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<operator name="Root" class="Process" expanded="yes"> <operator name="ExampleSetGenerator" class="ExampleSetGenerator"> <parameter key="target_function" value="random"/> </operator> <operator name="ChangeAttributeRole" class="ChangeAttributeRole"> <parameter key="name" value="att1"/> <parameter key="target_role" value="label"/> </operator> <operator name="AttributeSubsetPreprocessing" class="AttributeSubsetPreprocessing" expanded="yes"> <parameter key="condition_class" value="attribute_name_filter"/> <parameter key="attribute_name_regex" value="att1"/> <parameter key="process_special_attributes" value="true"/> <operator name="BinDiscretization" class="BinDiscretization"> <parameter key="range_name_type" value="short"/> </operator> </operator></operator>
Some learners need nominal labels, but my data file has +1 & -1, which is recognized by CVSExampleSource as numerical.I tried Numerical2Binomial, but that converts all attributs and not only my label attribute.
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