# CMA-ES

a CMA-ES based hyperparameter optimization tool.

Prerequisite

```bash
pip install cma
```

basic usage:

```bash
./run.sh 0
```

### Usage

``evo_single.py`` : load initial hyperparameter or previous checkpoint, generate genes for current generation.

``gene2conf.py``:  load genes for current generation, convert them to model description file.

``reporter.py``:  load the evalution result file (e.g. BLEU score) output by each model. report them in a file.

``toy_nmt.py``: Script to generate random score as a fake evaluation score for testing. (format from sockeye-recipe)

### Copyright

Copyright (c) 2018 Shinozaki-lab, Tokyo Institute of Technology.