq
Requires-Dist: matplotlib
Requires-Dist: cache.py (==0.1.3)
Requires-Dist: deprecated
Requires-Dist: stopit
Provides-Extra: gui
Requires-Dist: gooey (>=1.0.0) ; extra == 'gui'

glyph - symbolic regression tools
=================================

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**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 `joblib` or `dask.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](https://glyph.readthedocs.io).

Bugs, feature requests, contributions
-------------------------------------

Please use the [issue tracker](https://github.com/Ambrosys/glyph/issues).
For contributions have a look at out [contribution
guide](https://github.com/ambrosys/glyph/blob/master/.github/CONTRIBUTING).


