GCNN

marcopo

Hey,

have anyone tried the GCNN instance selection method of the ISPR package?

I think it is not working. I always get the same error: "The setup does not seem to contain any obvious errors, but you should check the log messages" --> java.lang.NullpointerException

 <?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.3.008">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="5.3.008" expanded="true" name="Process">
    <process expanded="true">
      <operator activated="true" class="generate_up_selling_data" compatibility="5.3.008" expanded="true" height="60" name="Generate Up-Selling Data" width="90" x="45" y="255"/>
      <operator activated="true" class="prules:gcnn_sel" compatibility="5.2.006" expanded="true" height="94" name="Generalized CNN" width="90" x="246" y="255">
        <process expanded="true">
          <operator activated="true" class="k_nn" compatibility="5.3.008" expanded="true" height="76" name="k-NN" width="90" x="112" y="30">
            <parameter key="weighted_vote" value="true"/>
          </operator>
          <connect from_port="ExampleSet" to_op="k-NN" to_port="training set"/>
          <connect from_op="k-NN" from_port="model" to_port="Model"/>
          <portSpacing port="source_ExampleSet" spacing="0"/>
          <portSpacing port="sink_Model" spacing="0"/>
        </process>
        <process expanded="true">
          <operator activated="true" class="apply_model" compatibility="5.3.008" expanded="true" height="76" name="Apply Model" width="90" x="112" y="30">
            <list key="application_parameters"/>
          </operator>
          <connect from_port="Model" to_op="Apply Model" to_port="model"/>
          <connect from_port="TestSet" to_op="Apply Model" to_port="unlabelled data"/>
          <connect from_op="Apply Model" from_port="labelled data" to_port="Labeled Example Set"/>
          <portSpacing port="source_Model" spacing="0"/>
          <portSpacing port="source_TestSet" spacing="0"/>
          <portSpacing port="sink_Labeled Example Set" spacing="0"/>
        </process>
      </operator>
      <connect from_op="Generate Up-Selling Data" from_port="output" to_op="Generalized CNN" to_port="ExampleSet"/>
      <connect from_op="Generalized CNN" from_port="Prototypes" to_port="result 1"/>
      <connect from_op="Generalized CNN" from_port="ExampleSet" to_port="result 2"/>
      <portSpacing port="source_input 1" spacing="0"/>
      <portSpacing port="sink_result 1" spacing="0"/>
      <portSpacing port="sink_result 2" spacing="0"/>
      <portSpacing port="sink_result 3" spacing="0"/>
    </process>
  </operator>
</process>

Thanks a lot!

marcin_blachnik

Hi

Yes, you are right, there is a bug in this operator. I’m the author of this extension, and soon I’ll provide an update or even a new version of this extension with many new features ex.
- New instance selection algorithms
- Ensemble of instance selection
- More recent version of LVQ algorithm etc.
The new version requires some clean-up to make it publically available. Around the end of September it should appear on the marketplace.
If you are interested I can provide you with the development version where both the GCNN and GENN work good.

Best
Marcin

marcopo

Hey,

ahh alright. Thank you for the information and thank you for the extension. It is an awesome ex. At the moment, I don't need GCNN and GENN. But I am impatient to see the new version ;-)

Best

Marco