Hello.
I'm new here (forum and rapidminer both). Sorry, my English isn't good.
I have "process failed" message when I try to run the following process:
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.3.015">
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" compatibility="5.3.015" expanded="true" name="Process">
<process expanded="true">
<operator activated="true" class="subprocess" compatibility="5.3.015" expanded="true" height="76" name="Gen. Data" width="90" x="45" y="30">
<process expanded="true">
<operator activated="true" class="generate_data" compatibility="5.3.015" expanded="true" height="60" name="Generate Data" width="90" x="45" y="30">
<parameter key="number_examples" value="30"/>
<parameter key="number_of_attributes" value="1"/>
</operator>
<operator activated="true" class="rename" compatibility="5.3.015" expanded="true" height="76" name="Rename" width="90" x="180" y="30">
<parameter key="old_name" value="att1"/>
<parameter key="new_name" value="X"/>
<list key="rename_additional_attributes"/>
</operator>
<operator activated="true" class="generate_attributes" compatibility="5.3.015" expanded="true" height="76" name="Generate Attributes" width="90" x="315" y="30">
<list key="function_descriptions">
<parameter key="Y" value="50*sin(X)"/>
</list>
</operator>
<operator activated="true" class="exchange_roles" compatibility="5.3.015" expanded="true" height="76" name="Exchange Roles" width="90" x="447" y="30">
<parameter key="first_attribute" value="label"/>
<parameter key="second_attribute" value="Y"/>
</operator>
<operator activated="true" class="select_attributes" compatibility="5.3.015" expanded="true" height="76" name="Select Attributes" width="90" x="581" y="30">
<parameter key="attribute_filter_type" value="subset"/>
<parameter key="attributes" value="|Y|X"/>
</operator>
<connect from_op="Generate Data" from_port="output" to_op="Rename" to_port="example set input"/>
<connect from_op="Rename" from_port="example set output" to_op="Generate Attributes" to_port="example set input"/>
<connect from_op="Generate Attributes" from_port="example set output" to_op="Exchange Roles" to_port="example set input"/>
<connect from_op="Exchange Roles" from_port="example set output" to_op="Select Attributes" to_port="example set input"/>
<connect from_op="Select Attributes" from_port="example set output" to_port="out 1"/>
<portSpacing port="source_in 1" spacing="0"/>
<portSpacing port="sink_out 1" spacing="0"/>
<portSpacing port="sink_out 2" spacing="0"/>
</process>
</operator>
<operator activated="true" class="multiply" compatibility="5.3.015" expanded="true" height="94" name="Multiply" width="90" x="179" y="30"/>
<operator activated="false" class="optimize_parameters_grid" compatibility="5.3.015" expanded="true" height="130" name="Optimize Parameters (Grid)" width="90" x="313" y="30">
<list key="parameters">
<parameter key="Neural Net.learning_rate" value="[0.0001;1.0;5;linear]"/>
<parameter key="Neural Net.momentum" value="[0;1.0;5;linear]"/>
<parameter key="Neural Net.decay" value="true,false"/>
<parameter key="Neural Net.shuffle" value="true,false"/>
<parameter key="Neural Net.normalize" value="true,false"/>
</list>
<process expanded="true">
<operator activated="true" class="neural_net" compatibility="5.3.015" expanded="true" height="76" name="Neural Net" width="90" x="112" y="30">
<list key="hidden_layers">
<parameter key="1" value="10"/>
</list>
<parameter key="training_cycles" value="1000"/>
<parameter key="learning_rate" value="0.60004"/>
<parameter key="momentum" value="0.0"/>
<parameter key="normalize" value="false"/>
<parameter key="error_epsilon" value="1.0E-6"/>
</operator>
<operator activated="true" class="apply_model" compatibility="5.3.015" expanded="true" height="76" name="Apply Model" width="90" x="246" y="30">
<list key="application_parameters"/>
</operator>
<operator activated="true" class="performance_regression" compatibility="5.3.015" expanded="true" height="76" name="Performance" width="90" x="380" y="30"/>
<connect from_port="input 1" to_op="Neural Net" to_port="training set"/>
<connect from_op="Neural Net" from_port="model" to_op="Apply Model" to_port="model"/>
<connect from_op="Neural Net" from_port="exampleSet" 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="Apply Model" from_port="model" to_port="result 2"/>
<connect from_op="Performance" from_port="performance" to_port="performance"/>
<connect from_op="Performance" from_port="example set" to_port="result 1"/>
<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"/>
<portSpacing port="sink_result 2" spacing="0"/>
<portSpacing port="sink_result 3" spacing="0"/>
</process>
</operator>
<operator activated="true" class="neural_net" compatibility="5.3.015" expanded="true" height="76" name="Neural Net (2)" width="90" x="313" y="210">
<list key="hidden_layers">
<parameter key="1" value="10"/>
</list>
<parameter key="training_cycles" value="1000"/>
<parameter key="learning_rate" value="0.386"/>
<parameter key="momentum" value="0.0"/>
<parameter key="normalize" value="false"/>
<parameter key="error_epsilon" value="1.0E-6"/>
</operator>
<operator activated="true" class="apply_model" compatibility="5.3.015" expanded="true" height="76" name="Apply Model (2)" width="90" x="447" y="210">
<list key="application_parameters"/>
</operator>
<operator activated="true" class="performance_regression" compatibility="5.3.015" expanded="true" height="76" name="Performance (2)" width="90" x="581" y="210"/>
<connect from_op="Gen. Data" from_port="out 1" to_op="Multiply" to_port="input"/>
<connect from_op="Multiply" from_port="output 1" to_port="result 1"/>
<connect from_op="Multiply" from_port="output 2" to_op="Neural Net (2)" to_port="training set"/>
<connect from_op="Neural Net (2)" from_port="model" to_op="Apply Model (2)" to_port="model"/>
<connect from_op="Neural Net (2)" from_port="exampleSet" to_op="Apply Model (2)" to_port="unlabelled data"/>
<connect from_op="Apply Model (2)" from_port="labelled data" to_op="Performance (2)" to_port="labelled data"/>
<connect from_op="Apply Model (2)" from_port="model" to_port="result 3"/>
<connect from_op="Performance (2)" from_port="performance" to_port="result 2"/>
<connect from_op="Performance (2)" from_port="example set" to_port="result 4"/>
<portSpacing port="source_input 1" spacing="0"/>
<portSpacing port="sink_result 1" spacing="0"/>
<portSpacing port="sink_result 2" spacing="162"/>
<portSpacing port="sink_result 3" spacing="0"/>
<portSpacing port="sink_result 4" spacing="0"/>
<portSpacing port="sink_result 5" spacing="0"/>
</process>
</operator>
</process>
Could anyone help to solve this problem or just explain to me why this error appears?
I want the parametres of neural network are exactly the same as in my process (to change NN's parametres is not an option).
Thanks in advance to everyone who will answer.
