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One-Class SVM

Hi all,

I have a problem while trying to build a model with LibSVM (One-class SVM) operator.

Label is Polynomial, but i transformed it in Binominal, and later (like from stackoverflow) had Filtered dataset to show only those cases which are "true". After Filter examples, I used Map operator, and then libSVM.

On test side of CrossValidation, after ApplyModel, I used Map operator where the selected attribute is prediction, and values for mapping are: inside -> true, and outside -> false.

Unfortunately, every time I start the process, I get an error: "java.lang.UnsupportedOperationException".

Thanks in advance for your help!

Best wishes,

Milos Panic

More detail about error:

(

Exception: java.lang.UnsupportedOperationException
Message: java.lang.UnsupportedOperationException: java.lang.UnsupportedOperationException
Stack trace:
sun.reflect.GeneratedConstructorAccessor294.newInstance(Unknown Source)
sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
java.lang.reflect.Constructor.newInstance(Constructor.java:422)
java.util.concurrent.ForkJoinTask.getThrowableException(ForkJoinTask.java:593)
java.util.concurrent.ForkJoinTask.get(ForkJoinTask.java:1005)
com.rapidminer.studio.concurrency.internal.StudioConcurrencyContext.collectResults(StudioConcurrencyContext.java:185)
com.rapidminer.studio.concurrency.internal.StudioConcurrencyContext.call(StudioConcurrencyContext.java:127)
com.rapidminer.extension.concurrency.execution.BackgroundExecutionService.executeOperatorTasks(BackgroundExecutionService.java:385)
com.rapidminer.extension.concurrency.operator.process_control.loops.LoopOperator.performParallelLoop(LoopOperator.java:173)
com.rapidminer.extension.concurrency.operator.process_control.loops.LoopOperator.doWork(LoopOperator.java:85)
com.rapidminer.operator.Operator.execute(Operator.java:1004)
com.rapidminer.operator.execution.SimpleUnitExecutor.execute(SimpleUnitExecutor.java:77)
com.rapidminer.operator.ExecutionUnit$3.run(ExecutionUnit.java:812)
com.rapidminer.operator.ExecutionUnit$3.run(ExecutionUnit.java:807)
java.security.AccessController.doPrivileged(Native Method)
com.rapidminer.operator.ExecutionUnit.execute(ExecutionUnit.java:807)
com.rapidminer.operator.OperatorChain.doWork(OperatorChain.java:428)
com.rapidminer.operator.Operator.execute(Operator.java:1004)
com.rapidminer.Process.run(Process.java:1315)
com.rapidminer.Process.run(Process.java:1179)
com.rapidminer.Process.run(Process.java:1132)
com.rapidminer.Process.run(Process.java:1127)
com.rapidminer.Process.run(Process.java:1117)
com.rapidminer.gui.ProcessThread.run(ProcessThread.java:65)
Cause
Exception: java.lang.UnsupportedOperationException
Message: java.lang.UnsupportedOperationException
Stack trace:
sun.reflect.GeneratedConstructorAccessor294.newInstance(Unknown Source)
sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
java.lang.reflect.Constructor.newInstance(Constructor.java:422)
java.util.concurrent.ForkJoinTask.getThrowableException(ForkJoinTask.java:593)
java.util.concurrent.ForkJoinTask.get(ForkJoinTask.java:1005)
com.rapidminer.studio.concurrency.internal.StudioConcurrencyContext.collectResults(StudioConcurrencyContext.java:185)
com.rapidminer.studio.concurrency.internal.StudioConcurrencyContext.call(StudioConcurrencyContext.java:127)
com.rapidminer.extension.concurrency.execution.BackgroundExecutionService.executeOperatorTasks(BackgroundExecutionService.java:385)
