How to use data from Python for Weka?

Question

I've installed weka and the python-weka-wrapper.

I got as far as

from weka.classifiers import Classifier
clf=Classifier(classname="weka.classifiers.rules.JRip")

from random import randint
X = [[randint(1,10) for _ in range(5)] for _ in range(100)]
y = [randint(0,1) for _ in range(100)]

but now I don't know how to load my data which is available as a Python data structure.

How can I load my data matrices, output the rules (in some parsable format) and test the classifier on new data?

fracpete · Accepted Answer · 2015-10-05 08:01:37Z

2

You can create data on the fly, by defining the structure (ie attributes) and then adding the data rows. Also, I added a convenience method to instantiate Instances to the weka.core.dataset module called create_Instances_from_lists, which is scheduled for the next release. This question has been answered on the project's mailing list as well, including examples and pointers.

answered Oct 5, 2015 at 8:01

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fracpete

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