"X-validation problem"

PAP

Hi,
I have problem with X-Validation. The problem occurred when I update new version 5.103. I can not use numerical label in train data. Message is : "X-Validation cannot hadle numerical label." But all was ok in last verison ... where is error?
Simple example:

<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.1.003">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="5.1.003" expanded="true" name="Process">
    <process expanded="true" height="650" width="710">
      <operator activated="true" class="retrieve" compatibility="5.1.003" expanded="true" height="60" name="Retrieve" width="90" x="61" y="111">
        <parameter key="repository_entry" value="DB9"/>
      </operator>
      <operator activated="true" class="x_validation" compatibility="5.1.003" expanded="true" height="112" name="Validation" width="90" x="313" y="120">
        <process expanded="true" height="650" width="330">
          <operator activated="true" class="neural_net" compatibility="5.1.003" expanded="true" height="76" name="Neural Net" width="90" x="112" y="30">
            <list key="hidden_layers"/>
          </operator>
          <connect from_port="training" to_op="Neural Net" to_port="training set"/>
          <connect from_op="Neural Net" 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" height="650" width="330">
          <operator activated="true" class="apply_model" compatibility="5.1.003" expanded="true" height="76" name="Apply Model" width="90" x="45" y="30">
            <list key="application_parameters"/>
          </operator>
          <operator activated="true" class="performance_regression" compatibility="5.1.003" expanded="true" height="76" name="Performance" width="90" x="179" y="30"/>
          <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>
      <connect from_op="Retrieve" from_port="output" to_op="Validation" to_port="training"/>
      <connect from_op="Validation" from_port="averagable 1" 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>

Thank you  for your answers

Matthias

Hi,

think you have the same problem like I suffered two weeks ago.

http://rapid-i.com/rapidforum/index.php/topic,3135.msg12409.html#msg12409

You must not use the sampling type: "stratified sampling ".

land

Hi,
yes that's the problem. Without nominal label that defines classes you cannot afford to build stratified samples...

Greetings,
  Sebastian