RapidMiner

Bug in Optimize Parameter operator?

Elite II

Bug in Optimize Parameter operator?

hi,

 

I was using k-nn inside optimize parameter (inside X-Validation) operator... and I was using euklidean and camberra distance for opt parameter settings...

but I noticed, that when using name "k-NN (2)" inside opt. parameter, it does not change the numerical_measure type... when I use a standard name "k-NN", it does change the parameters during running... seems to be a minor bug caused by the naming of the parameter as I experienced it?

3 REPLIES
RMStaff

Re: Bug in Optimize Parameter operator?

Hi,

 

Thanks for pointing this out.  Can you do us a quick favor and post the XML of a process using a data set from the Sample repository?  This would allow our engineers to replicate and chase this bug.

 

Thanks,

Ingo


How to load processes in XML from the forum into RapidMiner: Read this!
Highlighted
Elite II

Re: Bug in Optimize Parameter operator?

ok here is a quick sample process where I used both k-NN:

in the one log the 2 distances show up, but not in the other:

 

<?xml version="1.0" encoding="UTF-8"?><process version="7.4.000">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="7.4.000" expanded="true" name="Process">
    <process expanded="true">
      <operator activated="true" class="retrieve" compatibility="7.4.000" expanded="true" height="68" name="Retrieve Iris" width="90" x="45" y="85">
        <parameter key="repository_entry" value="//Samples/data/Iris"/>
      </operator>
      <operator activated="false" class="x_validation" compatibility="7.4.000" expanded="true" height="124" name="Validation" width="90" x="447" y="34">
        <parameter key="number_of_validations" value="4"/>
        <parameter key="sampling_type" value="stratified sampling"/>
        <process expanded="true">
          <operator activated="true" class="support_vector_machine_libsvm" compatibility="7.4.000" expanded="true" height="82" name="SVM" width="90" x="112" y="34">
            <parameter key="gamma" value="0.007170375144641631"/>
            <parameter key="C" value="227500.0"/>
            <list key="class_weights"/>
          </operator>
          <connect from_port="training" to_op="SVM" to_port="training set"/>
          <connect from_op="SVM" from_port="model" to_port="model"/>
          <portSpacing port="source_training" spacing="0"/>
          <portSpacing port="sink_model" spacing="0"/>
          <portSpacing port="sink_through 1" spacing="0"/>
        </process>
        <process expanded="true">
          <operator activated="true" class="apply_model" compatibility="7.4.000" expanded="true" height="82" name="Apply Model" width="90" x="112" y="34">
            <list key="application_parameters"/>
          </operator>
          <operator activated="true" class="performance_classification" compatibility="7.4.000" expanded="true" height="82" name="Performance" width="90" x="313" y="34">
            <parameter key="kappa" value="true"/>
            <parameter key="weighted_mean_recall" value="true"/>
            <parameter key="weighted_mean_precision" value="true"/>
            <parameter key="correlation" value="true"/>
            <parameter key="squared_correlation" value="true"/>
            <parameter key="margin" value="true"/>
            <list key="class_weights"/>
          </operator>
          <connect from_port="model" to_op="Apply Model" to_port="model"/>
          <connect from_port="test set" to_op="Apply Model" to_port="unlabelled data"/>
          <connect from_op="Apply Model" from_port="labelled data" to_op="Performance" to_port="labelled data"/>
          <connect from_op="Performance" from_port="performance" to_port="averagable 1"/>
          <portSpacing port="source_model" spacing="0"/>
          <portSpacing port="source_test set" spacing="0"/>
          <portSpacing port="source_through 1" spacing="0"/>
          <portSpacing port="sink_averagable 1" spacing="0"/>
          <portSpacing port="sink_averagable 2" spacing="0"/>
        </process>
      </operator>
      <operator activated="true" class="retrieve" compatibility="7.4.000" expanded="true" height="68" name="Retrieve Iris (2)" width="90" x="112" y="340">
        <parameter key="repository_entry" value="//Samples/data/Iris"/>
      </operator>
      <operator activated="true" class="optimize_parameters_grid" compatibility="7.4.000" expanded="true" height="103" name="Optimize Parameters (Grid)" width="90" x="246" y="187">
