https://github.com/jakob-r/rsmac

rsmac - use SMAC to optimize functions in R
https://github.com/jakob-r/rsmac

blackbox-optimization optimization r r-package

Last synced: about 1 year ago
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rsmac - use SMAC to optimize functions in R

• Host: GitHub
• URL: https://github.com/jakob-r/rsmac
• Owner: jakob-r
• License: mit
• Created: 2017-04-10T06:46:58.000Z (about 9 years ago)
• Default Branch: master
• Last Pushed: 2018-11-09T10:10:34.000Z (over 7 years ago)
• Last Synced: 2025-03-31T15:25:49.862Z (about 1 year ago)
• Topics: blackbox-optimization, optimization, r, r-package
• Language: R
• Homepage:
• Size: 46.9 KB
• Stars: 2
• Watchers: 4
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# rsmac

use smac for r functions

[![Travis-CI Build Status](https://travis-ci.org/jakob-r/rsmac.svg?branch=master)](https://travis-ci.org/jakob-r/rsmac)

[![Coverage Status](https://coveralls.io/repos/github/jakob-r/rsmac/badge.svg?branch=master)](https://coveralls.io/github/jakob-r/rsmac?branch=master)

## Installation

```r

devtools::install_github("jakob-r/rsmac")

# if smac is not installed you can run:

rsmac:::installSmac()

```

## Usage

```r

fun = makeSingleObjectiveFunction(

  name = "my_sphere",

  fn = function(x) {

    sum(x*x) + 7

  },

  par.set = makeParamSet(

    makeNumericVectorParam("x", len = 2L, lower = -5, upper = 5)

  ),

  minimize = TRUE

)

scenario = list("use-instances" = "false", runObj = "QUALITY", numberOfRunsLimit = 10)

res = rsmac(fun, scenario = scenario)

```

To see how to set up your scenario check the [smac manual](http://www.cs.ubc.ca/labs/beta/Projects/SMAC/v2.10.03/manual.pdf).

## Notes

* This package is just tested on purely numeric functions so far.

* This package is designed for Unix systems.

* The interaction with smac works completely over the file system.

* Any help is welcome!