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#10 - change README to reflect move from optional to positional args
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bradleypick committed Jun 19, 2018
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Expand Up @@ -8,23 +8,23 @@ The scripts that work (at least at time of writing) can be run with the followin
This one runs the sequential optimizers (add `--optimizer=PRS` if you only want random search):

```
python src/synthetic-comparison.py --filename=results/syn-results --num_sim=100 --num_iter=1000
python src/synthetic_comparison.py results/syn-results --num_sim=100 --num_iter=1000
```

This one produces parts of Figure 5 (which part is specified by the `--target` parameter):

```
python src/fig-5-generator.py --inputfile=results/syn-results.pkl --outputfile=fig5-90 --target=0.9
python src/fig-5-generator.py results/syn-results.pkl fig5-90 --target=0.9
```

These commands are generating results for the __synthetic__ objective functions. The functionality to generate results corresponding to the 'real world' objective functions is currently being developed.

## Using Docker

Currently the Docker container is designed simply to allow execution of the scripts on a host that doesn't
Currently the Docker container is designed simply to allow execution of the scripts on a host that doesn't
have dependencies (eg, python or certain packages) available locally.

The container can be used interactively at this point by cloning this repo, building the image from the
The container can be used interactively at this point by cloning this repo, building the image from the
Dockerfile, and running it interactively:

```
Expand All @@ -42,7 +42,7 @@ docker run -v <path-to-cloned-repo>/:/home/ -it lipo-python

[BayesOpt](https://arxiv.org/abs/1405.7430)

* R. Martinez-Cantin. BayesOpt: {A} Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits. CoRR. 1405.7430. (2014)
* R. Martinez-Cantin. BayesOpt: {A} Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits. CoRR. 1405.7430. (2014)

[CMA-ES - Covariance Matrix Adaptation Evolution Strategy](https://www.researchgate.net/publication/227050324_The_CMA_Evolution_Strategy_A_Comparing_Review)

Expand All @@ -61,4 +61,3 @@ docker run -v <path-to-cloned-repo>/:/home/ -it lipo-python
[MLSL - Multi-Level Single-Linkage](https://link.springer.com/article/10.1007/BF02592071)

* A. H. G. Rinnooy Kan and G. T. Timmer, "Stochastic global optimization methods," Mathematical Programming, vol. 39, p. 27-78 (1987). (Actually 2 papers — part I: clustering methods, p. 27, then part II: multilevel methods, p. 57.)

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