        <list key="parameters">
          <parameter key="k-NN.k" value="[1.0;20;6;linear]"/>
          <parameter key="k-NN.numerical_measure" value="EuclideanDistance,CamberraDistance"/>
        </list>
        <process expanded="true">
          <operator activated="true" class="concurrency:cross_validation" compatibility="7.4.000" expanded="true" height="145" name="Cross Validation (2)" width="90" x="179" y="34">
            <process expanded="true">
              <operator activated="true" class="k_nn" compatibility="7.4.000" expanded="true" height="82" name="k-NN" width="90" x="179" y="85">
                <parameter key="k" value="20"/>
                <parameter key="numerical_measure" value="CamberraDistance"/>
              </operator>
              <connect from_port="training set" to_op="k-NN" to_port="training set"/>
              <connect from_op="k-NN" from_port="model" to_port="model"/>
              <portSpacing port="source_training set" spacing="0"/>
              <portSpacing port="sink_model" spacing="0"/>
              <portSpacing port="sink_through 1" spacing="0"/>
            </process>
            <process expanded="true">
              <operator activated="true" class="apply_model" compatibility="7.4.000" expanded="true" height="82" name="Apply Model (3)" width="90" x="112" y="34">
                <list key="application_parameters"/>
              </operator>
              <operator activated="true" class="performance_classification" compatibility="7.4.000" expanded="true" height="82" name="Performance (3)" width="90" x="313" y="34">
                <parameter key="kappa" value="true"/>
                <parameter key="weighted_mean_recall" value="true"/>
                <parameter key="weighted_mean_precision" value="true"/>
                <parameter key="correlation" value="true"/>
                <parameter key="squared_correlation" value="true"/>
                <parameter key="margin" value="true"/>
                <list key="class_weights"/>
              </operator>
              <connect from_port="model" to_op="Apply Model (3)" to_port="model"/>
              <connect from_port="test set" to_op="Apply Model (3)" to_port="unlabelled data"/>
              <connect from_op="Apply Model (3)" from_port="labelled data" to_op="Performance (3)" to_port="labelled data"/>
              <connect from_op="Performance (3)" from_port="performance" to_port="performance 1"/>
              <connect from_op="Performance (3)" from_port="example set" to_port="test set results"/>
              <portSpacing port="source_model" spacing="0"/>
              <portSpacing port="source_test set" spacing="0"/>
              <portSpacing port="source_through 1" spacing="0"/>
              <portSpacing port="sink_test set results" spacing="0"/>
              <portSpacing port="sink_performance 1" spacing="0"/>
              <portSpacing port="sink_performance 2" spacing="0"/>
            </process>
          </operator>
          <operator activated="true" class="log" compatibility="7.4.000" expanded="true" height="82" name="Log (3)" width="90" x="380" y="85">
            <list key="log">
              <parameter key="k" value="operator.k-NN.parameter.k"/>
              <parameter key="nummeasure" value="operator.k-NN.parameter.numerical_measure"/>
            </list>
          </operator>
          <connect from_port="input 1" to_op="Cross Validation (2)" to_port="example set"/>
          <connect from_op="Cross Validation (2)" from_port="performance 1" to_op="Log (3)" to_port="through 1"/>
          <connect from_op="Log (3)" from_port="through 1" to_port="performance"/>
          <portSpacing port="source_input 1" spacing="0"/>
          <portSpacing port="source_input 2" spacing="0"/>
          <portSpacing port="sink_performance" spacing="0"/>
          <portSpacing port="sink_result 1" spacing="0"/>
        </process>
      </operator>
      <operator activated="true" class="optimize_parameters_grid" compatibility="7.4.000" expanded="true" height="103" name="Optimize Parameters (2)" width="90" x="246" y="340">
        <list key="parameters">
          <parameter key="k-NN (2).k" value="[1.0;20;6;linear]"/>
          <parameter key="k-NN (2).numerical_measure" value="EuclideanDistance,CamberraDistance"/>
        </list>
