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MOA
Joaquin Vanschoren edited this page Aug 16, 2017
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OpenML features extensive support for MOA. However currently this is implemented as a stand alone MOA compilation, using the latest version (as of May, 2014).
- Download the standalone MOA environment above.
- Find your API key in your profile (log in first). Create a config file called
openml.conf
in a.openml
directory in your home dir. It should contain the following lines:
api_key = YOUR_KEY
- Launch the JAR file by double clicking on it, or launch from command-line using the following command:
java -cp openmlmoa.beta.jar moa.gui.GUI
- Select the task
moa.tasks.openml.OpenmlDataStreamClassification
to evaluate a classifier on an OpenML task, and send the results to OpenML. - Optionally, you can generate new streams using the Bayesian Network Generator: select the
moa.tasks.WriteStreamToArff
task, withmoa.streams.generators.BayesianNetworkGenerator
.
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