Python library for declarative, constrained, structured-output prediction.
Pyconstruct is a Python library for declarative, constrained,
structured-output prediction. When using Pyconstruct, the problem specification
can be encoded in MiniZinc, a high-level constraint programming language. This
means that domain knowledge can be declaratively included in the inference
procedure as constraints over the optimization variables.
Check out the Quick Start
guide to learn
how to solve your first problem with Pyconstruct.
Have a look at the docs
and the reference
manual too, to
learn more about it!
Pyconstruct can be installed through pip:
pip install pyconstruct
Or by downloading the code from Github and running the following from the
downloaded directory:
python setup.py install
Before using Pyconstruct you will need to install MiniZinc as well.
Download the latest release of MiniZincIDE and follow the instructions.
Check out the Installation
guide for more details.
This project is developed at
the SML research group at the University of Trento, Italy and
DTAI at KU Leuven, Belgium.
The main developers and maintainers are: