Metadata-Version: 2.1
Name: palaestrai-arsenai
Version: 0.3.2
Summary: Adversarial Resilience Learning Design of Experiments.
Author: The ARL Developers
Author-email: stephan.balduin@offis.de
License: LGPL
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU Lesser General Public License v2 (LGPLv2)
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.6.0
Description-Content-Type: text/markdown
License-File: LICENSE

# Adversarial Resilience Learning --- Design of Experiments


## Introduction

(Coming soon ...)

## Installation

ArsenAI is written in Python. It provides a `setup.py` that installs
the minimal set of packages to run arsenai. Use, preferable in a
virtual environment:

    $ ./setup.py install

or, for development::

    $ pip install -e .

## Usage

ArsenAI comes with an example experiment file. You find it in the folder 
tests/fixtures/. 
To use arsenAI, simply type

```
$ arsenai generate tests/fixtures/example_experiment.yml
```

An output folder will be created 
(default: (current working directory)/_outputs)) and in that directory, 
palaestrAI run files, which can be executed with 
```
$ palaestrai experiment-start _outputs/Dummy\ Experiment_run-0.yml
```

You can copy the example file and modify it to your needs.

## Documentation

(Coming soon ...)

## Development

(Coming soon ...)


