Cannot map index of nominal attribute to nominal value

Legacy User

Hi,

after recently updating my RapidMiner (branch Zaniah), the AttributeSubsetPreprocessing
operator somehow fails.

This is my model:

<operator name="Root" class="Process" expanded="yes">
    <operator name="CSVExampleSource" class="CSVExampleSource">
        <parameter key="filename"	value="examples.csv"/>
        <parameter key="label_name"	value="result"/>
    </operator>
    <operator name="AttributeSubsetPreprocessing" class="AttributeSubsetPreprocessing" expanded="yes">
        <parameter key="attribute_name_regex"	value="result"/>
        <parameter key="condition_class"	value="attribute_name_filter"/>
        <parameter key="process_special_attributes"	value="true"/>
        <operator name="UserBasedDiscretization" class="UserBasedDiscretization">
            <list key="classes">
              <parameter key="no"	value="1000000.0"/>
              <parameter key="yes"	value="99.0"/>
            </list>
        </operator>
    </operator>
    <operator name="RandomForest" class="RandomForest">
    </operator>
</operator>

The dataset consists of numerical and nominal features, while the labels
are percent value. In order to use them for classification, I preprocess
my data by replacing all labels (named result) >= 99.0 with "yes", while setting the
other labels to "no". This worked fine with RapidMiner 4.2. With the
recent version I get the error message:

AttributeTypeException Process failed Message: Cannot map index of nominal attribute to nominal value: index -1 is out of bounds!

Any ideas what is wrong?

Regards,
Paul

land

Hi Paul,
did you try to set the upper bound of label no to "Infinity" ? This might help if values above 1000000 occur.
But I must admint that the operator info states that a additional class will be introduced then, but this doesn't happen for some reason. I will check that, but probably I will not get it done before next year.

Greetings,
  Sebastian