monopolion-evaluator 0.1.0

Neural net to predict winning probability in Monopoly

Neural net to predict winning probability in Monopoly

• Free software: MIT license

Installation

pip install monopolion-evaluator

You can also install the in-development version with:

pip install https://github.com/miermans/monopolion-evaluator/archive/main.zip

Documentation

https://monopolion-evaluator.readthedocs.io/

Development

To run all the tests run:

tox

Note, to combine the coverage data from all the tox environments run:

Windows	set PYTEST_ADDOPTS=--cov-append tox
Other	PYTEST_ADDOPTS=--cov-append tox

Changelog

0.1.0 (2020-08-03)

• Changed CLI to sub-commands. monopolion-evaluator is now monopolion-evaluator train.

• Added predict sub-command.

• Added –output arg to train, to save the model.

0.0.6 (2020-07-29)

• Added command line arguments to customize classifier

0.0.5 (2020-07-28)

• Fix ‘File already exists’ build error, caused by competing build artifacts

• Fix missing wheel in build

0.0.4 (2020-07-28)

• Added continuous deployment using Travis

0.0.3 (2020-07-28)

• Added Classifier

0.0.2 (2020-07-26)

• Parses GameOutcome protobuf

• Converts protobuf to Pandas DataFrame

0.0.1 (2020-07-25)

• Removed requirements.io to let build pass on Travis.

• Removed support for Python <= 3.5.

0.0.0 (2020-07-24)

• First release on PyPI.