Difference between revisions of "OoDACE:ooDACE toolbox"

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'''IMPORTANT: Before the toolbox can be used you have to include the toolbox in Matlab's path. You can do this manually by running startup or if Matlab is started in the root toolbox directory then startup will be run automatically.'''
 
'''IMPORTANT: Before the toolbox can be used you have to include the toolbox in Matlab's path. You can do this manually by running startup or if Matlab is started in the root toolbox directory then startup will be run automatically.'''
  
<code><pre>startup</pre></code>
+
<source lang="matlab">
 +
<Plan>
 +
 
 +
</Plan>
 +
 
  
 
Now the toolbox is ready to be used. The blindDACE toolbox is designed in an object oriented (OO) fashion.
 
Now the toolbox is ready to be used. The blindDACE toolbox is designed in an object oriented (OO) fashion.
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However, for convenience wrapper scripts (dacefit, predictor) are provided that simulate the DACE toolbox interface (see section TODO for more information).
 
However, for convenience wrapper scripts (dacefit, predictor) are provided that simulate the DACE toolbox interface (see section TODO for more information).
  
<code><pre>TODO</pre></code>
+
<source lang="matlab">
 +
  ...
 +
  TODO
 +
  ...
 +
<source>
  
 
See the included demo.m script for more example code on how to use the blindDACE toolbox.
 
See the included demo.m script for more example code on how to use the blindDACE toolbox.

Revision as of 11:58, 9 February 2010

blindDACE: A versatile kriging Matlab Toolbox

TODO description

Download

See: [[1]]

Quick start guide

IMPORTANT: Before the toolbox can be used you have to include the toolbox in Matlab's path. You can do this manually by running startup or if Matlab is started in the root toolbox directory then startup will be run automatically.

<source lang="matlab"> <Plan>

</Plan>


Now the toolbox is ready to be used. The blindDACE toolbox is designed in an object oriented (OO) fashion. It is strongly recommended to exploit the OO design directly, i.e., use the Kriging and Optimizer matlab classes. However, for convenience wrapper scripts (dacefit, predictor) are provided that simulate the DACE toolbox interface (see section TODO for more information).

<source lang="matlab">

  ...
  TODO
  ...

<source>

See the included demo.m script for more example code on how to use the blindDACE toolbox.

DACE toolbox interface

dacefit()
predictor()

Contribute

These bindings are very basic but they work for me. Please improve, extend, provide binaries, and of course contribute back.