com.rapidminer.extension.concurrency.operator.validation.CrossValidationOperator.performParallelValidation(CrossValidationOperator.java:428)
com.rapidminer.extension.concurrency.operator.validation.CrossValidationOperator.doWork(CrossValidationOperator.java:280)
com.rapidminer.operator.Operator.execute(Operator.java:1004)
com.rapidminer.operator.execution.SimpleUnitExecutor.execute(SimpleUnitExecutor.java:77)
com.rapidminer.operator.ExecutionUnit$3.run(ExecutionUnit.java:812)
com.rapidminer.operator.ExecutionUnit$3.run(ExecutionUnit.java:807)
java.security.AccessController.doPrivileged(Native Method)
com.rapidminer.operator.ExecutionUnit.execute(ExecutionUnit.java:807)
com.rapidminer.extension.concurrency.operator.process_control.loops.LoopOperator.doIteration(LoopOperator.java:240)
com.rapidminer.extension.concurrency.operator.process_control.loops.LoopOperator.access$300(LoopOperator.java:42)
com.rapidminer.extension.concurrency.operator.process_control.loops.LoopOperator$2.call(LoopOperator.java:165)
com.rapidminer.extension.concurrency.operator.process_control.loops.LoopOperator$2.call(LoopOperator.java:156)
com.rapidminer.extension.concurrency.execution.BackgroundExecutionService$ExecutionCallable.call(BackgroundExecutionService.java:349)
java.util.concurrent.ForkJoinTask$AdaptedCallable.exec(ForkJoinTask.java:1424)
java.util.concurrent.ForkJoinTask.doExec(ForkJoinTask.java:289)
java.util.concurrent.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1056)
java.util.concurrent.ForkJoinPool.runWorker(ForkJoinPool.java:1689)
java.util.concurrent.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:157)
Cause
Exception: java.lang.UnsupportedOperationException
Message: null
Stack trace:
java.util.AbstractList.remove(AbstractList.java:161)
java.util.AbstractList$Itr.remove(AbstractList.java:374)
java.util.AbstractList.removeRange(AbstractList.java:571)
java.util.AbstractList.clear(AbstractList.java:234)
com.rapidminer.operator.learner.functions.kernel.LibSVMModel.performPrediction(LibSVMModel.java:169)
com.rapidminer.operator.learner.PredictionModel.apply(PredictionModel.java:116)
com.rapidminer.operator.ModelApplier.doWork(ModelApplier.java:134)
com.rapidminer.operator.Operator.execute(Operator.java:1004)
com.rapidminer.operator.execution.SimpleUnitExecutor.execute(SimpleUnitExecutor.java:77)
com.rapidminer.operator.ExecutionUnit$3.run(ExecutionUnit.java:812)
com.rapidminer.operator.ExecutionUnit$3.run(ExecutionUnit.java:807)
java.security.AccessController.doPrivileged(Native Method)
com.rapidminer.operator.ExecutionUnit.execute(ExecutionUnit.java:807)
com.rapidminer.extension.concurrency.operator.validation.CrossValidationOperator.test(CrossValidationOperator.java:473)
com.rapidminer.extension.concurrency.operator.validation.CrossValidationOperator.access$300(CrossValidationOperator.java:59)
com.rapidminer.extension.concurrency.operator.validation.CrossValidationOperator$8.call(CrossValidationOperator.java:418)
com.rapidminer.extension.concurrency.operator.validation.CrossValidationOperator$8.call(CrossValidationOperator.java:402)
com.rapidminer.extension.concurrency.execution.BackgroundExecutionService$ExecutionCallable.call(BackgroundExecutionService.java:349)
java.util.concurrent.ForkJoinTask$AdaptedCallable.exec(ForkJoinTask.java:1424)
java.util.concurrent.ForkJoinTask.doExec(ForkJoinTask.java:289)
java.util.concurrent.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1056)
java.util.concurrent.ForkJoinPool.runWorker(ForkJoinPool.java:1689)
java.util.concurrent.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:157)