        <process expanded="true">
          <operator activated="true" class="concurrency:cross_validation" compatibility="7.4.000" expanded="true" height="145" name="Cross Validation (3)" width="90" x="179" y="34">
            <process expanded="true">
              <operator activated="true" class="k_nn" compatibility="7.4.000" expanded="true" height="82" name="k-NN (2)" width="90" x="179" y="85">
                <parameter key="k" value="20"/>
                <parameter key="numerical_measure" value="CamberraDistance"/>
              </operator>
              <connect from_port="training set" to_op="k-NN (2)" to_port="training set"/>
              <connect from_op="k-NN (2)" from_port="model" to_port="model"/>
              <portSpacing port="source_training set" spacing="0"/>
              <portSpacing port="sink_model" spacing="0"/>
              <portSpacing port="sink_through 1" spacing="0"/>
            </process>
            <process expanded="true">
              <operator activated="true" class="apply_model" compatibility="7.4.000" expanded="true" height="82" name="Apply Model (4)" width="90" x="112" y="34">
                <list key="application_parameters"/>
              </operator>
              <operator activated="true" class="performance_classification" compatibility="7.4.000" expanded="true" height="82" name="Performance (4)" width="90" x="313" y="34">
                <parameter key="kappa" value="true"/>
                <parameter key="weighted_mean_recall" value="true"/>
                <parameter key="weighted_mean_precision" value="true"/>
                <parameter key="correlation" value="true"/>
                <parameter key="squared_correlation" value="true"/>
                <parameter key="margin" value="true"/>
                <list key="class_weights"/>
              </operator>
              <connect from_port="model" to_op="Apply Model (4)" to_port="model"/>
              <connect from_port="test set" to_op="Apply Model (4)" to_port="unlabelled data"/>
              <connect from_op="Apply Model (4)" from_port="labelled data" to_op="Performance (4)" to_port="labelled data"/>
              <connect from_op="Performance (4)" from_port="performance" to_port="performance 1"/>
              <connect from_op="Performance (4)" from_port="example set" to_port="test set results"/>
              <portSpacing port="source_model" spacing="0"/>
              <portSpacing port="source_test set" spacing="0"/>
              <portSpacing port="source_through 1" spacing="0"/>
              <portSpacing port="sink_test set results" spacing="0"/>
              <portSpacing port="sink_performance 1" spacing="0"/>
              <portSpacing port="sink_performance 2" spacing="0"/>
            </process>
          </operator>
          <operator activated="true" class="log" compatibility="7.4.000" expanded="true" height="82" name="Log (4)" width="90" x="447" y="85">
            <list key="log">
              <parameter key="k" value="operator.k-NN.parameter.k"/>
              <parameter key="nummeasure" value="operator.k-NN.parameter.numerical_measure"/>
            </list>
          </operator>
          <connect from_port="input 1" to_op="Cross Validation (3)" to_port="example set"/>
          <connect from_op="Cross Validation (3)" from_port="performance 1" to_op="Log (4)" to_port="through 1"/>
          <connect from_op="Log (4)" from_port="through 1" to_port="performance"/>
          <portSpacing port="source_input 1" spacing="0"/>
          <portSpacing port="source_input 2" spacing="0"/>
          <portSpacing port="sink_performance" spacing="0"/>
          <portSpacing port="sink_result 1" spacing="0"/>
        </process>
      </operator>
      <connect from_op="Retrieve Iris" from_port="output" to_op="Optimize Parameters (Grid)" to_port="input 1"/>
      <connect from_op="Retrieve Iris (2)" from_port="output" to_op="Optimize Parameters (2)" to_port="input 1"/>
      <connect from_op="Optimize Parameters (Grid)" from_port="performance" to_port="result 1"/>
      <connect from_op="Optimize Parameters (2)" from_port="performance" 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>
Community Manager

Re: Bug in Optimize Parameter operator?

Thanks @Fred12 for the process. I've tested it with a lower compatability too and the problem is the same. I have pinged the developers. 

Regards,
T-Bone
Twitter: @neuralmarket