In my opinion the following problem constitutes a bug, but maybe I'm doing something wrong.
I am using the
Generalized Hebbian Algorithm (GHA) Operator and everything works fine until I use it inside a
"Loop parameters" Operator. I use the loop so that I can run the GHA Operator with different parameters for the number of components. However if the loop does multiple iterations I get different results compared to a single execution.
My investigation of the problem showed that beginning with the 2nd loop iteration the GHA operator is calculating a different premodel. There seems to be a side effect from the previous iteration.
My process:
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="6.0.006">
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" compatibility="6.0.006" expanded="true" name="Process">
<process expanded="true">
<operator activated="true" class="loop_parameters" compatibility="6.0.006" expanded="true" height="76" name="Loop Parameters" width="90" x="179" y="165">
<list key="parameters">
<parameter key="GHA.number_of_components" value="[3;4;2;linear]"/>
</list>
<process expanded="true">
<operator activated="true" class="retrieve" compatibility="6.0.006" expanded="true" height="60" name="Retrieve w1024_training" width="90" x="45" y="75">
<parameter key="repository_entry" value="//Anwendungsfall/w1024_training"/>
</operator>
<operator activated="true" class="generalized_hebbian_algorithm" compatibility="6.0.006" expanded="true" height="94" name="GHA" width="90" x="246" y="75">
<parameter key="number_of_components" value="4"/>
</operator>
<operator activated="true" class="support_vector_machine" compatibility="6.0.006" expanded="true" height="112" name="SVM" width="90" x="380" y="75"/>
<operator activated="true" class="retrieve" compatibility="6.0.006" expanded="true" height="60" name="Retrieve w1024_test_set" width="90" x="45" y="255">
<parameter key="repository_entry" value="//Anwendungsfall/w1024_test_set"/>
</operator>
<operator activated="true" class="apply_model" compatibility="6.0.006" expanded="true" height="76" name="Apply Model" width="90" x="246" y="255">
<list key="application_parameters"/>
</operator>
<operator activated="true" class="apply_model" compatibility="6.0.006" expanded="true" height="76" name="Apply Model (2)" width="90" x="380" y="255">
<list key="application_parameters"/>
</operator>
<operator activated="true" class="performance_classification" compatibility="6.0.006" expanded="true" height="76" name="Performance" width="90" x="514" y="165">
<list key="class_weights"/>
</operator>
<connect from_op="Retrieve w1024_training" from_port="output" to_op="GHA" to_port="example set input"/>
<connect from_op="GHA" from_port="example set output" to_op="SVM" to_port="training set"/>
<connect from_op="GHA" from_port="preprocessing model" to_op="Apply Model" to_port="model"/>
<connect from_op="SVM" from_port="model" to_op="Apply Model (2)" to_port="model"/>
<connect from_op="Retrieve w1024_test_set" from_port="output" to_op="Apply Model" to_port="unlabelled data"/>
<connect from_op="Apply Model" from_port="labelled data" to_op="Apply Model (2)" to_port="unlabelled data"/>
<connect from_op="Apply Model (2)" from_port="labelled data" to_op="Performance" to_port="labelled data"/>
<connect from_op="Performance" from_port="performance" to_port="result 1"/>
<portSpacing port="source_input 1" spacing="0"/>
<portSpacing port="sink_performance" spacing="0"/>
<portSpacing port="sink_result 1" spacing="0"/>
<portSpacing port="sink_result 2" spacing="0"/>
</process>
</operator>
<operator activated="true" class="collect" compatibility="6.0.006" expanded="true" height="76" name="Collect" width="90" x="380" y="165"/>
<connect from_op="Loop Parameters" from_port="result 1" to_op="Collect" to_port="input 1"/>
<connect from_op="Collect" from_port="collection" to_port="result 1"/>
<portSpacing port="source_input 1" spacing="0"/>
<portSpacing port="sink_result 1" spacing="0"/>
<portSpacing port="sink_result 2" spacing="0"/>
</process>
</operator>
</process>
[ /code]
