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
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.
1 maintainer
Metadata
1 maintainer
Release files for monopolion-evaluator 0.1.0
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Total release size: 32.7 kB
Release files / monopolion-evaluator-0.1.0.tar.gz
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