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Accepted answers

All comments

Thomas_Ott

Do you have a process to share?

pankestyle

Dear Thomas,

Here is the process:

<?xml version="1.0" encoding="UTF-8"?><process version="7.5.003">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="7.5.003" expanded="true" name="Process">
    <process expanded="true">
      <operator activated="true" class="retrieve" compatibility="7.5.003" expanded="true" height="68" name="Retrieve Train" width="90" x="45" y="34">
        <parameter key="repository_entry" value="//Prudential Life Insurance/Podaci/Train"/>
      </operator>
      <operator activated="true" class="subprocess" compatibility="7.5.003" expanded="true" height="124" name="Preprocessing" width="90" x="179" y="136">
        <process expanded="true">
          <operator activated="true" class="split_data" compatibility="7.5.003" expanded="true" height="82" name="Split Data" width="90" x="45" y="34">
            <enumeration key="partitions">
              <parameter key="ratio" value="0.7"/>
              <parameter key="ratio" value="0.3"/>
            </enumeration>
          </operator>
          <operator activated="true" class="remove_useless_attributes" compatibility="7.5.003" expanded="true" height="82" name="Remove Useless Attributes" width="90" x="45" y="136">
            <parameter key="numerical_min_deviation" value="0.005"/>
            <parameter key="nominal_useless_above" value="0.95"/>
            <parameter key="nominal_remove_id_like" value="true"/>
          </operator>
          <operator activated="true" class="remove_correlated_attributes" compatibility="7.5.003" expanded="true" height="82" name="Remove Correlated Attributes" width="90" x="45" y="289"/>
          <operator activated="true" class="weight_by_gini_index" compatibility="7.5.003" expanded="true" height="82" name="Weight by Gini Index" width="90" x="179" y="289">
            <parameter key="normalize_weights" value="true"/>
          </operator>
          <operator activated="true" class="select_by_weights" compatibility="7.5.003" expanded="true" height="103" name="Select by Weights" width="90" x="313" y="289">
            <parameter key="weight_relation" value="top k"/>
            <parameter key="k" value="47"/>
          </operator>
          <operator activated="true" class="nominal_to_binominal" compatibility="7.5.003" expanded="true" height="103" name="Nominal to Binominal" width="90" x="179" y="136">
            <parameter key="attribute_filter_type" value="single"/>
            <parameter key="attribute" value="Response"/>
            <parameter key="include_special_attributes" value="true"/>
          </operator>
          <operator activated="true" class="set_role" compatibility="7.5.003" expanded="true" height="82" name="Set Role" width="90" x="246" y="34">
            <parameter key="attribute_name" value="Response = 1"/>
            <parameter key="target_role" value="label1"/>
            <list key="set_additional_roles">
              <parameter key="Response = 2" value="label2"/>
              <parameter key="Response = 3" value="label3"/>
              <parameter key="Response = 4" value="label4"/>
              <parameter key="Response = 5" value="label5"/>
              <parameter key="Response = 6" value="label6"/>
              <parameter key="Response = 7" value="label7"/>
              <parameter key="Response = 8" value="label8"/>
            </list>
          </operator>
          <operator activated="true" class="replace_missing_values" compatibility="7.5.003" expanded="true" height="103" name="Replace Missing Values" width="90" x="380" y="34">
            <parameter key="include_special_attributes" value="true"/>
            <list key="columns"/>
          </operator>
          <operator activated="true" class="nominal_to_numerical" compatibility="7.5.003" expanded="true" height="103" name="Nominal to Numerical" width="90" x="514" y="34">
            <parameter key="attribute_filter_type" value="subset"/>
            <parameter key="attributes" value="Response = 8|Response = 7|Response = 6|Response = 5|Response = 4|Response = 3|Response = 2|Response = 1"/>
            <parameter key="invert_selection" value="true"/>
            <parameter key="include_special_attributes" value="true"/>
            <list key="comparison_groups"/>
          </operator>
          <connect from_port="in 1" to_op="Split Data" to_port="example set"/>
          <connect from_op="Split Data" from_port="partition 1" to_op="Remove Useless Attributes" to_port="example set input"/>
          <connect from_op="Remove Useless Attributes" from_port="example set output" to_op="Remove Correlated Attributes" to_port="example set input"/>
          <connect from_op="Remove Correlated Attributes" from_port="example set output" to_op="Weight by Gini Index" to_port="example set"/>
          <connect from_op="Weight by Gini Index" from_port="weights" to_op="Select by Weights" to_port="weights"/>
          <connect from_op="Weight by Gini Index" from_port="example set" to_op="Select by Weights" to_port="example set input"/>
          <connect from_op="Select by Weights" from_port="example set output" to_op="Nominal to Binominal" to_port="example set input"/>
          <connect from_op="Select by Weights" from_port="weights" to_port="out 2"/>
          <connect from_op="Nominal to Binominal" from_port="example set output" to_op="Set Role" to_port="example set input"/>
          <connect from_op="Set Role" from_port="example set output" to_op="Replace Missing Values" to_port="example set input"/>
          <connect from_op="Replace Missing Values" from_port="example set output" to_op="Nominal to Numerical" to_port="example set input"/>
          <connect from_op="Nominal to Numerical" from_port="example set output" to_port="out 1"/>
          <portSpacing port="source_in 1" spacing="0"/>
          <portSpacing port="source_in 2" spacing="0"/>
          <portSpacing port="sink_out 1" spacing="0"/>
