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glyph

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a python 3 library based on deap providing abstraction layers for symbolic regression problems.

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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).

glyph

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