semvec/pypi-packages huggingface dataset:
monopolion-evaluator 0.1.0
Neural net to predict winning probability in Monopoly
License: MIT
Requires Python: >=3.6, <4
Keywords: monopoly,ai,machine learning,neural network,deep learning

========
Overview
========



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:

.. list-table::
    :widths: 10 90
    :stub-columns: 1

    - - 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.