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- The first input is the source with the data, that should be classified (remark, this must be the same content as the Learner, without the label of course)
- The second input is the classifier to use. This can be retrieved from a learner operator or read from outside.
The operator can be used with the following parameters:
- ATTRIBUTES: A list of input attributes from the testadata that should be used for classification. If not given, any input attribute will be used.
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classified = CLASSIFICATION(testdata, classifier) |
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