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Why Converter "Logistic Regression to ExampleSet" won't work?

TNTTNT Member Posts: 2 Contributor I
I thought this was a problem of my model, but it doesn't work in the Tutorial either. Error message is "Wrong connection. Your connection is producing the wrong type of data. Try changing the starting point of the connection."

<?xml version="1.0" encoding="UTF-8"?><process version="9.9.000">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="9.4.000" expanded="true" name="Process" origin="GENERATED_TUTORIAL">
    <parameter key="logverbosity" value="init"/>
    <parameter key="random_seed" value="2001"/>
    <parameter key="send_mail" value="never"/>
    <parameter key="notification_email" value=""/>
    <parameter key="process_duration_for_mail" value="30"/>
    <parameter key="encoding" value="SYSTEM"/>
    <process expanded="true">
      <operator activated="true" class="retrieve" compatibility="9.9.000" expanded="true" height="68" name="Retrieve Deals" origin="GENERATED_TUTORIAL" width="90" x="45" y="34">
        <parameter key="repository_entry" value="//Samples/data/Deals"/>
      </operator>
      <operator activated="true" class="h2o:logistic_regression" compatibility="7.2.000" expanded="true" height="124" name="Logistic Regression" origin="GENERATED_TUTORIAL" width="90" x="179" y="34">
        <parameter key="solver" value="AUTO"/>
        <parameter key="reproducible" value="false"/>
        <parameter key="maximum_number_of_threads" value="4"/>
        <parameter key="use_regularization" value="false"/>
        <parameter key="lambda_search" value="false"/>
        <parameter key="number_of_lambdas" value="0"/>
        <parameter key="lambda_min_ratio" value="0.0"/>
        <parameter key="early_stopping" value="true"/>
        <parameter key="stopping_rounds" value="3"/>
        <parameter key="stopping_tolerance" value="0.001"/>
        <parameter key="standardize" value="true"/>
        <parameter key="non-negative_coefficients" value="false"/>
        <parameter key="add_intercept" value="true"/>
        <parameter key="compute_p-values" value="true"/>
        <parameter key="remove_collinear_columns" value="true"/>
        <parameter key="missing_values_handling" value="MeanImputation"/>
        <parameter key="max_iterations" value="0"/>
        <parameter key="max_runtime_seconds" value="0"/>
      </operator>
      <operator activated="true" class="converters:h2o_logreg_2_example_set" compatibility="0.9.000" expanded="true" height="82" name="Logistic Regression to ExampleSet" origin="GENERATED_TUTORIAL" width="90" x="380" y="34"/>
      <connect from_op="Retrieve Deals" from_port="output" to_op="Logistic Regression" to_port="training set"/>
      <connect from_op="Logistic Regression" from_port="model" to_op="Logistic Regression to ExampleSet" to_port="mod"/>
      <connect from_op="Logistic Regression to ExampleSet" from_port="exa" 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"/>


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Best Answer

  • mschmitzmschmitz Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,053  RM Data Scientist
    Solution Accepted
    Hi @TNT ,
    i fixed it in our development version. Its being reviewed and be fixed in the next version of Converters.

    Best,
    Martin
    - Head of Data Science Services at RapidMiner -
    Dortmund, Germany

Answers

  • lionelderkrikorlionelderkrikor Moderator, RapidMiner Certified Analyst, Member Posts: 1,180   Unicorn
    Hi @TNT,

    A workaround is to use Linear Regression Model to ExampleSet operator instead 
    Logistic Regression to ExampleSet operator...

    Hope this helps,

    Regards,

    Lionel
  • mschmitzmschmitz Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,053  RM Data Scientist
    Hi,

    sorry, that's a straight up bug. We will look into this.

    Best,
    Martin
    - Head of Data Science Services at RapidMiner -
    Dortmund, Germany
  • TNTTNT Member Posts: 2 Contributor I
    Thanks both for the timely response. The workaround does fundamentally work although I do need to fiddle with some following attribute expressions and look forward to the corrected version. 
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