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I need to convert model output to data !!

Hello everyone, I built a logistic regression model to get the coefficients and Intercepts to generate new attributes .. so how can I convert the result of this model to data so I can use it ?? Thanks

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Accepted answers

Jeff_Mergler

The Converters extension has a Logistic Regression to ExampleSet operator that should work for you.

All comments

Jeff_Mergler

The Converters extension has a Logistic Regression to ExampleSet operator that should work for you.

omarnj

professor @jmergler
, I just tried this, it creates a dataset from log Reg but with no data, so what is the issue?

varunm1

Hello @omarnj

Can you share your XML process? (View --> Show Panel --> XML) This extension will convert the coefficients into an example set as mentioned by @jmergler. Here is the tested process on titanic dataset.

<?xml version="1.0" encoding="UTF-8"?><process version="9.2.001">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="9.2.001" expanded="true" name="Process">
    <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="9.2.001" expanded="true" height="68" name="Retrieve Titanic Training" width="90" x="179" y="34">
        <parameter key="repository_entry" value="//Samples/data/Titanic Training"/>
      </operator>
      <operator activated="true" class="h2o:logistic_regression" compatibility="9.2.000" expanded="true" height="124" name="Logistic Regression" width="90" x="380" y="85">
        <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="0.5.000" expanded="true" height="82" name="Logistic Regression to ExampleSet" width="90" x="514" y="136"/>
      <operator activated="true" class="generate_attributes" compatibility="9.2.001" expanded="true" height="82" name="Generate Attributes" width="90" x="648" y="136">
        <list key="function_descriptions">
          <parameter key="test" value="[Std. Coefficient]"/>
        </list>
        <parameter key="keep_all" value="true"/>
      </operator>
      <connect from_op="Retrieve Titanic Training" 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_op="Generate Attributes" to_port="example set input"/>
      <connect from_op="Generate Attributes" from_port="example set output" 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>

Here is the example set.

Image: https://us.v-cdn.net/6030995/uploads/editor/ap/9f70m0ryc8z3.png

omarnj

thanks, @varunm1 , it works finally but I have another question now if you may help !! How can I use this data to make it matches each row in my data, so for example in Titanic Data , the coefficient of Sex.male is 2.701 .. so how can i match it with my data so all people who are male there is a column next with the coefficient of 2.701 .. hope my query is clear

thanks