          <portSpacing port="sink_out 2" spacing="0"/>
          <portSpacing port="sink_out 3" spacing="0"/>
          <portSpacing port="sink_out 4" spacing="0"/>
        </process>
      </operator>
      <operator activated="true" class="loop_labels" compatibility="7.5.003" expanded="true" height="124" name="Loop Labels" width="90" x="380" y="34">
        <process expanded="true">
          <operator activated="true" breakpoints="after" class="concurrency:cross_validation" compatibility="7.5.003" expanded="true" height="145" name="Cross Validation" width="90" x="179" y="136">
            <process expanded="true">
              <operator activated="true" class="filter_examples" compatibility="7.5.003" expanded="true" height="103" name="Filter Examples" width="90" x="45" y="34">
                <parameter key="parameter_string" value="Response{=1}=true"/>
                <parameter key="parameter_expression" value="contains([Response = 1]||[Response = 2]||[Response = 3]||[Response = 4]||[Response = 5]||[Response = 6]||[Response = 7]||[Response = 8],true)"/>
                <list key="filters_list">
                  <parameter key="filters_entry_key" value="Response = 1.equals.true"/>
                </list>
              </operator>
              <operator activated="true" class="map" compatibility="7.5.003" expanded="true" height="82" name="Map to true" width="90" x="45" y="187">
                <parameter key="attribute_filter_type" value="subset"/>
                <parameter key="attributes" value="Response = 8|Response = 7|Response = 6|Response = 5|Response = 4|Response = 3|Response = 2|Response = 1"/>
                <parameter key="include_special_attributes" value="true"/>
                <list key="value_mappings">
                  <parameter key="true" value="true"/>
                  <parameter key="false" value="true"/>
                </list>
              </operator>
              <operator activated="true" class="support_vector_machine_libsvm" compatibility="7.5.003" expanded="true" height="82" name="SVM" width="90" x="179" y="289">
                <parameter key="svm_type" value="one-class"/>
                <parameter key="kernel_type" value="linear"/>
                <parameter key="cache_size" value="500"/>
                <list key="class_weights"/>
                <parameter key="shrinking" value="false"/>
                <parameter key="confidence_for_multiclass" value="false"/>
              </operator>
              <connect from_port="training set" to_op="Filter Examples" to_port="example set input"/>
              <connect from_op="Filter Examples" from_port="example set output" to_op="Map to true" to_port="example set input"/>
              <connect from_op="Map to true" from_port="example set output" to_op="SVM" to_port="training set"/>
              <connect from_op="SVM" 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="7.5.003" expanded="true" height="82" name="Apply Model" width="90" x="45" y="34">
                <list key="application_parameters"/>
              </operator>
              <operator activated="true" class="map" compatibility="7.5.003" expanded="true" height="82" name="Map back" width="90" x="45" y="136">
                <parameter key="include_special_attributes" value="true"/>
                <list key="value_mappings">
                  <parameter key="inside" value="true"/>
                  <parameter key="outside" value="false"/>
                </list>
              </operator>
              <operator activated="true" class="performance_binominal_classification" compatibility="7.5.003" expanded="true" height="82" name="Performance" width="90" x="112" y="289">
                <parameter key="main_criterion" value="kappa"/>
                <parameter key="classification_error" value="true"/>
                <parameter key="kappa" value="true"/>
                <parameter key="AUC" value="true"/>
              </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="Map back" to_port="example set input"/>
              <connect from_op="Map back" from_port="example set output" to_op="Performance" to_port="labelled data"/>
              <connect from_op="Performance" from_port="performance" to_port="performance 1"/>
              <connect from_op="Performance" 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>
          <connect from_port="example set" to_op="Cross Validation" to_port="example set"/>
          <connect from_op="Cross Validation" from_port="model" to_port="out 1"/>
          <connect from_op="Cross Validation" from_port="test result set" to_port="out 3"/>
          <connect from_op="Cross Validation" from_port="performance 1" to_port="out 2"/>
          <portSpacing port="source_example set" spacing="0"/>
          <portSpacing port="sink_out 1" spacing="0"/>
          <portSpacing port="sink_out 2" spacing="0"/>
          <portSpacing port="sink_out 3" spacing="0"/>
          <portSpacing port="sink_out 4" spacing="0"/>
        </process>
      </operator>
      <connect from_op="Retrieve Train" from_port="output" to_op="Preprocessing" to_port="in 1"/>
      <connect from_op="Preprocessing" from_port="out 1" to_op="Loop Labels" to_port="example set"/>
      <connect from_op="Preprocessing" from_port="out 2" to_port="result 4"/>
      <connect from_op="Loop Labels" from_port="out 1" to_port="result 1"/>
      <connect from_op="Loop Labels" from_port="out 2" to_port="result 2"/>
      <connect from_op="Loop Labels" from_port="out 3" to_port="result 3"/>
      <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"/>
      <portSpacing port="sink_result 4" spacing="0"/>
      <portSpacing port="sink_result 5" spacing="0"/>
    </process>
  </operator>
</process>

If it could help, i can upload .rmp or .csv file.

Thank you,

Milos Panic

Thomas_Ott

Ok, do can you give an example of the data structure?

pankestyle

Dear Thomas,

Sure. This dataset is from one of competitions on Kaggle.

And it is reduced to 30% of cases.

Thanks in advance,

Milos Panic

train 30%.csv

pankestyle

...Anyone?